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On-line maintenance job scheduling and assignment to resources in distributed systems by heuristic-based optimization

Abstract : A heuristic-based optimization algorithm is proposed in this paper for on-line scheduling and assignment of preventive maintenance jobs to processors, to minimize under availability constraints, on a given time-window, the total cost of the maintenance operations of a distributed system. This algorithm minimizes the cost of discharge of preventive maintenance tasks or jobs, while assigning the tasks along with balancing the processors load. It is shown that the problem is NP-hard. To solve it, the concept of job emergency is introduced and the priority rule for total flow time (PRTF) criterion is used in an adapted heuristic job-scheduling model. In addition, the algorithm considers the constraints of precedence among consecutive standby jobs and their emergency. It is depicted the specific properties of the proposed heuristic allowing jobs scheduling in the right order. Computational results illustrate the efficiency of the approach implemented on different system configurations.
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https://hal-utt.archives-ouvertes.fr/hal-02499530
Contributor : Daniel Gavrysiak <>
Submitted on : Thursday, March 5, 2020 - 12:38:43 PM
Last modification on : Wednesday, November 25, 2020 - 10:18:03 AM

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Kossi Adzakpa, Kondo Adjallah, Farouk Yalaoui. On-line maintenance job scheduling and assignment to resources in distributed systems by heuristic-based optimization. Journal of Intelligent Manufacturing, Springer Verlag (Germany), 2004, 15 (2), pp.131-140. ⟨10.1023/B:JIMS.0000018029.60981.e6⟩. ⟨hal-02499530⟩

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