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

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ASGHARI MOHAMMAD; NEZHADALI SAMANEH

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Journal: JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING) Year:2016 | Volume:9 | Issue:20 Page(s): 19-30

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Title

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

Author(s)

ASGHARI MOHAMMAD | NEZHADALI SAMANEH | Issue Writer Certificate

Keywords

MATHEMATICAL OPTIMIZATION

FUZZY MULTI-OBJECTIVE MODEL

PARALLEL MACHINES SCHEDULING

WEIGHTED TARDINESS/EARLINESS

GENETIC ALGORITHM

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 researches have been done on scheduling issues. A 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 flow time with fuzzy parameters on parallel machines, simultaneously with respect to the impact of machine deterioration. Besides, in this paper, attempts are made to present a defuzzification approach and a heuristic method based GENETIC ALGORITHM (GA) to solve the proposed model. Finally, several dominance 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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APA: Copy

ASGHARI, MOHAMMAD, & NEZHADALI, SAMANEH. (2016). 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), 9(20), 19-30. SID. https://sid.ir/paper/691760/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]. 2016;9(20):19-30. Available from: https://sid.ir/paper/691760/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. 9, no. 20, pp. 19–30, 2016, [Online]. Available: https://sid.ir/paper/691760/en

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