Resilience and Robustness of Dynamic Manufacturing Supply Networks

Research

Research context: Resilience and robustness of dynamic manufacturing supply networks.

Effective and efficient manufacturing supply networks (MSN) are essential to the functioning of the global economy. In line with the EPSRC call, this proposal is premised on the strong belief that appropriate mathematical theory and methods can provide fundamentally new understanding on the behaviour of MSNs and provide an effective investigative toolset for MSN analysis, design and management. In particular we argue that the power of network science can be harnessed to underpin new thinking in MSNs for resilience and robustness. With our industrial partners in aerospace, engineering, renewable energy and manufacturing consultancy, the research team is well placed, nationally and internationally to make a strong impact on the science of MSNs. The proposal provides an excellent opportunity to carry out inter-institutional and cross disciplinary research across four leading research groups with complementary expertise. The research collaboration started at a planning workshop for this Call for Proposals, organised by EPSRC and Industrial Mathematics KTN, in May, 2012 and the applicants have been in regular contact since. All 6 investigators will effectively act as co-PIs.

The project "Resilience and Robustness of Dynamic Manufacturing Supply Networks" is funded by the EPSRC under grant number EP/K031686/1