Research and practice on business model innovations to support industrial sustainability is developing rapidly. However the long-run implications of such innovations are poorly understood and unquantified. There is limited understanding of the behavioural characteristics of manufacturers and consumers needed to support successful innovation for sustainability. Consequently, the sustainability benefits of business model innovations often fall far short of expectations and can be counter-productive. This proposal seeks to advance the study of industrial sustainability by extending the application of agent-based modeling techniques to explore system-level implications of sustainable business models. The research will build an understanding of the impact of business models on the industrial system. It will identify key leverage points which will support industrialists and policymakers in facilitating greater triple-bottom-line sustainability. The project will produce guides for manufacturers and researchers to enable investigation and experimentation with alternative sustainable business model innovations.

Circular approaches to design, manufacture and services are proposed as one of the most significant opportunities to radically re-think how we use and re-use finite resources. Pairing the digital revolution with the principles of a Circular Economy (CE) has the potential to radically transform the industrial landscape and its relationship to materials and finite resources, thus unlocking additional value for the manufacturing sector. Despite meaningful success by a handful of manufacturers to move towards more sustainable practices through the use of data-driven intelligence, it is unclear which CE strategy is the most valuable for a business and at what time in a products lifecycle it should be implemented. As such, this research aims to identify how data from products in use can inform intelligent decisions surrounding the implementation of Circular Economy strategies so as to accelerate the implementation of circular approaches to resource use within UK manufacturing. Multiple research efforts and best practice examples have shown that a transition towards a Circular Economy can bring about lasting benefits from a more innovative, resilient and productive economy. This is particularly prevalent for manufacturing as it offers one of the biggest potentials for economic and environmental impact of any sector. It is estimated that materials savings alone in the European Union could amount to USD 630 billion. Digital technology is rapidly becoming a key enabler for unlocking the value from Circular Economy strategies with an estimated 10 billion physical objects with embedded information technology already in existence today and a predicted 50 billion in use by 2020. For the manufacturing sector, the ability to monitor and manage objects in the physical world electronically through data-driven decision-making changes the way that value is created. The capture and analysis of data streams between manufacturing, product and user is already enabling organisations to decouple manufacturing growth from resource consumption through new service offerings, providing customers with added value such as financial savings and safety improvement, and enabling organisations to shift their business model from selling to leasing. This shift in ownership, enabled through access to the right data, brings about a need for manufacturers to design products that last and to integrate processes such as remanufacturing to enable materials and resources to be cycled as many times as possible resulting in significant environmental savings, job creation and up-skilling associated with the development of new processes. Through harnessing digital technological advances to inform decisions on Circular Economy strategies, this research has the opportunity to radically transform UK manufacturing and enable the sector to capture significant value from a Circular Economy that is currently being lost. The originality of this research lies in using data-driven intelligence to optimise the selection of CE strategies for products and the timings of intervention in the product lifecycle. This challenging three year project will bring together an internationally renowned team of experts in Circular Innovation, Manufacturing Informatics and Information Theory from Cranfield University and University of Sheffield drawing on leading-edge strengths of the host institutions and international connections with research communities, companies, business intermediaries and governance at national and international scales. The research team will partner with key players across the manufacturing sector, capable of initiating system level change, to develop novel methods for acquiring and integrating new data streams, uncovering exciting opportunities for new value creation within manufacturing organisations and enabling informed circular interventions surrounding the manufacture and use of products.

Circular approaches to design, manufacture and services are proposed as one of the most significant opportunities to radically re-think how we use and re-use finite resources. Pairing the digital revolution with the principles of a Circular Economy (CE) has the potential to radically transform the industrial landscape and its relationship to materials and finite resources, thus unlocking additional value for the manufacturing sector. Despite meaningful success by a handful of manufacturers to move towards more sustainable practices through the use of data-driven intelligence, it is unclear which CE strategy is the most valuable for a business and at what time in a products lifecycle it should be implemented. As such, this research aims to identify how data from products in use can inform intelligent decisions surrounding the implementation of Circular Economy strategies so as to accelerate the implementation of circular approaches to resource use within UK manufacturing. Multiple research efforts and best practice examples have shown that a transition towards a Circular Economy can bring about lasting benefits from a more innovative, resilient and productive economy. This is particularly prevalent for manufacturing as it offers one of the biggest potentials for economic and environmental impact of any sector. It is estimated that materials savings alone in the European Union could amount to USD 630 billion. Digital technology is rapidly becoming a key enabler for unlocking the value from Circular Economy strategies with an estimated 10 billion physical objects with embedded information technology already in existence today and a predicted 50 billion in use by 2020. For the manufacturing sector, the ability to monitor and manage objects in the physical world electronically through data-driven decision-making changes the way that value is created. The capture and analysis of data streams between manufacturing, product and user is already enabling organisations to decouple manufacturing growth from resource consumption through new service offerings, providing customers with added value such as financial savings and safety improvement, and enabling organisations to shift their business model from selling to leasing. This shift in ownership, enabled through access to the right data, brings about a need for manufacturers to design products that last and to integrate processes such as remanufacturing to enable materials and resources to be cycled as many times as possible resulting in significant environmental savings, job creation and up-skilling associated with the development of new processes. Through harnessing digital technological advances to inform decisions on Circular Economy strategies, this research has the opportunity to radically transform UK manufacturing and enable the sector to capture significant value from a Circular Economy that is currently being lost. The originality of this research lies in using data-driven intelligence to optimise the selection of CE strategies for products and the timings of intervention in the product lifecycle. This challenging three year project will bring together an internationally renowned team of experts in Circular Innovation, Manufacturing Informatics and Information Theory from Cranfield University and University of Sheffield drawing on leading-edge strengths of the host institutions and international connections with research communities, companies, business intermediaries and governance at national and international scales. The research team will partner with key players across the manufacturing sector, capable of initiating system level change, to develop novel methods for acquiring and integrating new data streams, uncovering exciting opportunities for new value creation within manufacturing organisations and enabling informed circular interventions surrounding the manufacture and use of products.

By 2050 the global industrial system is committed by international agreements and governments to double its output while only using 50% of current resources and generating no more than 20% of current CO2. Achieving this represents an exciting new industrial revolution, requiring new approaches and new thinking which we term collectively Industrial Sustainability .The EPSRC Centre for Innovative Manufacturing in Industrial Sustainability will work closely with leading companies of all sizes and from all sectors who are already actively preparing for this challenge. The Centre will work on two fronts: rapidly reducing the resource & energy-intensity in the production of existing goods while simultaneously investigating options for a radical redesign of the industrial system. We will build a foundation of projects in 'eco-efficiency' (creating more value using less resource by focussing on reducing use of energy, water and materials), in 'eco-factory' (for example using waste from one process as inputs to another wherever possible), and in 'sustainable industrial system' (conserving resources by for example using solar income, re-distributing what gets made where and re-assessing what and how value is delivered). As we better understand what works and what doesn't, we will develop and deliver tools and techniques, which will be used, by our collaborators to achieve their sustainability goals. Some of these tools will be commercialised and some will be made more freely available. Manufacturers of all types will use these tools to reduce the amount of energy, water and material they use to produce each product. We will work with producers of cars, food, furniture, detergents and many other products to make sure our tools are useful to as many manufacturers and sectors as possible.When we know that the tools do help to improve performance we will broadcast their existence to multiple manufacturers through our network and partners; we will measure how useful the tools are and publish that information on-line.During the 5-year initial life of the Centre we will train over 80 people to the highest standard, preparing them to be academics and practitioners with the leadership skills capable of helping industry rise to the challenge of sustainability

Summary The National Interdisciplinary Circular Economy Hub will be led by Co-Directors and joint PI's Professors Peter Hopkinson and Fiona Charnley to harness and scale-up the UK's leading research capabilities, providing the evidence base, inspiration and capacity to accelerate the transition towards a global circular economy (CE). To achieve this ambitious vision, the CE-Hub will deliver a User Engagement Strategy targeted to meet the differing needs of three user groups NICER Circular Economy Centre consortia 2) CE research Collaborators, Experts and End Users 3) CE Communities and Wider Society These objectives will be delivered through five pillars. Pillar One: CE-Observatory. We will develop and deliver the UKs first National CE-Observatory to create a systemic data and modelling framework for the NICER programme. The observatory will provide an evidence base to a) improve data quality and consistency across the NICER programme and wider policy initiatives b) improve modelling of resource flows across the UK relevant to CE system level interventions , c) quantify CE resource productivity, value creation and capture opportunities at scale, d) establish a common, agreed and consistent set of CE metrics and indicators and e) provide a source of evidence for a UK CE Road Map. Pillar 2: Knowledge Platform. We will develop a CE Knowledge Platform to coordinate programme outputs and a repository of national research, knowledge, practical demonstration and implementation tools and enablers. Outcomes and impacts of the CE knowledge platform include a) develop shared understanding of CE in theory and practice, principles and methods, b) improve the co-ordination, design and evaluation of CE case studies including detailed evidence of implementation pathways and opportunity c) generate knowledge and insight to inform key research, policy and industry solutions, d) identify UKRI and Innovate UK funding priorities, [c] create a gateway between the UK and International CE communities Pillar 3: Impact and Innovation. The CE-Hub will facilitate mechanisms of interdisciplinary, cross-value chain collaboration and solution innovation; contributing towards the co-creation of a UK CE Road map. Outcomes and impacts include a) increase the UK CE research and innovation capacity, b) build capability and experience of interdisciplinary CE collaboration c) create new CE value propositions, products, services and demonstrators capable of scaling and d) advance understanding of the pathways, enabling mechanisms and roadmaps to implementation. Pillar 4: Inclusive Community and Pillar 5: Capacity Building. The CE-Hub will build and coordinate an inclusive and capable CE community to enable CE transformation through collaboration and communication. It will identify CE capability and skills gaps and inform future funding and training opportunities. Outcomes and impacts include a) to embed multi-disciplinary understanding of CE principles, opportunities and pathways through a highly engaged community, b) the synthesis of evidence directed towards key stakeholder questions, c) to define CE skills, capacity requirements and career pathways d) to contribute to an increase in ECRs pursuing CE related careers and e) increase general consumer awareness of CE and influence informed behaviour and decision making.