Real-Time Data-Driven Maintenance Logistics

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Willem van Jaarsveld, Laurens Bliek, Mathijs de Weerdt, Stella Kapodistria, Verus Pronk, Peter Verleijsdonk, Simon Voorberg, Alp Akçay, Paulo da Costa, Rik Eshuis, Uzay Kaymak, Geert-Jan van Houtum, Sicco Verwer, Yingqian Zhang

Published: 28 Oct 2024, Last Modified: 17 Feb 2026Commit2DataEveryoneRevisionsBibTeXCC BY-SA 4.0
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.