• BACKGROUND: Conventional manufacturing processes are designed for mass production at a low cost. In recent years, globalization of markets has imposed demands on enterprises to respond rapidly to technological advances and changing preferences of a large customer base. This has led to globally distributed manufacturing and supply chains. Distributed manufacturing processes need to operate seamlessly in an interconnected and distributed manner, rapidly adapt to changes across the customer base, and be able to reconfigure and address changing product requirements in a timely and cost-efficient manner. Conventional manufacturing processes are not suited for agile, flexible and highly reconfigurable manufacturing. Industry 4.0 as a result of several new technologies has a disruptive influence on manufacturing. A response to this disruption is the digitization of networked engineered systems that are increasingly being adopted to respond to changes in the market. Hence, we propose an architecture anchored in Industry 4.0., for design of cyber-physical-product-service (CPPS) systems that integrates producer and consumer preferences into engineering design. However, in order to design smart (resilient and sustainable) manufacturing systems we need to achieve model-level, device-level, and system-level (re)configuration.
• AIM and SCOPE: The aim of this project is to investigate how to design smart manufacturing systems that will allow multiple (re)configurations among elements in the system in order to adapt to dynamic changes in the market and in customer preferences. This project has five phases (1) reconfiguration of production line to achieve customized production; (2) reconfiguration of the inspection system to achieve comprehensive detection; (3) reconfiguration of the manufacturing system to achieve resilience and sustainability of the system; (4) self-regulation of supply chain activities in cloud manufacturing networks; and (5) utilize different reconfiguration strategies in the architecture for design of CPPS systems. The value that we bring in is the reconfiguration of the manufacturing systems in order to achieve resilience and sustainability in the presence of dynamic changes that market and in customer preferences bring. By working with Dr. Jelena Milisavljevic Syed the successful candidate will have the opportunity to learn how to (1) frame the problem and identify questions worthy of investigation in design of smart manufacturing systems; (2) how to use game theory in design of smart manufacturing systems; (3) design software frameworks and implement them; (4) publish high quality research articles; and (5) create new knowledge on the design of smart manufacturing systems in the context of Industry 4.0.
• RESEARCH ENVIRONMENT: You will work within a vibrant and rapidly growing community of researchers in the Division’s focus areas of Cloud-Based Design and Manufacturing. In addition, you will have the opportunity for internal and external collaborations. Internally, you will have opportunity to collaborate with colleagues from our Virtual Engineering Centre (VEC), the leading UK centre for Virtual Engineering expertise, which delivers technology development, the latest research, training and knowledge transfer around the application and adoption of advanced modelling, simulation and 3D immersive visualisation in support of product design and manufacturing innovation. Externally, you will have opportunity to collaborate with experts in in the areas of embedded controls, automotive control and control of off-road equipment within the International System Realization Partnership (ISRP).
• FUNDING: This is a self-funded project, any interested applicants or any potential sponsor (local government or industry) will need to provide their own financial support in relation to tuition fees, research support fees and living expenses.
• REQUIRED SKILLS: We are seeking candidates with a minimum of 2:1 (or equivalent) first degree in Design, Engineering, Computer Science/IT or a related subject. Experience in system design, and/or manufacturing is preferred, and digital technologies is required, as are strong communication and team working skills.
• HOW TO APPLY: Please apply through the University of Liverpool’s online system https://www.liverpool.ac.uk/study/postgraduate-research/how-to-apply/
with a full Curriculum Vitae, covering letter, and contact details for at least two academic references.
Please direct enquiries to Dr Jelena Milisavljevic Syed: [email protected]