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An approximation algorithm for parallel machine scheduling with a common server

Author

Listed:
  • Guoqing Wang

    (Jinan University
    The Hong Kong Polytechnic University)

  • T C Edwin Cheng

    (The Hong Kong Polytechnic University)

Abstract

In this paper we study the scheduling of a given set of jobs on several identical parallel machines tended by a common server. Each job must be processed on one of the machines. Prior to processing, the server has to set up the relevant machine. The objective is to schedule the jobs so as to minimize the total weighted job completion times. We provide an approximation algorithm to tackle this intractable problem and analyze the worst-case performance of the algorithm for the general, as well as a special, case of the problem.

Suggested Citation

  • Guoqing Wang & T C Edwin Cheng, 2001. "An approximation algorithm for parallel machine scheduling with a common server," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(2), pages 234-237, February.
    • Handle: RePEc:pal:jorsoc:v:52:y:2001:i:2:d:10.1057_palgrave.jors.2601074
    DOI: 10.1057/palgrave.jors.2601074
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    Citations

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    Cited by:

    1. Yiwei Jiang & Qinghui Zhang & Jueliang Hu & Jianming Dong & Min Ji, 2015. "Single-server parallel-machine scheduling with loading and unloading times," Journal of Combinatorial Optimization, Springer, vol. 30(2), pages 201-213, August.
    2. David Füßler & Stefan Fedtke & Nils Boysen, 2019. "The cafeteria problem: order sequencing and picker routing in on-the-line picking systems," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(3), pages 727-756, September.
    3. Jun-Ho Lee & Hyun-Jung Kim, 2021. "A heuristic algorithm for identical parallel machine scheduling: splitting jobs, sequence-dependent setup times, and limited setup operators," Flexible Services and Manufacturing Journal, Springer, vol. 33(4), pages 992-1026, December.

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