Supply chain transformation enabled by advanced technologies: Implications for producers, consumers and society [27-28 September 2018]
How are advanced technologies transforming supply chains? Interactions between producers, consumers and society are rapidly changing, shaken up by a plethora of emerging technologies. For example, we have seen the use of smartphones driving a new e-commerce model; or within manufacturing we have seen how the Internet of Things can support intelligent automation. Beyond the initial hype around 3D printing we are now witnessing real world applications, from large but lightweight structures in aerospace, to small, complex medical devices and instruments.
What are the implications for supply chains, and how do companies need to adapt and develop their capabilities? And what are the considerations for consumers and wider society?
The 2018 Symposium provided an opportunity to discuss and explore these issues. It is a unique event that brings together senior industrialists and leading academics to share their approaches and experiences.
For further information on the annual Cambridge International Manufacturing Symposium, please visit the website here.
Settanni, E; Srai, Jagjit Singh; Kothapalli, V Mark; Settanni, Ettore [0000-0001-5174-9423]; Srai, Jag [0000-0003-2277-2127]
This paper combines recurrence analysis of field data from clinical trial supply chain (CTSC) with a proof-of-concept inventory profile simulation to evaluate an alternative packing capability that supports just-in-time (JIT) manufacturing and distribution of investigational medicinal products (IMP). Assumptions for JIT packing supply capabilities and expedite quality release were taken from a detailed design prototype recently commissioned by a leading pharmaceutical consortium. The suggested technological intervention is assessed in its ability to reduce finished good inventory while adequately responding to the dynamics of uncertain patient recruitment and required service levels. The proposed combination of field data analysis and simulation enables practitioners to consider the possibilities for a more economically viable adaptive clinical trial supply based on JIT technologies and near real-time product utilisation information across multiple locations.
(Centre for International Manufacturing, University of Cambridge Institute for Manufacturing, 2018-09-28) Roberts, Simon J; Poulter, David; Shaw, Allen; Gollub, Emma; Dave, Aanand; Zalasiewicz, Mateusz; Freeman, Matthew