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    Parallel-machine scheduling with load-balancing and sequence-dependent setups

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    Thesis (227.9Kb)
    Date
    2006-12
    Author
    Senniappan, Karthikeyan
    Advisor
    Yildirim, Mehmet Bayram
    Metadata
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    Abstract
    In many practical manufacturing environments, setups consume a significant amount of industrial resources. Therefore, reducing setups in a non-identical parallel machine environment will significantly enhance a company's performance level. In this thesis, the problem of minimizing total completion time with load balancing and sequence-dependent setups in a non-identical parallel machine environment was studied. A mathematical model for minimizing total completion time with a workload-balancing constraint is presented. Since this problem is an NP-hard problem, some simple heuristics and a genetic algorithm were developed for efficient scheduling of resources. Both were tested on random data.
    Description
    Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Industrial and Manufacturing Engineering

    "December 2006."
    URI
    http://hdl.handle.net/10057/679
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