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Proposed procedure for optimal maintenance scheduling under emergent failures

    Abbas Al-Refaie Affiliation
    ; Heba Al-Shalaldeh Affiliation
    ; Natalija Lepkova   Affiliation

Abstract

Production lines are usually subjected to emergent machine failures. Such emergent failures disrupt pre-established maintenance schedules, which challenge maintenance engineers to react to those failures in real time. This research proposes an optimization procedure for optimizing scheduling repairs of emergent failures. Three optimization models are developed. Model I schedules failures in newly idle repair shops with the objective of maximizing the number of scheduled repairs. Model II maximizes the number of assigned repairs to untapped ranges. Model III maximizes both the number of assigned failure repairs and satisfaction on regular and emergency repairs by resequencing regular and emergent failures in the shop that contains the largest free margin. A real case study is provided to illustrate the proposed optimization procedure. Results reveal that the proposed models efficiently scheduled and sequenced emergent failures in the idle maintenance shops, the untapped ranges between repairs of regular failures, and in the maintenance shop with the largest free margin. In conclusions, the proposed models can greatly support maintenance engineers in planning repairs under unexpected failures. 

Keyword : emergency events, maintenance scheduling, satisfaction model, fuzzy goal programming

How to Cite
Al-Refaie, A., Al-Shalaldeh, H., & Lepkova, N. (2020). Proposed procedure for optimal maintenance scheduling under emergent failures. Journal of Civil Engineering and Management, 26(4), 396-409. https://doi.org/10.3846/jcem.2020.12315
Published in Issue
Apr 21, 2020
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This work is licensed under a Creative Commons Attribution 4.0 International License.

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