Energy Storage Technology & Digital Security March 2023
Table of contents
1| Executive Summary
3
2| Our Response
4
3| T&DS Solution Overview
6
4| Work Package Response
9
5| Delivery Method
30
6| Additional Services
32
7| Our Global SMEs
34
8| Our Smart Factory Network & Alliances
36
9| Our Experience
31
2
Executive Summary We are pleased to submit our response to your RFI for the delivery and operation of the Technology & Digital Security (T&DS) workstream as part of the Energy Storage programme. This is an exciting time for Dyson. The Energy Storage programme will not only mark a leap forward in battery technology, but it will also put Dyson firmly at the forefront of cutting-edge manufacturing technology. The T&DS workstream will deliver and operate the technology required to build a world-leading smart factory, enabling the manufacture of battery technology at a quality, scale and cost previously unimaginable. For the past 12 months, we have been with you every step of the way: working collaboratively with Dyson colleagues to establish the business case, the vision, the scope and design of the T&DS solution. We understand the needs of your business, what you are trying to achieve, and the complexity involved. We believe we are the right partner to support you in taking this solution from design to reality. •
We bring both the breadth and depth of capability required to make your Smart Factory a success: − We have deep expertise and the ability to execute across all tendered lots, including the ability to orchestrate and integrate the programme ensuring cohesion across T&DS − Critically, we have experience integrating the triumvirate of supply chain, product lifecycle and manufacturing enterprise systems − We have a proven track record of building end-to-end, innovative digital twin solutions for our clients − We bring solid alliances with vendors across the technology landscape, and tried and tested accelerators that can be leveraged to speed up the time to value
•
Our team is global, with a local touch. We can bring the best of Deloitte to bear – delivering leadership out of Singapore and the UK whilst leveraging extensive regional capability across Southeast Asia. Our Global Delivery Network in Asia and India can be leveraged to deliver scale and cost benefits
•
We understand the importance of building Dyson’s IT capability in parallel to delivery, and we know that this is integral to setting the organisation up for BAU success. We will work collaboratively with Dyson to assess and `address capability gaps, ensuring effective coaching and knowledge transfer over the course of the programme
•
We know that this is about more than just delivering technology to support the pilot factory; this is an opportunity to develop a solution that is extensible and scalable, a solution that can be taken forward to ultimately enable the delivery of your Gigafactory
We know Dyson and the ES Programme. We have supported you in establishing the T&DS workstream and setting it up for success; we have worked with you to design the solution, devoting time to understand nuance and complexity; we have deep knowledge of the end-state vision, and we know what it will take to jointly deliver the solution. We are committed to supporting you in successfully delivering and operating the T&DS workstream. Thank you again for the opportunity to respond to this RFI and do contact me if you have any questions,
Dan McMillian Lead Delivery Partner Tel: +44 7795 021912 Mail:
[email protected] 3
Our Response
4
OUR RESPONSE
Our breadth of capability Leveraging the breadth of our global capability, we have responded to, and provided a point of view on all 9 lots. As the only partner who understands the end-to-end vision, and all of its nuance and complexity, we believe we are well positioned to support you in taking the T&DS workstream from design to delivery and operate. SCOPE OF THIS RFI
IMAGINE
Realise | Build
INF
As the solution transitions to operate, the Deloitte team will provide the expertise and man-power required to manage the systems in BAU. We will help Dyson find the right long-term solution for BAU operations, and support internal upskilling where required
MOT
MOT
MOT
PLM
MES & Historian are required to enable core business capabilities to provide real-time end-toend traceability. These systems will serve as the digital back-bone providing a single source of truth, with contextualised prod., time series and event stream data to support predictive and simulation capabilities
As quality is at the heart of Dyson, implementing LIMS systems will be vital to embed and digitise quality control across the battery production process, from raw materials to shipped products
To achieve your vision for the ES Factory of the Future you need to select a modern SCADA system that provides a highly open, scalable and interoperable process control platform that works in conjunction with the other MOM systems and the Digital Twin Platform
ES seeks to enhance Dyson’s existing PLM capabilities to enable: • MBOM, EWI and ECM capabilities • Integration with the Intelligent Digital Twin • Management of chemical formulation of the battery as the design matures
(MES & Historian)
We understand the importance of getting the underlying infrastructure, network and security right to enable the smart factory that ES requires,` including: • A converged plantwide network • Private 5G network • Hybrid infrastructure • Security controls
DELIVER & RUN
Deploy | Operate
Building on the work carried out in earlier phases to design the solution and build the delivery backlog, we will support you in the agile delivery of the T&DS solution. Acting as a trusted partner, supporting you in delivering complex technology solutions, managing a multi-party delivery landscape, and building your internal capability
For over 12-months, we have worked alongside Dyson to set the vision, scope and boundary for the T&DS workstream. We have a deep understanding of the end-to-end solution
5
RUN
DELIVER
Prepare | Explore
(LIMS)
(SCADA)
SCM
DTP
INT
PMO
To deliver a flexible and transparent digital manufacturing set-up, the existing S/4 Hana platform will require new capabilities to be enabled, such as: • Detailed Production Planning & Scheduling • Quality Mgmt. • Enterprise Asset Mgmt. • Warehouse Ops
ES requires a fast and effective Intelligent DTP to enable the real-time observation, analysis, control, optimisation and automation of the ES facility. The proposed DTP design supports an iterative and progressive addition of modules to extend and scale capability to improve facility operation
To enable ES, OT and IT systems need to be seamlessly connected. Our proposed approach includes: flexible manufacturing gateway – enabling data to be routed between systems in real time; Operational Data Fabric – enabling short-term history for both the DTP and operational needs
A strong PMO will support Dyson in orchestrating the complex multi-party and vendor landscape, drawing from our deep PMO expertise of largescale technology transformation, integrating the delivery and driving value realisation while ensuring that Dyson capability is built and matured
T&DS Solution Overview
6
T&DS SOLUTION OVERVIEW
Factory of the future | Solution overview Manufacturing battery technology that is safe, performant and reliable Smart Sensors monitor every aspect of the production process and the environment such as humidity, temperature etc. Private 5G network enables advanced technology such as AI visual inspection, augmented reality, robot support in hazardous places and flexible reconfiguration of equipment
Energy efficient production – Linking energy and production data to optimise energy consumption, efficiency of machines, and environmental control
Operator 4.0 – technology augmentation such as Augmented Reality (AR) enhances worker operations, improves collaboration with robots and other workers. Smart wearables enhance worker safety
7
The Digital Twin: • Provides real-time monitoring of equipment, processes and their status • Uses AI & ML to provide predictive insights and recommendations on how to optimise production based on past performance • Allows users to run what-if simulations to evaluate alternative courses of action and how to best respond to events • Provides the ability to automatically adjust the process in real-time without the need for operator intervention
Digital Supply Network Integrated Enterprise and Manufacturing IT systems enable a dynamic and intelligent supply network and manufacturing process
Maximise OEE through predictive maintenance and dynamic production planning
Converged plant wide network enables all IT, Operational Technology, building management systems, equipment and devices to share information in real-time and collaborate to become a self-optimizing system
T&DS SOLUTION OVERVIEW
ES Solution Architecture To deliver the end state vision for smart battery manufacturing at scale, Dyson need to integrate an ecosystem of technology components. The diagram below visualises the solution in its entirety, and highlights the components included within the scope of this RFI
Enterprise
Level 4
• • • • •
BoM Management Change Management 3rd Party Collaboration BoP Management Specification
• • •
Supply Chain / ERP
Page 17-18 WP5_PLM
PLM
Management Electronic Work Instruction Product Cost Management Product Compliance Management
Sourcing, Direct Procurement Quality • Management Inventory & Warehouse Mgmt • Material Master Data Mgmt • Health & Safety Mgmt • Waste, Materials
• • • • • •
Enterprise Data Store
Page 19-20 WP6_SCM
Disposal and Returns Mgmt Plant Maintenance Mgmt Supply Planning Mgmt Long Range Planning Sustainability
• • •
Process Data Environmental Data Enterprise Data
Page 12-13 WP2_MOT
Enterprise Integration Services Page 12-13 WP2_MOT
MES
Level 3
• • •
•
Guided Process • Execution Mgmt. In-Process • Quality Control Material/ Product Tracking & Genealogy Production Order Tracking
OEE & Downtime Mgmt. Automated Movement of WIP
Factory
Level 2
• Line Control • Alarm Mgmt.
•
• Page 16 WP4_MOT
•
Page 25-26 WP8_INT
Lab sample Mgmt. Tracking & tracing Lab Execution Mgmt
• • •
Process & • Production Time Series & Event Data • Serialisation • Data Batch Data
•
Offline Process Design • E2E process design simulation
•
Offline Cell Design • Cell performance prediction and improvement
•
Inventory Management
•
Material Conditioning
•
Operational Facility Optimisation • Temp control and monitoring in Cebap • Monitoring and optimization of Calendering process • Environmental & Energy optimisation
Page 12-13 WP2_MOT
Plant Data Store
Process Controls (SCADA) • Secure Operator Interface • Batch Control
LIMS
Environment Time Series & Event Data Inspection Data Store & Forward
•
Page 12-13 WP2_MOT
•
E2E Quality Control Sampling • Sampling rate optimisation
•
Plant wide Performance Uniformity • Control parameter adjustment • Metrological insights • Cell to cell variation optimisation
BMS
AGV Control
Environment al Monitoring & Control
OOS
•
Equipment Monitoring
•
Predictive Maintenance
Manufacturing Message Broker & Gateway
PLC’s / Controllers / IIoT
OOS
Sensors, Drivers, Actuators, Valves, Pumps, Robots, etc.
Level 0
Work Package Reference
8
OOS
OOS
Edge Compute
Industrial Vision (inspection) etc
OOS
AGV
OOS
Lab Equipment
OOS
Wearables
Manufacturing Process
OOS
Plant
OOS
Out Of Scope - required but not included within the scope of this RFI
IaaS PaaS SaaS Security
• • • •
Page 10-11 WP1_INF
Plant IT Infra.
• • • • • • •
Compute Storage Core IT User devices Network 5G Security
OOS
Page 25-26 WP8_INT
IT / OT / IIoT Integration | Continuous Data Collection | Batch Data Collection | Data Contextualisation
Level 1
Cloud IT Infra.
22-24 Digital Page WP7 _DTP Twin Platform
OOS
HVAC / Utility / IIoT Sensors, Valves, Pumps etc
Facility Security
Page 10-11 WP1_INF
OOS
Physical Access Control, CCTV etc
Work Package Response
9
WORK PACKAGE RESPONSE
WP1_INF Infrastructure Network and Security
Deloitte has extensive experience in designing, building and operating Infrastructure, Network and Security required to run a Factory of the Future
#1
Our POV •
Connectivity is a key technology enabler for smart factory and digital twin initiatives. You require a communications fabric that enables all IT, OT and building management systems and devices to communicate so they can share information in real-time and work together to optimise the operation
•
This requires reimaging of the old ways of implementing segmented IT / OT plant network designs and is achieved by building a single converged plant wide network that connects all devices in a mesh using modern internet-based protocols, and ensuring these standards are defined and supported by all devices
•
A private 5G network forms part of the converged plant network as it provides more reliable and performant wireless connectivity than can be achieved by wifi technology alone to enable advanced use-cases such as AI visual inspection, augmented reality, cobots and robot support in hazardous places, and flexible reconfiguration of equipment. A private 5G network (as opposed to public or Stand Alone) provides the necessary security and enables data to be processed locally within the plant
•
You require a hybrid infrastructure that enables high-bandwidth, real-time processing of manufacturing data locally within the plant combined with modern cloud native applications and enterprise analytics
•
Finally, increased IT/OT convergence and plant connectivity to the cloud drives the need for enhanced Enterprise & Industrial Control System security controls to protect the business against the cyber risks introduced by increased connectivity
In Cloud, Gartner 2020-22
7,000+
Cloud practitioners
#1 In Security Consulting Services, Gartner2021
1,500+
Interconnected experts in OT Cyber Security in our global community
30+ Cyber Intelligence Centres proving fully customizable OT managed security solutions
10
Infrastructure Deloitte’s Cloud Infrastructure & Engineering services provide infrastructure and networking solutions to connect, optimize, and manage private, public, and hybrid infrastructure solutions. We have extensive experience in designing building and operating smart factory infrastructure. Our services and capabilities include: •
Plant IT / OT Network Design & Build (including routing, switching)
•
5G plant network architecture and design (including private factory 5G networks)
•
Hybrid Infrastructure Design & Build (including GCP, AWS and Azure, and containerisation & virtualization platforms such as Kubernetes & VMware)
•
Corporate WAN Design & Build (including SD-WAN, MPLS, S2S VPN)
•
Design & build of resilient core plant infrastructure services such as directory, remote access & network services
WORK PACKAGE RESPONSE
WP1_INF Infrastructure Network and Security (Continued…)
Deloitte has extensive experience in designing, building and operating Infrastructure, Network and Security required to run a Factory of the Future
#1 In Cloud, Gartner 2020-22
7,000+
Cloud practitioners
#1
Industrial Security The Deloitte industrial cyber security team spans the globe with operations to meet the regional requirements a business needs. We have worked with dozens of major consumer manufacturers, industrial and energy companies globally. Our services and capabilities include: •
Enterprise & Industrial network security architecture and design
•
Application Security
•
Cloud Security
•
Industrial Control Systems Security
•
Managed Security Services
Assets & Accelerators
In Security Consulting Services, Gartner2021
Our global Smart Factories in the United States, Japan, Germany and Canada marry advanced manufacturing techniques with the Internet of Things, Cloud, Computer Vision, 5G & Cybersecurity. https://www.thesmartfactory.io/
1,500+
Interconnected experts in OT Cyber Security in our global community
30+ Cyber Intelligence Centres proving fully customizable OT managed security solutions
The Deloitte Smart Factory Fabric on AWS (Link) is a pre-configured suite of cloud-based IoT applications designed to accelerate smart factory transformations. Capabilities include •
Real-time optimisation of shop-floor
•
Factory operations visibility & analytics
•
Dynamic workforce management
•
Scalable IoT services
Vendors and Alliances AWS Premier Consulting Partner
Deloitte Smart Factory ecosystem Founding sponsor for the Deloitte Smart Factory 11
Industry Solutions Partner of the Year (link) Deloitte Smart Factory ecosystem Alliance Partner
Verizon 5G network is deployed at the Deloitte Smart Factory Alliance Partner
WORK PACKAGE RESPONSE
WP2_MOT MES & Historian Design & Implementation In order to manufacture safe, performant, reliable battery technology you require a Manufacturing Execution System (MES) and Historian to control and monitor the execution of the manufacturing process, and drive continuous improvement through detailed analysis of process execution performance Our MES POV 100+ digital factory projects driving over $300M in value for our clients in last 12 months
225+ Industry 4.0 services clients
•
A Manufacturing Execution System will enable you to control and monitor the execution of the manufacturing process, and drive continuous improvement through analysis of its performance
•
Given you do not have a MES today, you will need to select a MES system and should select a solution that is suitable for all Dyson manufacturing and not just ES to avoid unnecessary future complexity and cost
•
We recommend you establish a cross business team to specify and select a solution and use the ES programme to implement the global template for other parts of the business
•
MES capabilities can be implemented in an iterative and incremental manner based on operational priorities to avoid high-risk big-bang delivery
Our Historian POV
8+ comprehensive digital manufacturing capabilities
•
The ability to acquire, contextualise, process and analyse data is key to achieving your objectives
•
Our POV is that your requirements cannot be met by a plant Historian or cloud technology alone
•
Within the plant, you need to be able to acquire and act upon high-volumes of timeseries and event data. It is not economical or reliable to stream all this data to the cloud for control decisions therefore you need a local plant historian which is purpose designed for this use-case
•
Selected plant data should then be streamed to the cloud so that it can be combined with other enterprise data sets for further analysis plus long term retention backed by cloud storage
z 2,000+ practitioners globally – with MES, Shopfloor, IT/OT expertise
12
Our Historian POV •
Extensive experience in the design and implementation of integrated MES and Historian solutions to enable “Digital Product DNA”
•
Diverse partner ecosystem and global experienced skill-base in MES and OT
•
MES project execution model which supports the ES strategy of Think Big, Start Small and Scale Fast to achieve the mfg. of >25M units
•
Industry-leading manufacturing practices and decades of operational transformation know-how to standardise a MES global design
•
Core solution templates to accelerate and scale MES deployments for ES and across other business units/ networks in future
•
A pre-configured ecosystem of processes and digital solutions that integrates PLM, MES, model-based solutions and SAP
WORK PACKAGE RESPONSE
WP2_MOT MES & Historian Design & Implementation (Continued…) In order to manufacture safe, performant, reliable battery technology you require a Manufacturing Execution System (MES) and Historian to control and monitor the execution of the manufacturing process, and drive continuous improvement through detailed analysis of process execution performance Assets & Accelerators 100+ digital factory projects driving over $300M in value for our clients in last 12 months
Preconfigured Deloitte MES solution provides a comprehensive set of MES capabilities that enables manufacturing efficiencies across various departments Conference Room Pilots (CRP) allow future end users to validate the proposed MES template design against their business processes before the implementation begins Library of pre-defined Test Scripts built in automated test tools to support UAT in an agile delivery environment Digital Manufacturing Playbook comprises Deloitte’s point of view on digital supply networks and an approach to guide organisations towards their Smart Factory
225+ Industry 4.0 services clients
8+ comprehensive digital manufacturing capabilities
z 2,000+ practitioners globally – with MES, Shopfloor, IT/OT expertise
13
Partners and Alliances
Vendor Experience
WORK PACKAGE RESPONSE
WP3_MOT LIMS Design & Implementation To ensure quality control is established and executed within the labs, you will need visibility of lab operations. Capturing data through LIMS will enable not only greater quality control and process optimisation, but it will enable end-to-end product traceability and the ability to meet future potential compliance obligations Our POV 15+ Quality transformations and eQMS implementation
100+ trained and certified practitioners across platforms like Veeva, CQ and Sparta
10+ QC lab strategy and LIMS implementation
z 200+ Quality and Regulatory practitioners working on eQMS, LIMS and Lab of Future
•
You need to embed quality controls into the end-to-end battery production process from raw material receipt to shipping of finished products
•
To ensure quality control is established and executed within the labs you need visibility and control of lab operations
•
In industries where quality really matters (energy, pharma, food and drink), LIMS provides this control and confidence
•
LIMS will also enable you to optimise lab processes and the use of resources as part of maximising overall production throughput
•
LIMS is required to enable end-to-end production process traceability – supporting root cause analysis if there is something wrong with the quality of the product, enabling digital twin uses cases like “Optimising Lab Resources”, “Root Cause Analysis of failed results”, and it will set the foundation for “Lab of the Future”
•
Finally, as the prevalence of battery manufacturing increases and the industry becomes more closely regulated, you will be well positioned to meet future compliance obligations
Core Capabilities •
Tailored approach for LIMS implementation which focuses on effective solution deployment, agile delivery and early value delivery
•
LIMS software template and test method templates, as a reusable component, to expedite the LIMS deployment
•
SiLA / AnIML based system integration approach to enable interoperable and an open ecosystem for Lab instrument integration
•
Pre-defined system integration and data taxonomy standards to enable digital thread (e.g. integration with ERP, MES, PLM)
•
Strategy and Visioning framework to define and create the roadmap for the lab of the future
•
Predefined list of business capabilities and process maps to design the next gen lab`
Key Differentiators
14
•
Deloitte’s deep understanding in Quality Labs has helped clients in adopting technologies like Smart watches, AR Glasses, Virtual Lab Assistance and Automation of Lab processes
•
Deloitte’s Framework for Trustworthy AI and Validation approach has helped client seamlessly augment Lab operators with the right tools and technology
Thought Leadership
The Quality Lab of Future
Transforming Quality Mgmt AI-powered solution
WORK PACKAGE RESPONSE
WP3_MOT LIMS Design & Implementation To ensure quality control is established and executed within the labs, you will need visibility of lab operations. Capturing data through LIMS will enable not only greater quality control and process optimisation, but it will enable end-to-end product traceability and the ability to meet future potential compliance obligations Assets & Accelerators 15+ Quality transformations and eQMS implementation
100+ trained and certified practitioners across platforms like Veeva, CQ and Sparta
10+ QC lab strategy and LIMS implementation
z 200+ Quality and Regulatory practitioners working on eQMS, LIMS and Lab of Future
15
Digital Quality Implementation Playbook provides guidelines around process design, LIMS software implementation, testing and validation System Integration Artifacts based on Enterprise Integration Platforms, enable applications to be integrated in a manner that is loosely coupled, and based on an Industry Standard Canonical model for information exchange Digital Quality Reference Architecture provides reference data management and architecture along with all the associated templates for data governance, data architecture, master data management, data quality, data cleansing, data archiving, and data abstraction
Partners and Alliances
Vendor Experience
WORK PACKAGE RESPONSE
WP4_MOT SCADA System To achieve your vision for the ES Factory of the Future you need to select a modern SCADA system that provides a highly open, scalable and interoperable process control platform that works in conjunction with the other MOM systems and the Digital Twin Platform Our Viewpoint on SCADA in ES The operation of the ES facility requires industrial control systems to monitor and control the physical process parameters. This function is orchestrated ‘from afar’ through use of a SCADA that interacts with the PLCs and devices on the manufacturing line. A modern SCADA system provides key capabilities that form part of the overall ES Factory of the Future as shown in the diagram. To achieve your vision for the ES Factory of the Future you need a platform that: •
Provides critical process control and safe and secure operator HMIs
•
Provides two-way communication between all PLCs, IIoT devices and MOM systems from different vendors using modern interoperable industrial protocols including MQTT, Sparkplug, REST APIs and OPC UA
•
Implements pub/sub communication to enable high-levels of scalability & extensibility
•
Implements an event driven architecture that enables real-time responses
•
Enables safe and secure process control HMIs to be created that are capable of running on any device, including mobile, aggregating data from multiple sources including Digital Twins, and compliance with standards such as ISA101 and ISA18
•
Provides a plant data store (historian) that is optimised for the storage and retrieval of tag and event data and makes data available to plant applications and systems
•
Ability to forward data to the cloud for further analytics and historical analysis
•
Supports modern security standards Capabilities provided by SCADA Enterprise Integration Services
Factory
Digital Twin Platform
LIMS
MES
Modern SCADA
Plant Data Store
HMIs
AGV Control
BMS
Facility Security Systems
Utility Systems
Edge Compute
Manufacturing Message Broker & Gateway – IIoT & OT MQTT, Spark+, UPC UA, REST API, legacy e.g. Modbus
PLC
IIoT
Camera
Lab Equipment
Wearables
AGV
HVAC
Utility
Access Control
CCTV Control
Plant
Manufacturing Process
Modern SCADA systems provide these capabilities that need to form part of the overall ES factory of the future, as indicated in the diagram. Note there is overlap between the capabilities of modern SCADA with Industrial IoT systems (IIoT) but there are differences in their primary use-cases. SCADA systems primarily focus on providing critical process monitoring and control, whereas IIoT platforms are focused on collecting and analysing data from many sensors and devices to optimise operations and improve efficiency. Our approach combines both.
Assets & Accelerators Our Deloitte Smart Factory Fabric incorporates Ignition SCADA platform from Inductive Automation to provide these capabilities as part of the overall solution. Ignition SCADA gateway enables communication between PLCs, IIoT devices, the Digital Twin platform and other MOM systems. The Ignition Data Historian provides optimised data storage and retrieval for tag and event data. Edge applications can access the data. Ignition HMI allows critical process control HMIs to be developed and deployed to different devices within the plant such as dedicated touch panels or mobile tablets. AWS IoT Greengrass provides edge compute and routing to the cloud. 16
WORK PACKAGE RESPONSE
WP5_PLM Product Lifecycle Management (PLM) Design & Implementation To move from prod design into scaled prod, you will need to enhance the capabilities of your PLM platform to support supply chain and manufacturing operations Our POV
#1 in Digital Transformations in Digital Innovation Consulting
•
As the ES programme moves from the design phase to production, down-stream activities and teams will increasingly rely on access to product & process design information and the ability to collaborate on change
•
Supply Chain and Production Planning needs to collaborate with engineering on the Manufacturing Bill of Materials (MBOM) to plan production and procurement of materials
•
Manufacturing Operations need to collaborate with engineering on MBoM, Bill of Process (BoP), formulation and Electronic Work Instructions (EWI) to execute production in accordance with engineering requirements
•
Digital Twins for the object and the manufacturing processes need to be kept in sync with their physical counterparts through physical/digital-twin life-cycle management
•
To do this Dyson needs to extend the existing PLM platform to manage MBoM, Change Management, EWI and the chemical formulation of the battery in a structured manner as these capabilities do not exist today
1,500+ Global PS&LM Practitioners
250+ Digital transformations with 60+ deployments in the last 5 years
z
Core Capabilities We provide an end-to-end multi-disciplinary approach to digital product development experience from Model-Based Enterprise strategy development to process/technology implementation including PLM, ALM, CAD/Sim, ERP and MES integration. •
Leaders in Digital Thread implementation
•
Extensive organisational design and change leadership
•
We are the first to deploy Siemens Teamcenter on Azure
We have demonstrated the value of our capabilities across multiple clients, showing: •
15-20% Improved Labour Efficiency
•
30-50% Quicker Time-to-market
•
8-20% Reduced Product Costs
•
10-30% Lower Cost of Quality
Delivery Centres We have delivery centres in Asia-Pacific, Europe, North America, and India to provide development, configuration, security, and training.
17
•
Our global delivery centres have been assessed at CMMi Level 5 (Capability Maturity Model)
•
We follow a common set of development methodologies and tools globally. Roles and responsibilities are fully integrated, and operate in a coordinated manner, with a single point of accountability to the onsite team
WORK PACKAGE RESPONSE
WP5_PLM Product Lifecycle Management (PLM) Design & Implementation (Continued…)
To move from prod design into scaled prod, you will need to enhance the capabilities of your PLM platform to support supply chain and manufacturing operations Assets & Accelerators
#1 in Digital Transformations in Digital Innovation Consulting
DPLM Deloitte’s PLM Process Maps based on Industry best practices and preconfigured solution
DPDx Frameawork for Data Transformation and Migration
1,500+ Global PS&LM Practitioners
250+ Digital transformations with 60+ deployments in the last 5 years
Partners and Alliances
Thought Leadership
z
Transforming-tothrive
18
Digital Thread for Additive Manufacturing
WORK PACKAGE RESPONSE
WP6_SCM Supply Chain Management Solution (ERP S4 HANA) Design & Implementation
Owning the entire lifecycle of the battery manufacturing process necessitates the extension of your existing ERP solution. However, it also provides a unique opportunity to take an enterprisewide approach to leveraging the full scope of its capabilities, taking advantage of new features and modernising core processes Our POV
30+
Years of relationship with SAP
#1
Deloitte now ranks as SAP’s top revenue influencer globally
150+ Awards over 7 years Internationally
•
As a result of establishing the ES business you will own the end-to-end lifecycle of a manufacturing process
•
In order to deliver this capability, you need to bring processes online and build a scalable ERP solution that is fit-for-purpose
•
As evidenced by the in-flight IBP programme, it will be integral in enabling effective planning and value realisation
•
It will also be a key enabler of your ambition to visualise and optimise processes through the Digital Twin
•
To do this, you need to extend your ERP solution to enable: detailed production planning and scheduling; quality management; enterprise asset management; and, warehouse operations
•
To derive true benefit from S/4 HANA, you will need to take an enterprise-wide approach to designing, implementing and operating your ERP solution. This programme provides the perfect opportunity to ensure you are leveraging the platform to its full potential, to take advantage of new features, and modernise your core supply chain processes
25,000+ SAP Practitioners Globally
700+z SAP Focused FTEs in SEA
25 SAP Pre-configured/ Industry solutions
20+ Engagements >5 years
19
Core Capabilities ES requires new capabilities to be enabled for Supply Chain Operations in the S/4 HANA platform. The additional capabilities will complement the existing core system to deliver the ES vision of transparent and flexible digital manufacturing set-up, augmented with predictive and simulation capabilities. To deliver this, we leverage many of our core Supply Chain and SAP S4 HANA capabilities which include: •
Road Map Creation
•
ERP Project Management
•
Data Strategy and Migration
•
ERP Infrastructure
•
Process Design and Build
•
App Development
•
Experience Design and Management
•
Testing and Deployment
•
Operate and Run Services
•
Innovation through Deloitte Re-Imagine Platforms
WORK PACKAGE RESPONSE
WP6_SCM Supply Chain Management Solution (ERP S4 HANA) Design & Implementation (Continued…)
Owning the entire lifecycle of the battery manufacturing process necessitates the extension of your existing ERP solution. However, it also provides a unique opportunity to take an enterprisewide approach to leveraging the full scope of its capabilities, taking advantage of new features and modernising core processes ERP Integration
30+
Years of relationship with SAP
#1
Deloitte now ranks as SAP’s top revenue influencer globally
150+ Awards over 7 years Internationally
Integration Strategy Advisory We help to develop and implement an Integration Strategy, from the definition of the vision and reference architecture, to software selection, integration design principles and development best practices. SAP PI/PO and CPI (Cloud Platform Integration) We integrate SAP and non-SAP applications, on-premise and in the cloud, by applying creative design thinking and identifying opportunities to optimise processes and infuse intelligence into interface design. Upgrades and Migration We assess current integration landscapes and technology trends, to define and deliver Integration platform upgrades and migrations, maximising process efficiency and minimising business disruption
25,000+ SAP Practitioners Globally
700+z SAP Focused FTEs in SEA
25 SAP Pre-configured/ Industry solutions
20+ Engagements >5 years
20
Delivery Centres Pre-Configured Digital Thread Solution integrating Siemens PLM and DMES with S/4 HANA Leading Best Practices Solution (DLEAPS) The SAP API Vault is a library of assets created by Deloitte containing 80+ pre-built APIs across numerous integration platforms (including Mulesoft, and SAP CPI) for 17 common business functional areas. Enabling accelerated delivery and time to value, the vault consists of: •
APIs implemented with minimal customisation for standard processes
•
Providing a top-down view of all APIs currently implemented
IndustryPrint is Deloitte's business process modelling method, tool, and collection of cross-functional business process designs, as a starting point for Solution Design and Transformation.
WORK PACKAGE RESPONSE
WP6 Digital Supply Network – Deloitte’s approach to transforming the Supply Chain Energy Storage is an opportunity to evolve to a Digital Supply Network for the whole of Dyson and not just the Energy Storage business. Enabling operational performance breakthroughs as digital supply networks enable supply network visibility — and unprecedented insights.c Our Point of View on the End to End Supply Chain Network` To build a Digital Core, digital information needs to flow across three core supply chain platforms - PLM, ERP and MES. • PLM is the upstream platform for product information • ERP (S4 HANA) plans and orchestrates the supply chain, and • MES executes the production plan To be intelligent, this Digital Core needs to be powered by advanced analytics and Digital Twins models of the supply chain that • sense the status of the end to end supply chain and provide visibility of what is happening • use AI & ML to provide predictive insights and recommendations on how to optimise the supply chain • allow users to run what-if simulations to evaluate alternative courses of action and how to best respond to events • provides the ability to automatically adjust the supply chain in real-time without the need for operator intervention Today, these capabilities are not well integrated and information does not flow effectively across the Digital Supply Chain Network leading to a lack of trusted data and visibility for making decisions.
Dysons’ end to end supply chain includes all the steps from developing products through to planning, sourcing, making, delivering and supporting Dyson’s customers and their products. Traditional linear supply chains are needing to adapt to become increasingly flexible as technology drives the ability to make fact-based decisions, helping companies to gain strategic advantage over their competitors. A Digital Supply Network (DSN) is an integrated set of digitally enabled supply chain capabilities powered by an interconnected flow of information, as shown on the left. At the centre of a DSN is a Digital Core that simultaneously orchestrates six different supply chain capabilities. Digital supply chain management now includes gathering insights from distributed data, sensors, and connected assets to drive actionable improvements via advanced analytical and digital solutions. 21
Our Energy Storage architecture proposes to integrate these platforms to create a Digital Core that provides a foundation for a Digital Supply Network for the whole of Dyson and not just the Energy Storage business. Our design for the ES Digital Twin Platform provides a scalable and extensible enterprise capability upon which teams can efficiently build, train and run evermore sophisticated models of the end to end supply chain and not be limited to digital twins of the ES manufacturing processes and battery. We will lay these foundations using DLEAPS, our leading practices and pre-configured digital thread solution which integrates Siemens PLM and DMES with S/4 HANA, to create end to end business processes and data models that are extensible.
WORK PACKAGE RESPONSE
WP7 _DTP Digital Twin Platform Design & Implementation Deloitte has a strong record of implementing value-driven Digital Twins, balancing iterative, fastto-value delivery with thoughtfully architected, future-proof designs. We support and encourage clients to develop the associated business capabilities to sustain and extend functionality, driving continuous improvement of operational performance Our POV
5000+
Integration Services practitioners globally
20
We operate globally across 20 countries and 12 regional Delivery Centres
100+ digital factory projects driving over $300M in value for our clients in last 12 months
Digital Twin can be a transformational capability for Dyson extending far beyond the ES Programme, but there are fundamental risks/opportunities to manage: Capability and Talent •
ES Programme can lead the way, developing transformational Digital Twin/ Smart Factory capability that benefits the entire organisation
•
The data science and machine learning space is a sellers’ market in which the best talent have multiple options; what is Dyson’s unique value proposition?
Build vs Buy •
Off-the-shelf solutions do not offer the functionality, scalability and extensibility needed by Dyson, and risk long-term vendor lock-in
•
Integrating best-in-class components into an open hyper-scale platform provides Dyson the best fit today and future proofing for tomorrow
Agile vs Waterfall •
An Agile, value-driven approach to model development will build capability at the correct pace for the programme
•
Investment in ML Ops and managing dependencies to other workstreams will bridge the gap from insight to capability
Visualisation
z
•
Great visualisation is compelling but not always the shortest path to business value
•
Dyson should build with visualisation in mind but not make this the driving factor in technology selection`
Our Understanding Working side-by-side with Dyson colleagues in IT and RDD Deloitte have built a detailed understanding of what how Digital Twin will (and won’t) add value for Dyson. You need a capability that will evolve at the pace of the programme. In the first instance this means an Agile capability enabling you to build robust models to support and accelerate process development. As the programme matures and as manufacturing equipment starts to come online these models should be increasingly end-to-end encompassing the entire production process and, as you move into pilot phase, monitoring the Physical Twin. As confidence builds, these models should be matured to provide recommendations/ forecasts, what-if modelling and ultimately, once sufficient confidence is established in the output, control of the Physical Twin. Realising this vision will require integration with a wide landscape of systems such as ERP, MES, PLM, Historians, User Interfaces, etc; deployment of a hybrid on-premise/off-premise system to meet data transfer, historical/analytics and round-trip requirements; intermittency resilience; and critically iterative and progressive delivery of value/capability in-line with wider programme milestones. 22
WORK PACKAGE RESPONSE
WP7 _DTP Digital Twin Platform Design & Implementation (Continued...) Deloitte has a strong record of implementing value-driven Digital Twins, balancing iterative, fastto-value delivery with thoughtfully architected, future-proof designs. We support and encourage clients to develop the associated business capabilities to sustain and extend functionality, driving continuous improvement of operational performance Core Capabilities
5000+
Integration Services practitioners globally
Deloitte is fully aligned to Dyson’s approach to iteratively deliver business value and capability, in-line with programme milestones, while building a strong foundation to accelerate future work. Deloitte has the deep understanding and expertise to deliver Dyson’s vision and the underlying cross-system, cross-technology capabilities.
20
We operate globally across 20 countries and 12 regional Delivery Centres
100+ digital factory projects driving over $300M in value for our clients in last 12 months
We deliver with Agile at our core, but flex where required to integrate with traditional development modes. A dedicated Digital Twin and Simulation team based in the UK who have delivered >100 successful projects (and counting) globally. Deep understanding of both Digital Twin and Smart Factory, and how they combine to increase manufacturing performance and efficiency. Extensive experience designing, building and running solutions developed by our key alliance partners including the global leaders in this space. A truly global delivery team offering Deloitte quality at an effective cost point.
Assets and Accelerators Deloitte battle-tested assets include:
z
Smart Factory Fabric– Deloitte’s smart factory control tower capability and assets Google Design Patterns – Deloitte’s alliance with google provides us access to their best practice solution designs/technology Analytics Digital Accelerator – Deloitte’s rapidly deployable high-volume data and analytics visualisation platform Analytics Foundry – Flexible solution to augment delivery capacity Relevant implementation experience: Name
Description
German Automotive Manufacturing
Manufacturing control tower with integrated predictive maintenance of the full automotive production line
Danish Global Scale Logistics
Digital twin creation to support optimised real-time decision making (what if scenarios) and enable operation analytics
Multinational bottling company
Smart Factory control tower with integrated predictive maintenance of the production line
Processed Foods Manufacturer
Smart Factory with IoT Platform integrated with PLC/SCADA of connected equipment and sensors
National Rail Company
Created a real-life quality 3-D rendered virtual environment to enable fully interactive signal box training.
OnSite AI (GCP)
Analytics platform to optimize underwriting risk-selection models using structured & unstructured data to generate actionable insights
Partners and Alliances Deloitte has direct experience in smart factory operations combined with a broad crosssector experience in both the design and delivery of digital twins and the required supporting architecture. We have a global network of SMEs and technology partnerships. This enables us to always deliver a best-in-class solution and rapidly innovate as required. Industry Solutions Partner of the Year
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Industry Solutions Partner of the Year
WORK PACKAGE RESPONSE
WP7 _DTP Digital Twin Platform Design & Implementation Vendor solutions and components should be selected based on full consideration of end-state capability required to enable the full range of business use cases, and the constraints and requirements these use cases impose upon performance of individual solution components and their respective interactions 2
Digital Twin Gateway Data intensive gateway and computation service providing multi-method ingestion and integration; multi-component output standardization and data models for downstream services. Key Capabilities: 1. Ingestion and transformation of external raw data into DTP e.g. binary data from sensors according to respective protocols 2. Exporting control commands from Controller, or simulation outputs directly from DT models
1
Data Integration System to intelligently control incoming data at scale including selection/ filtering. Key Capabilities: 1. Intelligent selection of incoming data for downstream services in order to manage compute and storage effectively 2. Streaming data processing to ensure ingested/ selected data are processed by downstream services and stored appropriately
2
Data Models Ability to enrich ingested data with contextual information, e.g. providing location information to temperature telemetry. Key Capabilities: 1. General set of standards for data sources and clear set of rules governing data types and storage methods
3
Data Storage Contextualised data is stored, with extremely high writespeed requirements. Key Capabilities: 1. Save upstream data at high write speeds and store historical data 2. Container registry for DT models; simulation outputs 3. Maintain up-to-date representation of state of physical twin
11
7
Insight UI Graphical visualizations (2D/3D) enable visual representations of processes/ assets and provide information about current status plus insights resulting from DT models. Key Capabilities: 1. Real-time monitoring of physical twin 2. Near real-time recommendations/ predictions/ forecasts from DTP with output based on physical twin data saved in Storage (+ possibly previous simulation data)
8
Control UI Interaction UI layer enabling users to run DT models and send control parameters to physical twin. Key Capabilities: 1.
Request simulation with/ without user inputs and display results (2D/3D) in UI
Digital Twin Models
2.
Request control of the physical twin
Enable deployment of self-contained DT model units. Support is required for general purpose analytics/ ML/ AI tooling and specialist software such as Matlab.
3.
Connectivity to back-end and control loop feedback
Key Capabilities:
9
Trigger Control DTP to handle multiple types of requests from users Key Capabilities: 1. Trigger DTP to run computation (recommendation/ prediction/ forecast) in a regular schedule 2. Trigger DTP to run simulation based on user's request 3. Send notifications/ alerts to users 4. Send control to physical twin
5
Governor/ Controller Key Capabilities 1. Ability to drive the requested state in the facility 2. Ensure requested state is within sensible engineering limit
1. Frequent computation of model output values to be interpreted as recommendations/ predictions/ forecasts in UI, based on batch data 2. Ad-hoc simulations with/ without user input parameters Hybrid On-Prem/ On-Cloud Solution Hybrid solution optimized for latency, security and cost effectiveness Key Capabilities: 1. Low-latency, secure on-prem option; scale/ cost benefits of Cloud 2. Synchronisation and interoperability across the DTP
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WORK PACKAGE RESPONSE
WP8_Integration (IT-OT, Data & Application) We understand that you need an integration partner who understands the nuanced difference in approach required to integrate enterprise systems versus the integration of smart manufacturing equipment with those enterprise systems. We bring a wealth of expertise and experience in doing just that
20+
Years of experience in providing full life cycle Application Management Services
50+
IoT ecosystem partners
Shopfloor Integration Deloitte are leaders in Smart Manufacturing and bring a unique perspective on building a secure and scalable platform that seamlessly connects the OT and IT systems to enable the ES Factory of the future. Our manufacturing integration approach would include: •
Designing and implementing a flexible manufacturing gateway to translate a variety of different software communication protocols used by OT and IT systems such as OPC, MQTT, Modbus and act as a message broker enabling data to be routed between systems in real-time in flexible, scalable, reliable, and secure way
•
Design and implement an Operation Data Fabric at level 3 enabling short term history buffering for operational needs, a store and forward mechanism for the Digital Twin platform considerations and edge computing as required
#1
Deloitte has been MuleSoft Partner of the year for 7 of the last 8 years
5000+
z Integration Services practitioners globally
20
We operate globally across 20 countries and 12 regional Delivery Centres
Enterprise Integration Deloitte has a wealth of experience and long history of working with SAP and Siemens solutions to ensure that the PLM (Siemens Teamcenter) and ERP (S4 Hana) solutions “dance” together to meet ES programme need and implement a digital thread. Our integration approach will include: •
Designing and implementing an integrated PLM-ERP environment for boosting process efficiency and productivity
•
Designing a connected ecosystem of PLM, ERP and MES using Deloitte’s industry-specific experience, focused know-how and rapid capabilities for getting maximum value from that ecosystem
•
25
Designing integration services that support both cloud to cloud and cloud to on-prem requirements giving you flexibility about what cloud providers you use and support for multi-cloud landscapes e.g. SAP RISE, GCP, MS Azure and SaaS solutions etc
Deloitte is experienced in integrating with existing and new IT systems in order to enable a Digital Twin and simulation capability for the ES programme by implementing: API Connectivity We have experience in implementing an API Connectivity Approach to address complex and interwoven connectivity needs. Agility and flexibility can come from a multi-tier architecture containing three distinct layers. This approach can seamlessly connect systems including BMS, PLM, MES, LIMS, ERP, etc). Integration Standards/patterns We can implement Publish-Subscribe integration patterns for Asynchronous communications. For instance as Shopfloor data is transferred to Digital Twin. Re-usability and Scalability API-led integration allows for re-usability at each layer and increasing scalability. This will be particularly useful when looking to scale the Digital Twin platform. Security and Governance We have experience using out-of-the-box, tried and tested security and governance tools (TLS/SSL) and monitoring capability.
WORK PACKAGE RESPONSE
WP8_Integration (IT-OT, Data & Application) (Continued…) We understand that you need an integration partner who understands the nuanced difference in approach required to integrate enterprise systems versus the integration of smart manufacturing equipment with those enterprise systems. We bring a wealth of expertise and experience in doing just that
20+
Years of experience in providing full life cycle Application Management Services
50+
IoT ecosystem partners
#1
Deloitte has been MuleSoft Partner of the year for 7 of the last 8 years
5000+
z Integration Services practitioners globally
20
We operate globally across 20 countries and 12 regional Delivery Centres
Assets and Accelerators Our Global Tools and Accelerators include: •
MuleSoft Foundations Delivery Accelerators
•
Integration Reference Architectures
•
Digital Banking Playbook
•
API Best Practices & Anti-patterns
•
MuleSoft process accelerators
API Vault Deloitte’s proprietary cloud integration vault contains a library of APIs hosted on the MuleSoft Exchange and Community; business users can explore and re-use MuleSoft integration capabilities using this vault for application integrations and digital assets (e.g. IoT, RPA, chat bots, etc) Pre-built common services framework Deloitte created a MuleSoft common services framework that accelerates integration development by bringing in pre-built modules for exception handling, audit, logging, ticketing and notification services used for API common services set up. Integration Center of Excellence Deloitte’s Integration center of excellence (iCoE) can enable you to set up a centralised body of knowledge to standardise and govern the enterprise operating model.
Vendors and Alliances Deloitte has been MuleSoft Global Partner of the Year for 7 of the last 8 years (2015-17, 2019-22). We have alliances with the following integration technologies, which includes early access to products and features:
Amazon Web Services (Premier Business Partner, 100+ practitioners) MuleSoft (Global Partner, 800+ practitioners) Informatica (Global Partner, 1600 practitioners) Oracle (Premier Business Partner, 300+ practitioners) Google Cloud Platform (Premier Business Partner, 4800 practitioners) SAP (Global Service Partner, 3500 CPI practitioners) IBM (Platinum Business Partner, 3000 practitioners) Boomi (Global Partner of the Year 2019-2021, 600 practitioners) Kafka (Premier Business Partner, 100+ practitioners)
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WORK PACKAGE RESPONSE
WP9_PMO, Change Management and Value Management One of the key challenges for the T&DS programme will be the coordination and orchestration of a complex vendor landscape and a multi-party delivery team. Deloitte bring deep expertise in programme management of large-scale technology transformation, integrating the delivery landscape, and driving value realisation Our PMO Capability We are market leaders in business transformation & bring a wealth of assets and accelerators
150,000 Global SMEs specialising in largescale programme delivery
Global tools and methodologies ensuring quality and consistency
z Prince 2, Scrum Master, PMP, SAFE Certified
We have significant experience in the consumer sector and with Dyson
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Our PMO capability is designed to help you navigate the complexity of transformational business and technology change. We will leverage and tailor our approach to PMO to ensure success. Our approach outlines 3 key areas: 1. Shape: bringing the transformation to life by governing & prioritising activities, shaping the roadmap, designing and scoping initiatives, and engaging the right teams 2. Orchestrate: Defines how the work gets done and steers initiatives through to value realisation by: leading transformation investments, ensuring the right capabilities are in place, and helping prioritisation 3. Measure & Manage: tracking the benefit case, establishing and reporting key metrics, managing funding, removing threats to value realisation Key to the success of T&DS will be ensuring that integrated progrmame planning and dependency management is tightly executed across workstreams and vendors. This also applies at the ES Programme level – success will depend on tight communication and planning between Product, Facilities and T&DS.
Value Management We understand the importance of the strategic decision Dyson have made to invest in battery technology, and recognise that driving and realising value is key. Our approach to Value Management: •
Define the business case: we will help you develop the business case and quantify the IT benefits and demonstrate the value of IT to the Business
•
Tracking Value Realisation: Using the baselined business case metrics, we will track the realisation of value throughout delivery and operate
•
Bringing best practice financial models tailored and developed by our financial modelling specialists. Utilising analytics and visualisations to provide P&L, CF and BS insights throughout the project
•
Programme Assurance: we will leverage standardised, point-in-time, project health-checks to provide programme assurance and detailed overview of current programme performance
WORK PACKAGE RESPONSE
WP9_PMO, Change Management and Value Management (Continued…) One of the key challenges for the T&DS programme will be the coordination and orchestration of a complex vendor landscape and a multi-party delivery team. Deloitte bring deep expertise in programme management of large-scale technology transformation, integrating the delivery landscape, and driving value realisation Integrating 3rd Parties We are market leaders in business transformation & bring a wealth of assets and accelerators
150,000 Global SMEs specialising in largescale programme delivery
Global tools and methodologies ensuring quality and consistency
z Prince 2, Scrum Master, PMP, SAFE Certified
We have significant experience in the consumer sector and with Dyson
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We understand that delivering the right technology solution(s) to underpin the ES Business will require many vendors and delivery partners to make it a success. This will require rigorous management and orchestration to ensure that, in T&DS, we work as one team to deliver on the requirements of the ES Programme. Deloitte’s PMO capability brings: •
Vendor Governance: we will establish a clear governance structure to ensure accountability across the team and clear routes of escalation
•
Delivery Approach: we will establish integrated ways of working, and alignment on delivery approach
•
Delivery KPI Framework: we will establish a KPI framework, based on the terms of vendor agreements, to track and monitor performance
•
Quality Assurance: Deloitte will collaborate closely with Dyson stakeholders to carry out quality assurance on vendor deliverables. We will leverage our experience of best practice and what good looks like to ensure quality
•
Financial management: we will track and manage vendor expenditure against the vendor contract and the budget of T&DS
Building Dyson Capability We know how important it is that Dyson are able to build capability in parallel to delivery. This will set the organisation up for success when embedding the technology and evolving it as part of BAU. •
Identifying gaps: we will work with Dyson to identify and address capability gaps, enhance existing skill-bases and execute a knowledge transfer to other teams and programmes
•
Define training strategy & requirements: understand the gaps and use this to inform the training required for both business and transformation roles
•
Upskill through the programme: . Fundamental to our approach will be structured coaching and knowledge transfer from Deloitte to the Dyson team
•
As you build capability we will reduce our footprint:
WORK PACKAGE RESPONSE
WP9_PMO, Change Management and Value Management (Continued…) One of the key challenges for the T&DS programme will be the coordination and orchestration of a complex vendor landscape and a multi-party delivery team. Deloitte bring deep expertise in programme management of large-scale technology transformation, integrating the delivery landscape, and driving value realisation Change Management & User Adoption We are market leaders in business transformation & bring a wealth of assets and accelerators
150,000 Global SMEs specialising in largescale programme delivery
Global tools and methodologies ensuring quality and consistency
z Prince 2, Scrum Master, PMP, SAFE Certified
We have significant experience in the consumer sector and with Dyson
29
We know from experience that standing up a brand new organisation is complex. The ES Business will require new people, new tools, new processes, and new ways of working. We will provide a central team to coordinate this effort – a team to mange onboarding and learning, and to ensure that new technologies are leveraged for success: Document vision and ensure leadership alignment Taking a Human centred approach, building on the work already done to define personas and user journeys Assess business readiness and impact themes
LEVERAGING INDUSTRIAL ENTERPRISE TOOLING
Ensure end user adoption and capability development through a well structured learning programme Bring the future to life through engagement sessions that leverage influencers and leaders Create a compelling narrative and communication strategy Focus on data, to ensure we are measuring the success and outcomes
Delivery Method
30
DELIVERY METHOD
Indicative Delivery Plan We propose a hybrid delivery approach. We will leverage Agile and DevOps practices to provide rapid, iterative development, and early visibility of the solution, across end-user systems and integration. For the Infrastructure workstream, a waterfall model is appropriate. 2023 J
A
ALPHA will commence in HLD and continue throughout Detailed Design. Delivering early value through accelerated model development, cloud platform delivery, and reducing technical debt inherent in early digital twin modelling
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MVP E2E Testing ALPHA Build 1
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BAT & Operate
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Human-in-theloop control SCADA Integration with Historian & Manufacturing Equipment
SCADA Requirements
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Historian Build
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LIMS Build LIMS Reqs
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MES MVP Build MES Backlog Build
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Formulation
Supply Chain
Integration
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As soon as the Network is established in plant, the core infrastructure can be Programme implemented with connectivity to cloud, Management and required on premise infrastructure provisioned
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Sprint X | Integration Cont. Development
The integration workstream will deliver the MVP integrations required to enable E2E testing, and continue to work on IT / OT integrations in parallel with the Manufacturing Operations workstream
Infra & Environment Build DR Solution Build (plant/infra/app, and public cloud/app)
Cloud Connectivity
Once the MVP has been deployed to production, delivery teams will continue to develop the solution – building additional features and finetuning the models
MVP
SAP MVP Build SAP Backlog Build
Ongoing Coordination & Orchestration of T&DS (Programme Mgmt., Financial Mgmt., Governance, Reporting)
Business Case Definition
Value Realisation Tracking
Op Model, Change Mgmt & User Adoption Approach
Sprint X
31
M
Detailed Design
0
We will prioritise the build of the Formulation module in order to release early value and support inflight RDD activities. This will allow the RDD to do it right the first time and produce a structured dataset. All other PLM functionality is dependent on Manufacturing processes being set up
D
MVP
Orchestration of multi-vendor delivery landscape
Digital Twin
The delivery of the Manufacturing Operations workstream is dependent upon the ability to integrate with the equipment and physical assets in the facility. The delivery plan will be dependent upon the equipment spec and the equipment installation plan
2024
We have aligned our delivery plan to the Engineering Release (ER) programme milestone 2025 driven by the Product workstream. By this point, J F TD&S need to have a tested end-to-end Minimum Viable Product (MVP) ready for release
Op Model, Change Mgmt & User Adoption Implementation
Indicative 2-week sprints
Milestones
Agile Iterative build
Additional Services
32
ADDITIONAL SERVICES
Halo Services Additional Services that are not highlighted in the RFI but should be considered and / included in the ES Programme
Core T&DS services
Digital Twin Modelling The ‘smart’ in smart factory
ES Operating Model Building the right organisation
Enterprise Business Process Modelling Building the right organisation
Whilst a significant proportion of Digital Twin modelling can and should be undertaken in-house to leverage expertise of internal teams (RDD), there are some use cases (e.g. predictive maintenance) where vendor solutions will potentially reduce time and effort vs. in-house development.
The T&DS workstream is heavily dependent upon the definition of the ES Business Operating Model. To ensure successful go live on day 1, you will need to ensure the ES Programme clearly outlines and has plans against each of the following areas (additional to those already discussed in this RFI), to ensure continued success: • ES Leadership & Programme Team - Clearly define the roles and responsibilities of the ES Programme Leadership and wider team to ensure accountability and drive sponsorship • Partner with Dyson stakeholders work with the different areas within Dyson to define how ES will partner with them in the future. Also create a stakeholder map and ensure the right touch points are happening on the future design • Skills and Recruitment – Define the workforce strategy to source/build the skills required for the future ES Op Model • Sourcing & Ecosystem - Define the ecosystem that will be required, agreeing the third parties you will work with
We recommend leveraging tools such as Signavio in order to baseline enterprise business processes and enable continuous improvement. The ES programme provides the perfect opportunity to establish a solution that can be rolled out firm-wide. This will enable the removal of process ambiguity and the creation of a ‘golden source’ of process logic which enables process improvement by highlighting inconsistent or duplicative processes, allows for expedited knowledge transfer, reducing key person risk and builds common understanding between cross-functional areas. BPM can also show how external providers interact with a business process, thereby identifying where SLAs may be needed. Ultimately, tools like Signavio will allow you to model, analyse, optimise and execute business processes and decisions.
Additionally, there are off-the-shelf assets such as Deloitte EventFlow that would act as general accelerators across a range of use cases
33
Our Global SMEs
34
OUR GLOBAL SMES
Our Global SMEs As you go on your journey it is important to have the right team at the right time. To provide an experienced, robust, yet appropriately sized team, Deloitte provides access to a range of SMEs. They know what good looks like, they know CPG, they know their functional areas – and, as well as providing their SME input, we will be able to use them to validate and QA our work as we go. Dan McMillan Engagement Partner
WP2_MOT
WP3_MOT WP4_MOT
Ben Cosker Infrastructure & Networks SME
Luciano Lo Tito MES SME
Andrew Garrood LIMS SME
Wil Rockall IT / OT Security
Bindi Bhatt MES & SCADA SME
Rob Hayes IT / OT Security
Mykhaylo Khrystenko Iinfrastrcutre SME
WP1_INF
WP5_PLM
WP6_SCM
WP7_DTP
WP8_INT
Rob Dickson SCADA SME
Anand Blaji Sundararaman PLM SME
Shivpriye SAP Lead SEA
James Springham Digital Twin SME
Akhil Chandak Integration SME
Katie Hopkins PMO & Delivery SME
Rameez Abdul Basheer LIMS SME
Bikir Sigfusson SCADA SME
Stacy Dyer Product Development SME
Anukur De Supply Chain Management SME
James Parkin Digital Twin SME
Alastair Parry Integration SME
Sam Aling Op Model, Change Management & User Adoption
Priyanka Rao MES & PLM SME
Mikel Cislo LIMS SME
Jón Bjarni Magnússon SCADA SME
Nitin Chandnani PLM SME
Michael Parkyn SAP SME
Fu, Dong Cloud & Data Engineering
Aakash Tyagi Integration & IT / OT SME
Sarah Morrow Op Model, Change Management & User Adoption
Sandeep Kumar Mishra MES & Historian SME
Vinod Nela LIMS SME
Atul Pande SCADA, MES, ERP, PLM And IOT SME
Kunal Gupta Product Development SME
Rajareddy Allu SAP SME
Clement Shi Qi Ong Cloud & Data Engineering
Harsh Kumar Integration SME
Tery Chua Business Transformation SME
Sandeep Varma PLM SME
Surjeet Singh SAP Integration SME
Lay Phin Phin AI & Data
Samiksha Juneja Integration & IT / OT SME
Diana Kho Business Transformation & Comms SME
Renaud Dauchel DTP SME
Sriram Venkat Integration & IT / OT SME
Phoebe Lum Op Model & Agile Coach SME
Nathan Jacobs DTP SME
Saikat Sen Gupta Integration & IT / OT SME
Phoebe Lum Op Model & Change Management SME
(MES & Historian)
Benny Huja Iinfrastrcutre SME
Architecture
(LIMS)
(SCADA)
Kirti Jindal LIMS SME
WP9_PMO
Battery Technology SMEs
Paul Johnson Chief Architect
Andy Zhou EV Battery SME
Chris Cheng Lin EV Battery SME
Seong Jin Lee EV Battery SME
Sarah Noble EV Battery, Smart Factory and Supply Chain Mgmt. SME
Rahul Paranjape Architect
Jeff Jia Wen Mou EV Battery SME
Goishihara Taiji EV Battery SME
Vishwas Kashyap EV Battery SME
Harald Proff EV Battery SME
35
Nysia Sewell Delivery Partner
Carrie Grimes Battery & Energy SME
David Grupe EV Battery SME
Our Smart Factory Network & Alliances
36
OUR SMART FACTORY NETWORK & ALLIANCES
Scaled smart manufacturing across global networks
The Smart Factory @ Kyoto facility was developed in partnership with the Kyoto University of Advanced Science. Visitors can experience next-generation smart manufacturing solutions brought to life in the showcase area and then workshop use cases and strategies to help their own facilities evolve in the innovation area. Explore The Smart Factory @ Kyoto
USA
JAPAN
Deloitte’s interconnected network of experience centres helps visitors get hands-on with their digital transformation efforts and see them come to life. Our global Smart Factories in the United States, Japan, Germany and Canada feature assets that visitors can leverage locally and as a network to tailor unique smart manufacturing use cases. Powered by industry-leading ecosystem partners, we blend the physical with the virtual to help you design and test the possible.
The Smart Factory @ Wichita is a 60,000-square-foot smart building, powered by a renewable energy smart grid. The facility features an end-to-end smart production line, space for ecosystem sponsors, and experiential labs. Located on Wichita State University’s Innovation Campus, the facility helps visitors explore smart manufacturing technologies to drive down costs, increase supply chain efficiencies, and position their organizations for success.
CANADA
GERMANY
Explore The Smart Factory @ Wichita
The Smart Factory @ Düsseldorf provides a flexible environment for innovative workshops and training. We demonstrate realtime business and operational performance benefits of connecting smart technologies, such as manufacturing execution systems, enterprise resource planning, and product life cycle management, inspiring companies to start their own digital transformation.
The Smart Factory @ Montreal is a state-of-the-art immersive learning centre featuring cutting-edge manufacturing and warehousing technologies. Visitors will experience an immersive, fully functional space with simulations, demos, and art-of-thepossible workshops to help them chart their own digital industrial transformation journeys to increase their profitability, safety, and success.
Explore The Smart Factory @ Dusseldorf
Explore The Smart Factory @ Montreal
Global Alliances & Partnerships With more than 85 partners in place, both big and boutique, we’re orchestrating the most expansive business ecosystem of alliance relationships to help you solve your most complex challenges. By combining leading technology with our time-tested business acumen and strong industry relationships, we provide complete, scalable solutions to support you in realising your smart factory vision 37
OUR SMART FACTORY NETWORK & ALLIANCES
Deloitte’s approach to transforming manufacturing with Google Cloud Deloitte and Google Cloud are holistically transforming manufacturing with new technologies in the rapidly changing, increasingly complex, global marketplace
Use Case example – Digital Transformation Augmented Reality (AR) AR overlays digitally created content into the real environment of the user. Application possibilities spread over many areas in the industrial environment. Combining product information with AR wearables such as Google Glass enables hands-free visualisation of the assembly workflow for highly specific products in manufacturing options It enhances real world objects by computerised information for instance pick-by-vision. Overlaying a digital marker on a real world image to indicate where to pick next Use Case example – Digital Transformation Manufacturing Data Engine The foundational Google Cloud solution to process, contextualise, and store factory data. The cloud platform can acquire data from any type of machine, supporting a wide range of data, from telemetry to image data, via a private, secure, and low-cost connection between edge and cloud With built-in data normalisation and context-enrichment capabilities, it provides a common data model, with a factory-optimised data lake house for storage Use Case example – Digital Transformation Quality Visual Inspection Quality defects are identified more effectively by pixel-based matching and MES-data supported real-time analyses of assembly lines Deviations and errors as well as complex deviations to different configurations can be detected by AI and replace manual visual inspection Based on machine learning/AI much more reliable object recognition is feasible. Continuous codeless training of the model improves the results continuously Use Case example – Digital Transformation Manufacturing Connect The Google Cloud factory edge platform co-developed with Litmus Automation that quickly connects with nearly any manufacturing asset via an extensive library of 250+ machine protocols. It translates machine data into a digestible dataset and sends it to the Manufacturing Data Engine for processing, contextualisation, and storage By supporting containerised workloads, it allows manufacturers to run low-latency data visualisations, analytics and ML capabilities directly on the edge 38
OUR SMART FACTORY NETWORK & ALLIANCES
Partnership Awards
We bring the #1 implementation practice. Delivering successful, innovation-led business transformations globally.
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Our Experience
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OUR EXPERIENCE
Quals Matrix (1/2) Key 1
2
WP1 WP2 Infrastructure, MOT Network & MES, Historian Security
3
4
5
WP3 MOT LIMS
WP4 MOT SCADA
WP5 PLM
6
7
WP6 WP7 Supply Chain Digital Twin Management Platform
8
9
WP8 WP9 Integration PMO, Change Mgmt., Value Mgmt.
Our experience successfully delivering complex technology implementations and transformations across each work package are highlighted below. This includes where we have previously worked with Dyson to deliver digital change Industry
Description of Services
Impact Delivered
Food Manufacturer
The client wanted to create a connected production facility, starting with an IT4OT and OT operating model including a series of Smart Factory (SF) pilots. Deloitte assisted the client with developing and implementing digital solutions and drove the value to be scaled to their global production network.
The team designed and configured an AWS IoT platform integrated to Inductive Automation's Ignition SCADA to capture real time data from the PLCs of connected equipment and sensors that enabled the team to codevelop features and dashboards to both visualise operational KPIs and provide insights to the production process.
1
2
4
Global Automotive Manufacturer
IIoT Application Enablement Platform Development – aiming to reduce operational costs and develop innovative solutions. Looking to drive capability and maturity through a platform that provides enterprise-level insights with plant-level controls and is easily scalable to multiple plants, devices and use cases.
Deloitte worked with the client’s IT and manufacturing functions to develop and implement an IIoT Application Platform that allowed the client to deliver operational efficiencies at scale. Opportunities and use cases were assessed for business value potential and prioritised for implementation. The platform was deployed to ingest and analyse real-time machine data from production lines.
1
7
8
Global Aircraft Manufacturer
The client, a global aircraft manufacturer, sought to transform its production operations for its single-aisle commercial airliner program and build a “Factory of the Future” (FoF) that would employ advanced technologies and systems to drive step-function improvements in operating performance.
Project is expected to generate measurable benefits, including improved material availability, lower inventory levels, higher capacity utilization and faster incident response time. A 10 – 15% reduction in total manufacturing span is anticipated. Furthermore, with Deloitte as trusted advisor, the client is prepared to take concrete next steps toward its FoF vision.
1
7
Metal and Mining Company
Client is operating its ore extraction and processing units using SCADA solutions. Client wanted to conduct a Cyber security review for IT infrastructure and Plant Technical System (PTS) /Industrial Control System (ICS) / OT based on the identified controls.
Review of the IT Risk Assessment and Information Security Procedures, Cyber Security Measures and IT & PTS Architecture. Cyber Security controls review for IT infrastructure and Plant Technical System (PTS) /Industrial Control System (ICS) / OT based on the identified controls matrix. Remediation Testing against the additional controls implemented based on the recommendations
1
4
Electronics Component Manufacturer
Using Digital Manufacturing to move up the value chain from commodity to platform manufacturer. The selected software included an integrated set of Siemens solutions for PLM (Teamcentre), Application Lifecycle Management and Manufacturing Execution. Deployment plan was identified and executed which helped define a global template, which was quickly deployed for a pilot plant which helped showcase the ROI
Global deployment of integrated product development and manufacturing process templates were executed, focusing on capturing value and accelerating downstream deployment. This allowed increased integration and enhanced capabilities driving efficiency and operational agility to achieve $100m+ recurring P&L benefit. This integrated, enterprise-wide platform enabled digital innovation and competitiveness.
2
5
8
Aluminium Extruder
After growing through acquisition, they aspired to implement MES in parallel with a post-acquisition ERP standardization project across sites. Built transformation roadmap, business case, and program team structure for board approval. Launched cross functional design team and designed a common future state process model.
Clearly executable roadmap and timeline to achieve transformation across 5 plants and 1500 users. Drove process harmonization through regional design process, yielding alignment on common process model with 84% of user stories fulfilled by OOTB / low configuration functionality in the selected MES platform. Enabled end-to-end visibility & traceability for production orders from metal receiving to shipping
2
6
8
9
MedTech Manufacturer
MES Implementation, required to replace legacy paperbased device history records (DHRs) with electronic DHRs to enable their digital transformation. The MES Systems Integration included SAP S4/HANA going live at the same time, a material handling and control system, product labelling system, document control system and data collection and automation (Historian / SCADA).
We designed the global solution, applied it to product lines, aligned and co-ordinated site releases then released to the factory floor. Due to the simultaneous go-live of the MES system and SAP S4/HANA we emphasised strategic product line segmentation and prioritisation to de-risk the MES effort and minimise impact. The new MES allowed our client to interact with eDHRs, providing full searchability and traceability
2
4
6
8
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WPs Addressed
7
OUR EXPERIENCE
Quals Matrix (2/2) Key 1
2
WP1 WP2 Infrastructure, MOT Network & MES, Historian Security
3
4
5
WP3 MOT LIMS
WP4 MOT SCADA
WP5 PLM
6
7
WP6 WP7 Supply Chain Digital Twin Management Platform
8
9
WP8 WP9 Integration PMO, Change Mgmt., Value Mgmt.
Our experience successfully delivering complex technology implementations and transformations across each work package are highlighted below. This includes where we have previously worked with Dyson to deliver digital change Industry
Description of Services
Impact Delivered
WPs Addressed
Quality Division of a Global Biopharma Company
Issues with quality of information entered manually into LIMS environment, the client needed to automate how specifications are integrated with Laboratory Information Management and go-forward strategy to create data centric specs, that will be integrated into laboratory environment to eliminate rework.
Harmonizing material codes across ERP, PLM and Laboratory Management Systems. Created a closed loop process between LIMS and PLM to manage deviations in test parameters and take actions in PLM when needed.
3
5
Global Pharma Company
As part of a de-merger, the current LIMS application required upgrading to the current supported version and customised to generate Certificates of Analysis. A second LIMS system also needed to be upgraded to the current supported version.
Project plan developed and executed, utilising company internal resources, 3rd party resources, and delivery centres to carry out activities, making use of timezones. LIMS system implemented, and provided client with complete, manageable and usable validation and compliance documentation package – satisfying both business and regulatory requirements
3
9
Automotive Supplier
The client was producing cooling modules in a factory for automotive OEMs without support of a manufacturing execution system. A new customer required a full traceability of the production for its modules, which lead to the need of implementing a MES solution providing this functionality
The client chose us to implement SAP ME for the selected lines in their factory based on the joint work on the customer's SAP ME global template The solution implemented by us offers a stable, scalable manufacturing execution solution based on the SAP ME suite
2
6
Automotive Parts Supplier
Deloitte developed an edge gateway component based on AWS Greengrass v2 using Lambdas, Nginx Proxy and MQTT. The edge device communicated with AWS public cloud using an Nginx server installed as a component in a Docker container. Quicksight dashboard with live feed of production and tool lifetime related data
Review of the IT Risk Assessment and Information Security Procedures, Cyber Security Measures and IT & PTS Architecture. Cyber Security controls review for IT infrastructure and Plant Technical System (PTS) /Industrial Control System (ICS) / OT based on the identified controls matrix. Remediation Testing against the additional controls implemented based on the recommendations
1
Medical Technology Company
Deloitte contracted top-level consulting planning, 5G digital twin smart hospital setting design and other consulting work, to help integrate complex IT functions and systems. This resulted in reduced wait times, reduced average hospitalisation time and optimised allocation of medical resources according to patient needs
Global deployment of integrated product development and manufacturing process templates were executed, focusing on capturing value and accelerating downstream deployment. This allowed increased integration and enhanced capabilities driving efficiency and operational agility to achieve $100m+ recurring P&L benefit. This integrated, enterprise-wide platform enabled digital innovation and competitiveness.
1
Dyson Digital Leap Programme
An agile change approach was developed and used to drive technology adoption across commerce, content, and identity. A large people capability assessment was conducted to understand digital skills and maturity. The DE team were able to go beyond the “Go-Live” and set up Dyson for long term success by enabling the right people and processes to work with their new technology and generate ROI.
Clearly executable roadmap and timeline to achieve transformation across 5 plants and 1500 users. Drove process harmonization through regional design process, yielding alignment on common process model with 84% of user stories fulfilled by OOTB / low configuration functionality in the selected MES platform. Enabled end-to-end visibility & traceability for production orders from metal receiving to shipping
9
Global Shipping and Logistics Company
We implemented robust processes for on/offboarding resources (Deloitte and client) to staff critical projects effectively. We also developed and implemented a governance structure and controls for project delivery. We brought expertise from our Global Deloitte network, including Denmark, Netherlands, Portugal, Spain and USI. We also set up and managed all engagement financials, providing leadership reports and KPIs.
We designed the global solution, applied it to product lines, aligned and co-ordinated site releases then released to the factory floor. Due to the simultaneous go-live of the MES system and SAP S4/HANA we emphasised strategic product line segmentation and prioritisation to de-risk the MES effort and minimise impact. The new MES allowed our client to interact with eDHRs, providing full searchability and traceability
9
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6
8
2
4
7
7
8
9
1
OUR EXPERIENCE
Digital Twin Quals Matrix A shortlist of our Digital Twin Platform implementations, demonstrating, experience in manufacturing, other sectors and across the design envelope
Requirement Name
Description
1
2
3
4
5
6
7
8
9
#
German Automotive Manufacturing
Manufacturing control tower with integrated predictive maintenance of the full automotive production line
Danish Global Scale Logistics
Digital twin creation to support optimised realtime decision making (what if scenarios) and enable operation analytics
Multinational bottling company
Smart Factory control tower with integrated predictive maintenance of the production line
Processed Foods Manufacturer
Smart Factory with IoT Platform integrated with PLC/SCADA of connected equipment and sensors
National Rail Company
Created a real-life quality 3-D rendered virtual environment to enable fully interactive signal box training.
OnSite AI (GCP)
Analytics platform to optimize underwriting risk-selection models using structured & unstructured data to generate actionable insights
Requirement
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1
ML/AI models
6
Online real time optimisation
2
Real time model update
7
Open loop advisory system
3
Model change management
8
Closed loop optimisation
4
Model Life Cycle Management
9
Secure and Safe control for data
5
Offline scenario
#
Integrated into client env. underpinned by a platform.
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