Role of batch size in scheduling optimization of flexible manufacturing system using genetic algorithm
نویسندگان
چکیده
منابع مشابه
Scheduling of flexible manufacturing systems using genetic algorithm: A heuristic approach
Scheduling of production in Flexible Manufacturing Systems (FMSs) has been extensively investigated over the past years and it continues to attract the interest of both academic researchers and practitioners. The generation of new and modified production schedules is becoming a necessity in today’s complex manufacturing environment. Genetic algorithms are used in this paper to obtain an initial...
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The static and analytic scheduling approach is very difficult to follow and is not always applicable in real-time. Most of the scheduling algorithms are designed to be established in offline environment. However, we are challenged with three characteristics in real cases: First, problem data of jobs are not known in advance. Second, most of the shop’s parameters tend to be stochastic. Third, th...
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Flexible manufacturing system (FMS) scheduling is one of the most trusted and complicated task in machine scheduling. It is strongly Non polynomial complete combinatorial problem. FMS is agile and flexible which is well suited for simultaneous production of a wide variety of product mix in low volumes. Meta-heuristic approaches such as genetic algorithm, simulated annealing etc. are widely appl...
متن کاملscheduling of flexible manufacturing systems using genetic algorithm: a heuristic approach
scheduling of production in flexible manufacturing systems (fmss) has been extensively investigated over the past years and it continues to attract the interest of both academic researchers and practitioners. the generation of new and modified production schedules is becoming a necessity in today’s complex manufacturing environment. genetic algorithms are used in this paper to obtain an initial...
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ژورنال
عنوان ژورنال: Journal of Industrial Engineering International
سال: 2018
ISSN: 1735-5702,2251-712X
DOI: 10.1007/s40092-018-0278-2