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    Parallel Machine Scheduling with Load Balancing and Sequence Dependent Setups

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    Peer reviewed article (146.1Kb)
    Date
    2007
    Author
    Yildirim, Mehmet Bayram
    Duman, Ekrem
    Krishnan, Krishna K.
    Senniappan, Karthikeyan
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    Abstract
    In this paper, we study the problem of minimizing total completion time with load balancing and sequence dependent setups in a non-identical parallel machine environment. A mathematical model has been presented for the objective of minimizing total completion time with workload balancing constraint. Since this problem is an NP-Hard problem, some simple heuristics and a genetic algorithm are developed for efficient scheduling of resources. The heuristics and genetic algorithm are tested on random data.
    Description
    This is the author's version of the work. It is posted here by permission for personal use, not for redistribution. The definitive version was published in International Journal of Operations Research Vol. 4, No. 1, 1-8 (2007)
    URI
    http://hdl.handle.net/10057/3437
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