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    Optimization Based Job Shop Scheduling

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    TR_91-9.pdf (961.9Kb)
    No. of downloads: 773

    Date
    1991
    Author
    Musser, K.L.
    Dhingra, Jastej S.
    Blankenehip, Gilmer L.
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    Abstract
    A generalized job shop scheduling problem is defined in detail. The proposed factory description is sufficiently realistic to model the routing and sequencing decisions made in a real manufacturing plant. An optimization problem is posed, permitting the use of very general cost functions. A variation of the method of simulated annealing is proposed as a tool for the solution of the optimization problem. A novel technique for embedding the space of feasible schedules into a permutation group is used to define a neighborhood structure for the simulated annealing process. This technique has algorithmic advantages over working directly in the space of schedules. These ideas were used to construct a scheduling software system which is in use at a Texas Instruments Custom Manufacturing Unit. We give a brief description of the software system, called ABES for Annealing Based Experiment in Scheduling, and comment on its effectiveness.
    URI
    http://hdl.handle.net/1903/5057
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