Project Details
Description
I worked as a postdoc on the research project “Dynamic and Adaptable Supply Chain Logistics System” funded by a supply chain service provider in China, YHGlobal, and partnered with the University of Cambridge. I managed to increase the order processing efficiency in B2C order fulfilment warehouse by developing an integrated order picking and packing method based on mathematical optimisation. A pilot was run to execute picking and packing in a real warehouse, resulting in 17-22% improvement in makespan, average order processing time, and total labour efficiency. The method contributed to both industry and academia, stimulating applications of my integration conception against single-process planning.
| Acronym | DASHLog |
|---|---|
| Status | Finished |
| Effective start/end date | 1/02/18 → 31/12/19 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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