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Scheduling linear deteriorating jobs to minimize the number of tardy jobs


  • Abbasali Jafari
  • Ghasem Moslehi



In this paper a problem of scheduling a single machine under linear deterioration which aims at minimizing the number of tardy jobs is considered. According to our assumption, processing time of each job is dependent on its starting time based on a linear function where all the jobs have the same deterioration rate. It is proved that the problem is NP-hard; hence a branch and bound procedure and a heuristic algorithm with O(n 2 ) is proposed where the heuristic one is utilized for obtaining the upper bound of the B&B procedure. Computational results for 1,800 sample problems demonstrate that the B&B method can solve problems with 28 jobs quickly and in some other groups larger problems are also solved. Generally, B&B method can optimally solve 85% of the samples which shows high performance of the proposed method. Also it is shown that the average value of the ratio of optimal solution to the heuristic algorithm result with the objective ∑(1 − Ui) is at most 1.11 which is more efficient in comparison to other proposed algorithms in related studies in the literature. Copyright Springer Science+Business Media, LLC. 2012

Suggested Citation

  • Abbasali Jafari & Ghasem Moslehi, 2012. "Scheduling linear deteriorating jobs to minimize the number of tardy jobs," Journal of Global Optimization, Springer, vol. 54(2), pages 389-404, October.
  • Handle: RePEc:spr:jglopt:v:54:y:2012:i:2:p:389-404
    DOI: 10.1007/s10898-011-9767-1

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    References listed on IDEAS

    1. Chen, Wen-Jinn, 2009. "Minimizing number of tardy jobs on a single machine subject to periodic maintenance," Omega, Elsevier, vol. 37(3), pages 591-599, June.
    2. M'Hallah, Rym & Bulfin, R.L., 2007. "Minimizing the weighted number of tardy jobs on a single machine with release dates," European Journal of Operational Research, Elsevier, vol. 176(2), pages 727-744, January.
    3. M'Hallah, Rym & Bulfin, R. L., 2003. "Minimizing the weighted number of tardy jobs on a single machine," European Journal of Operational Research, Elsevier, vol. 145(1), pages 45-56, February.
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    Cited by:

    1. repec:spr:jglopt:v:68:y:2017:i:4:d:10.1007_s10898-017-0509-x is not listed on IDEAS
    2. Jun Pei & Xinbao Liu & Panos M. Pardalos & Athanasios Migdalas & Shanlin Yang, 2017. "Serial-batching scheduling with time-dependent setup time and effects of deterioration and learning on a single-machine," Journal of Global Optimization, Springer, vol. 67(1), pages 251-262, January.


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