2015
DOI: 10.1007/s00170-015-7715-9
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A new meta-heuristics for optimum design of loop layout in flexible manufacturing system with integrated scheduling

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Cited by 14 publications
(6 citation statements)
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“…In the proposed MEIFM problem, different from the previous literature [11,13,19], this paper considers flexible processing routes of jobs and unequal-area machines concurrently, which embodies a strong interaction between FJSSP and MRWLP. In addition, both FJSSP and MRWLP have independent objectives.…”
Section: Literature Review On Solution Strategiesmentioning
confidence: 99%
See 1 more Smart Citation
“…In the proposed MEIFM problem, different from the previous literature [11,13,19], this paper considers flexible processing routes of jobs and unequal-area machines concurrently, which embodies a strong interaction between FJSSP and MRWLP. In addition, both FJSSP and MRWLP have independent objectives.…”
Section: Literature Review On Solution Strategiesmentioning
confidence: 99%
“…Ripon et al [11,12] developed a multi-objective mathematical model for integrated job shop scheduling and the facility layout planning problem that considers makespan, mean flow time, material handling cost, and closeness rating score simultaneously. Mallikarjuna [13] proposed a flexible batch scheduling problem which was integrated with loop layout pattern design, and applied the genetic algorithm (GA) and simulated annealing algorithm (SA) to solve the problem for minimizing makespan and transportation cost. Liu et al [14] studied an integrated optimization problem of workshop layout and scheduling considering energy consumption to minimize makespan and carbon emission simultaneously, in which they proposed a multi-objective fruit fly optimization algorithm to solve the problem.…”
mentioning
confidence: 99%
“…Ripon and Torresen (2014) established a multi-objective mathematical model for integrated job shop scheduling and the facility layout planning problem that considers makespan, mean flow time, total material handling cost and closeness rating scores. Mallikarjuna et al (2015) proposed a flexible batch scheduling problem which was integrated with loop layout pattern design, and the optimization objectives were completion time and transportation cost.…”
Section: Introductionmentioning
confidence: 99%
“…Various methods have been used to optimize the production performance, and many algorithms, such as genetic algorithms (GAs), artificial bee colony algorithms, and simulated annealing, have been developed to optimize workshop performance [4][5][6][7]. However, Zhang et al [3] pointed out that it was difficult for these algorithms to address more realistic dynamic problems with uncertain parameters.…”
Section: Introductionmentioning
confidence: 99%