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The Single Machine Early/Tardy Problem

Published: 01 February 1989 Publication History
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  • Abstract

    We examine the problem of scheduling a given set of jobs on a single machine to minimize total early and tardy costs. Two dispatch priority rules are proposed and tested for this NP-complete problem. These were found to perform far better than known heuristics that ignored early costs. For situations where the potential cost savings are sufficiently high to justify more sophisticated techniques, we propose a variation of the Beam Search method developed by researchers in artificial intelligence. This variant, called Filtered Beam Search, is able to use priority functions to search a number of solution paths in parallel. A computational study showed that this search method was not only efficient but also consistent in providing near-optimal solutions with a relatively small search tree. The study also includes an investigation of the impacts of Beam Search parameters on three variations of Beam Search for this problem.

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    Cited By

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    • (2019)Improved Job Sequencing Bounds from Decision DiagramsPrinciples and Practice of Constraint Programming10.1007/978-3-030-30048-7_16(268-283)Online publication date: 30-Sep-2019
    • (2018)Frame Trolley Dispatching Algorithm for the Frame Bridge Based Automated Container TerminalTransportation Science10.1287/trsc.2017.081552:3(722-737)Online publication date: 1-Jun-2018
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    Published In

    cover image Management Science
    Management Science  Volume 35, Issue 2
    February 1989
    131 pages

    Publisher

    INFORMS

    Linthicum, MD, United States

    Publication History

    Published: 01 February 1989

    Author Tags

    1. deterministic job shop
    2. production/scheduling
    3. single stage

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    • (2024)Genetic algorithm with normal boundary intersection for multi-objective early/tardy scheduling problem with carbon-emission consideration: a Pareto-optimum solutionNeural Computing and Applications10.1007/s00521-023-09146-z36:5(2493-2506)Online publication date: 1-Feb-2024
    • (2019)Improved Job Sequencing Bounds from Decision DiagramsPrinciples and Practice of Constraint Programming10.1007/978-3-030-30048-7_16(268-283)Online publication date: 30-Sep-2019
    • (2018)Frame Trolley Dispatching Algorithm for the Frame Bridge Based Automated Container TerminalTransportation Science10.1287/trsc.2017.081552:3(722-737)Online publication date: 1-Jun-2018
    • (2017)Hybrid Genetic Bees Algorithm applied to single machine scheduling with earliness and tardiness penaltiesComputers and Industrial Engineering10.1016/j.cie.2017.07.018113:C(842-858)Online publication date: 1-Nov-2017
    • (2016)Metaheuristics for the single machine weighted quadratic tardiness scheduling problemComputers and Operations Research10.1016/j.cor.2016.01.00470:C(115-126)Online publication date: 1-Jun-2016
    • (2013)Exact and heuristic procedures for single machine scheduling with quadratic earliness and tardiness penaltiesComputers and Operations Research10.1016/j.cor.2013.01.01940:7(1819-1828)Online publication date: 1-Jul-2013
    • (2012)Earliness---tardiness minimization on a single machine to schedule preventive maintenance tasksJournal of Intelligent Manufacturing10.1007/s10845-010-0425-023:4(1207-1224)Online publication date: 1-Aug-2012
    • (2010)Guidelines for developing effective Estimation of Distribution Algorithms in solving single machine scheduling problemsExpert Systems with Applications: An International Journal10.1016/j.eswa.2010.02.07337:9(6441-6451)Online publication date: 1-Sep-2010
    • (2009)Optimizing i/o-intensive transactions in highly interactive applicationsProceedings of the 2009 ACM SIGMOD International Conference on Management of data10.1145/1559845.1559927(785-798)Online publication date: 29-Jun-2009
    • (2009)A Hybrid Electromagnetism-Like Algorithm for Single Machine Scheduling ProblemProceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence10.1007/978-3-540-74205-0_59(543-552)Online publication date: 17-Nov-2009
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