Machine learning applications in supply chain management: A case study at MPO

Master thesis (2022)

Authors

M. van der Meer Civil Engineering & Geosciences

Contributors

J Vleugel (mentor)
M.B. Duinkerken Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering (mentor)
R.R. Negenborn Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering (graduation committee member)
M Verwijmeren (coach)
P van Dongen (coach)
Faculty
Civil Engineering & Geosciences, Civil Engineering & Geosciences
Copyright: © 2022 Mike van der Meer
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Published Date

23-11-2022

Language

English

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Faculty

Civil Engineering & Geosciences

Abstract

The costs for logistics has been increasing over the last few years, especially since the pandemic. This is felt in many supply chains and therefore it is important to explore avenues to reduce these costs. In this research a case study will be performed at MPO. MPO is a supply chain management company thatwould like to improve their services through the use of machine learning. Accordingly, in this research the main research question that will be answered is: "Howcan supply chain management be improved through the use of machine learning?". This study is split into five sub-questions where the first two sub-questions are aimed at the literature of supply chain management and machine learning respectively. The third sub-question dives into the case of MPO and selects an element, which will be looked at further in the research. To answer sub-question four, a conceptual model for the chosen element is made. The fifth and final sub-question measures the impact of conceptual model variants on the results of experiments performed on the selected element...