Real-Time Data-Driven Maintenance Logistics: A Public-Private Collaboration
van Jaarsveld, Willem, Akçay, Alp, Laurens Bliek, da Costa, Paulo, Mathijs M. De Weerdt, Eshuis, Rik, Kapodistria, Stella, Kaymak, Uzay, Pronk, Verus, van Houtum, Geert-Jan, Verleijsdonk, Peter, Sicco Verwer, Voorberg, Simon, Zhang, Yingqian · arXiv (Cornell University) · 2024
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.