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Fully funded 4-year PhD (Years 1 & 4 in Sheffield; years 2 & 3 in Singapore)
Open only to Home Students with a STEM (Science, Technology, Engineering & Mathematics) background in industry or as an undergraduate
Project Objectives
Project Description
The recent Covid-19 pandemic caused global supply chain disruptions, with manufacturers worldwide unable to source raw materials or distribute their products to customers. In its aftermath, companies are now more invested in building their supply chain resilience, so as to better weather future unexpected disruptions.
The importance of building supply chain resilience is more acutely felt by the agri-food sector, which frequently faces issues such as short shelf-lives (both in raw materials and finished products) weather disruptions (e.g., sharp price increases of raw materials due to a drought) and supply chain disruptions. For such businesses, even moderate delays can lead to significant amounts of food wastage and monetary loss.
This project aims to determine how best to work with the agri-food sector to improve its supply chain resilience. In particular, it will look at how inventory management practices may be improved, using methods from operations research and machine learning. It is well-aligned to Singapore’s “30 by 30” goal of growing its agri-food industry to sustainably produce 30% of its nutritional needs by 2030 and is important for the UK which is heavily dependent on food imports.
Scope of work to be carried out at SimTech in Singapore
Scope of work to be carried out in Sheffield
Outcomes
To help the agri-food sector cope with supply chain disruption though enhanced inventory control and forecasting which would increase the resilience of the sector.
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