Real-Time Data-Driven Maintenance Logistics: A Public-Private Collaboration

Willem van Jaarsveld*, Laurens Bliek, Mathijs de Weerdt, Stella Kapodistria, Verus Pronk, Peter Verleijsdonk, Simon Voorberg, Sicco Verwer, Yingqian Zhang, More Authors

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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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.

Original languageEnglish
Title of host publicationCommit2Data
EditorsBoudewijn R. Haverkort, Aldert de Jongste, Pieter van Kuilenburg, Ruben D. Vromans
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
Number of pages13
ISBN (Electronic)9783959773515
DOIs
Publication statusPublished - 2024

Publication series

NameOpenAccess Series in Informatics
Volume124
ISSN (Print)2190-6807

Keywords

  • Data
  • Logistics
  • Maintenance
  • Optimization
  • Project
  • Research

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