A Simulation-based Evaluation of Dynamic Task Prioritization in Maintenance Management

Dietmar Neubacher, Nikolaus Furian, Clemens Gutschi, Tobias Elmer, Siegfried Vössner

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


Reliability and availability of machines are crucial for an efficient manufacturer and great maintenance operations are the key. Due to the advancement of condition monitoring and predictive analytics more information is available and the field shifts from corrective to preventive task fulfillment. Nevertheless, well trained experts are rare and responsible for different machines at the same time. Most experts have already identified that the sequence of task execution could heavily influence the production output. However, in practice only simple heuristics are used, yet they still improve the performance significantly. The question arise if a prioritization of work orders could be further enhance using bottleneck detection methods. To show the potential of these techniques, a simulation based study is conducted. First, the reliabilities of selected bottleneck detection methods are tested on a simplified line model. Second, the performances of all prioritization policies are evaluated and compared using a real industrial use case. Contrary to the expectations, a simple heuristics has shown a good performance. Nevertheless, applying the Active Period Method has significantly outperformed the other approaches and the bottleneck ranking has proven to be a very good indicator to prioritize work orders.
Original languageEnglish
Title of host publication31st Annual European Simulation and Modelling Conference 2017, ESM 2017
Pages167 - 173
ISBN (Electronic)978-949285900-6
Publication statusPublished - 27 Oct 2017
Event31st European Simulation and Modelling Conference: ESM 2017 - Lisbon, Portugal
Duration: 25 Oct 201727 Oct 2017


Conference31st European Simulation and Modelling Conference
Abbreviated titleESM'2017
Internet address


  • Discrete Event Simulation
  • Maintenance Management
  • Hiararchical
  • Decision Support System

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