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Information Journal Paper

Title

A HEURISTIC APPROACH BASED ON TABU SEARCH FOR EARLY/TARDY FLEXIBLE JOB SHOP PROBLEMS

Pages

  1-13

Keywords

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Abstract

 This paper addresses minimizing Total Weighted Earliness/Tardiness (TWET) of jobs in a Flexible Job Shop (FJS) problem. The FJS problem is an extension of the classical Job Shop (JS) problem that implies each operation may be assigned to alternative available machines. So, a job may have alternative routing. The FJS problem with a TWET criterion is modeled as a mixed integer programming. The model is proven to be Np-complete. To solve the model, an algorithm, based on a Tabu Search approach (TS), is developed. The proposed algorithm employs TS to find the best routing of each job and a backward procedure to operations scheduling. Two neighboring functions are designed and their effect is investigated on the performance. The numerical experiments show the suggested algorithm efficiently solves the model in a reasonable CPU time.    

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    APA: Copy

    IMANIPOUR, N., & ZEGORDI, S.H.A.D.. (2006). A HEURISTIC APPROACH BASED ON TABU SEARCH FOR EARLY/TARDY FLEXIBLE JOB SHOP PROBLEMS. SCIENTIA IRANICA, 13(1), 1-13. SID. https://sid.ir/paper/289324/en

    Vancouver: Copy

    IMANIPOUR N., ZEGORDI S.H.A.D.. A HEURISTIC APPROACH BASED ON TABU SEARCH FOR EARLY/TARDY FLEXIBLE JOB SHOP PROBLEMS. SCIENTIA IRANICA[Internet]. 2006;13(1):1-13. Available from: https://sid.ir/paper/289324/en

    IEEE: Copy

    N. IMANIPOUR, and S.H.A.D. ZEGORDI, “A HEURISTIC APPROACH BASED ON TABU SEARCH FOR EARLY/TARDY FLEXIBLE JOB SHOP PROBLEMS,” SCIENTIA IRANICA, vol. 13, no. 1, pp. 1–13, 2006, [Online]. Available: https://sid.ir/paper/289324/en

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