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Note on the time complexity of resource constrained scheduling with general truncated job-dependent learning effect

Author

Listed:
  • Dexin Zou

    (Nanjing Sport Institute
    Jiangsu Sports and Health Engineering Collaborative Innovation Center)

  • Chong Jiang

    (Nanjing Sport Institute)

  • Weiwei Liu

    (Shenyang Sport University)

Abstract

In a recent paper (He et al. in J Comb Optim 33(2):626–644, 2017), the authors considered single machine resource allocation scheduling with general truncated job-dependent learning effect. For the convex resource consumption function and limited resource cost, the problem is to minimize the weighted sum of makespan, total completion time, the total absolute deviation in completion time and resource consumption cost. They conjectured that this problem is NP-hard. In this note we show that this problem can be solved in $$O(n^3)$$ O ( n 3 ) time. It is also shown that Lemma 4 in He et al. (2017) is incorrect by a counter-example.

Suggested Citation

  • Dexin Zou & Chong Jiang & Weiwei Liu, 2020. "Note on the time complexity of resource constrained scheduling with general truncated job-dependent learning effect," Journal of Combinatorial Optimization, Springer, vol. 40(4), pages 861-868, November.
    • Handle: RePEc:spr:jcomop:v:40:y:2020:i:4:d:10.1007_s10878-020-00628-7
    DOI: 10.1007/s10878-020-00628-7
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    References listed on IDEAS

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    1. Hongyu He & Mengqi Liu & Ji-Bo Wang, 2017. "Resource constrained scheduling with general truncated job-dependent learning effect," Journal of Combinatorial Optimization, Springer, vol. 33(2), pages 626-644, February.
    2. Biskup, Dirk, 2008. "A state-of-the-art review on scheduling with learning effects," European Journal of Operational Research, Elsevier, vol. 188(2), pages 315-329, July.
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