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

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

van der Meer, Mike (TU Delft Civil Engineering & Geosciences)

Vleugel, J (mentor)
Duinkerken, M.B. (mentor)
Negenborn, R.R. (graduation committee)
Verwijmeren, M (graduation committee)
van Dongen, P (graduation committee)

Delft University of Technology

Transport, Infrastructure and Logistics

2022-11-23

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...

http://resolver.tudelft.nl/uuid:a6350221-a117-4753-ab3d-0d6beaa7ae2c

Student theses

master thesis

© 2022 Mike van der Meer