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Heuristics for operational fixed job scheduling problems with working and spread time constraints

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  • Türsel Eliiyi, Deniz
  • Azizoglu, Meral

Abstract

Operational fixed job scheduling problems select a set of jobs having fixed ready and processing times and schedule the selected jobs on parallel machines so as to maximize the total weight. In this study, we consider working time and spread time constrained versions of the operational fixed job scheduling problems. The working time constraints limit the total processing load on each machine. The spread time constraints limit the time between the start of the first job and the finish of the last job on each machine. For the working time constrained problem, we present a filtered beam search algorithm that evaluates the promising nodes of the branch and bound tree. For the spread time constrained problem we propose a two phase algorithm that defines the promising sets for the first jobs and finds a solution for each promising set. The results of our computational tests reveal that our heuristic algorithms perform very well in terms of both solution quality and time.

Suggested Citation

  • Türsel Eliiyi, Deniz & Azizoglu, Meral, 2011. "Heuristics for operational fixed job scheduling problems with working and spread time constraints," International Journal of Production Economics, Elsevier, vol. 132(1), pages 107-121, July.
    • Handle: RePEc:eee:proeco:v:132:y:2011:i:1:p:107-121
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    References listed on IDEAS

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    1. Matteo Fischetti & Silvano Martello & Paolo Toth, 1989. "The Fixed Job Schedule Problem with Working-Time Constraints," Operations Research, INFORMS, vol. 37(3), pages 395-403, June.
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    1. Gedik, Ridvan & Rainwater, Chase & Nachtmann, Heather & Pohl, Ed A., 2016. "Analysis of a parallel machine scheduling problem with sequence dependent setup times and job availability intervals," European Journal of Operational Research, Elsevier, vol. 251(2), pages 640-650.

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