Forecasting spare parts of free-floating shared vehicles

A search to a data driven approach to improve the availability of spare parts

Master thesis (2021)

Authors

M.L. Broekman Civil Engineering & Geosciences

Contributors

R.R. Negenborn Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering (coach)
X. Jiang Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering (supervisor 1)
M.Y. Maknoon Transport and Logistics - TPM (supervisor 2)
Faculty
Civil Engineering & Geosciences
Copyright: © 2021 Marleen Broekman
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Published Date

19-05-2021

Language

English

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Faculty

Civil Engineering & Geosciences

Abstract

For the shared mobility service providers, it is essential to have an economic operation and therefore, it is necessary to maximise their fleet utilisation. Of influence on the latter is the availability of the spare parts. The topics for which spare part forecasting research is already performed are different in several ways compared to the field of free-floating shared vehicles. The many different users with each different driving skill, wear and tear by operation, events as vandalism and traffic accidents and constantly standing out on the street result in sudden failures of parts. Three different forecast models are presented in this paper. The effect of including demand generating factors in the forecast approach is analysed. The methods show that a better forecast performance can be achieved while including demand generating factors into the analysis. The forecast accuracy can be further improved and some suggestions for improvement are given in the paper.