Real-Time Data-Driven Maintenance Logistics
A Public-Private Collaboration
Willem van Jaarsveld (Eindhoven University of Technology)
Laurens Bliek (Eindhoven University of Technology, TU Delft - Algorithmics)
Mathijs de Weerdt (TU Delft - Algorithmics)
Stella Kapodistria (Eindhoven University of Technology)
Verus Pronk (Philips Research)
Peter Verleijsdonk (Eindhoven University of Technology)
Simon Voorberg (NEOMA Business School)
Sicco Verwer (TU Delft - Algorithmics)
Yingqian Zhang (TU Delft - Algorithmics, Eindhoven University of Technology)
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Abstract
The project “Real-time data-driven maintenance logistics” was initiated with the purpose of bringing innovations in data-driven decision making to maintenance logistics, by bringing problem owners in the form of three innovative companies together with researchers at two leading knowledge institutions. This paper reviews innovations in three related areas: How the innovations were inspired by practice, how they materialized, and how the results impact practice.
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