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An efficient algorithm for a job shop problem
Authors:Wieslaw Kubiak  Suresh Sethi  Chelliah Sriskandarajah
Affiliation:(1) Faculty of Business Administration, Memorial University of Newfoundland, St. John's, Newfoundland, Canada;(2) Faculty of Management, University of Toronto, Toronto, Ontario, Canada;(3) Department of Industrial Engineering, University of Toronto, Toronto, Ontario, Canada
Abstract:We study the problem of minimizing makespan in a two-machine job shop with unit processing time operations. An efficient algorithm with respect to a succinct encoding of the problem instances is proposed. The algorithm is an improvement of earlier algorithms proposed for the problem by Brucker [1,2], Hefetz and Adiri [7], and Timkovskiy [15]. The idea behind the algorithm has the potential of extension to job shops with parallel machines.This research is supported in part by NSERC Grants A4619, OGP0105675, OGP0104900, General Motors of Canada, and the Manufacturing Research Corporation of Ontario.
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