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Algorithms for Multi-Customer Scheduling with Outsourcing

Author

Listed:
  • Qi Feng

    (College of Science, Zhongyuan University of Technology, Zhengzhou 450007, China)

  • Shisheng Li

    (College of Science, Zhongyuan University of Technology, Zhengzhou 450007, China)

Abstract

There are two customers and two uniform machines. Each customer has a set of jobs. These jobs may be processed on a uniform machine or may be outsourced with an outsourcing cost. Every customer has an objective function for his jobs. Manufacturers want to find the best scheduling scheme for both customers. We present algorithms for these problems for the first time.

Suggested Citation

  • Qi Feng & Shisheng Li, 2022. "Algorithms for Multi-Customer Scheduling with Outsourcing," Mathematics, MDPI, vol. 10(9), pages 1-12, May.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:9:p:1553-:d:808845
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    References listed on IDEAS

    as
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    5. Qiulan Zhao & Jinjiang Yuan, 2020. "Bicriteria scheduling of equal length jobs on uniform parallel machines," Journal of Combinatorial Optimization, Springer, vol. 39(3), pages 637-661, April.
    6. Alessandro Agnetis & Jean-Charles Billaut & Stanisław Gawiejnowicz & Dario Pacciarelli & Ameur Soukhal, 2014. "Multiagent Scheduling Fundamentals," Springer Books, in: Multiagent Scheduling, edition 127, chapter 0, pages 1-22, Springer.
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    Full references (including those not matched with items on IDEAS)

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