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Information Journal Paper

Title

FUZZY PROGRAMMING FOR PARALLEL MACHINES SCHEDULING: MINIMIZING WEIGHTED TARDINESS/EARLINESS AND FLOW TIME THROUGH GENETIC ALGORITHM

Pages

  61-73

Abstract

 Appropriate scheduling and sequencing of tasks on machines is one of the basic and significant problems that a shop or a factory manager encounters; this is why in recent decades extensive studies have been done on scheduling issues. One type of scheduling problems is justin-time (JIT) scheduling and in this area, motivated by JIT manufacturing, this study investigates a mathematical model for appraising a multi-objective programing that minimize total weighted tardiness, earliness and total flowtime with fuzzy parameters on parallel machines, simultaneously with respect to the impact of machine deterioration. Besides, in this paper attempted to present a defuzzification approach and a heuristic method based on GENETIC ALGORITHM (GA) to solve the proposed model. Finally, several dominant properties of optimal solutions are demonstrated in comparison with the results of a state-of-the-art commercial solver and the simulated annealing method that is followed by illustrating some instances for indicating validity and efficiency of the method.

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    Cite

    APA: Copy

    ASGHARI, MOHAMMAD, & NEZHADALI, SAMANEH. (2014). FUZZY PROGRAMMING FOR PARALLEL MACHINES SCHEDULING: MINIMIZING WEIGHTED TARDINESS/EARLINESS AND FLOW TIME THROUGH GENETIC ALGORITHM. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), 8(1 (14)), 61-73. SID. https://sid.ir/paper/632293/en

    Vancouver: Copy

    ASGHARI MOHAMMAD, NEZHADALI SAMANEH. FUZZY PROGRAMMING FOR PARALLEL MACHINES SCHEDULING: MINIMIZING WEIGHTED TARDINESS/EARLINESS AND FLOW TIME THROUGH GENETIC ALGORITHM. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2014;8(1 (14)):61-73. Available from: https://sid.ir/paper/632293/en

    IEEE: Copy

    MOHAMMAD ASGHARI, and SAMANEH NEZHADALI, “FUZZY PROGRAMMING FOR PARALLEL MACHINES SCHEDULING: MINIMIZING WEIGHTED TARDINESS/EARLINESS AND FLOW TIME THROUGH GENETIC ALGORITHM,” JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. 8, no. 1 (14), pp. 61–73, 2014, [Online]. Available: https://sid.ir/paper/632293/en

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