2026-07-22T10:24:41Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:21362 2024-10-28T08:50:38Z ddc:004 open_access

Real-Time Data-Driven Maintenance Logistics: A Public-Private Collaboration van Jaarsveld, Willem Akçay, Alp Bliek, Laurens da Costa, Paulo de Weerdt, Mathijs Eshuis, Rik Kapodistria, Stella Kaymak, Uzay Pronk, Verus van Houtum, Geert-Jan Verleijsdonk, Peter Verwer, Sicco Voorberg, Simon Zhang, Yingqian Data Maintenance Logistics Optimization Research Project 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Willem van Jaarsveld and Alp Akçay and Laurens Bliek and Paulo da Costa and Mathijs de Weerdt and Rik Eshuis and Stella Kapodistria and Uzay Kaymak and Verus Pronk and Geert-Jan van Houtum and Peter Verleijsdonk and Sicco Verwer and Simon Voorberg and Yingqian Zhang 2024 Is Part Of OASIcs, Volume 124, Commit2Data (2024) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.Commit2Data.5 urn:nbn:de:0030-drops-213626 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.Commit2Data.5 eng https://creativecommons.org/licenses/by/4.0/legalcode