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A note on due-date assignment and single-machine scheduling with deteriorating jobs and learning effects

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  • W-H Kuo

    (National Formosa University)

  • D-L Yang

    (National Formosa University)

Abstract

The concepts of deteriorating jobs and learning effects have been individually studied in many scheduling problems. This note considers a single-machine scheduling problem with deteriorating jobs and learning effects. All of the jobs have a common (but unknown) due date. The objective is to minimize the sum of the weighted earliness, tardiness and due-date penalties. An O(n 3) algorithm is proposed to optimally solve the problem with deteriorating jobs and job-dependent learning effect. Besides, an O(n log n) algorithm is provided to solve the problem with deteriorating jobs and job-independent learning effect.

Suggested Citation

  • W-H Kuo & D-L Yang, 2011. "A note on due-date assignment and single-machine scheduling with deteriorating jobs and learning effects," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(1), pages 206-210, January.
    • Handle: RePEc:pal:jorsoc:v:62:y:2011:i:1:d:10.1057_jors.2009.155
    DOI: 10.1057/jors.2009.155
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    References listed on IDEAS

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    Cited by:

    1. Min Ji & Chou-Jung Hsu & Dar-Li Yang, 2013. "Single-machine scheduling with deteriorating jobs and aging effects under an optional maintenance activity consideration," Journal of Combinatorial Optimization, Springer, vol. 26(3), pages 437-447, October.

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