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Thesis

Robust optimisation with applications in supply chain management

Abstract:

We consider a production planning problem in supply chain management, namely the lot sizing problem under uncertainty. Lot sizing problems contain a fairly high degree of uncertainty in real life. Thus pre-decided optimal production plans are no longer of practical use. Current methods to address the uncertainty in the lot sizing problem either make strong assumptions or increase the complexity of the deterministic model significantly. In this study, we propose lot sizing models that use r...

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Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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