Abstract
Flexible manufacturing system is the inception of an innovative manufacturing revolution that will credibly lead the manufacturing trade to levels of automation which is to be taken granted currently in the process-related industries. This paper speaks about multi-objective optimization related to flexible manufacturing systems (FMS) scheduling which act as a constraint in configuring the loop layout in optimum manner by various algorithms, i.e., meta-heuristics like genetic algorithm (GA), simulated annealing (SA), etc. The various loop layout problems are tested for enactment of objective function with respect to computational time and number of iterations involved in GA and SA. A simulation code is generated using programming language and executed using integrated development environment (IDE) tool. A comparative analysis of simulation results of different meta-heuristics with literature results has been done. The performance of this GA is proved to be the best among all the algorithms considered for this work.
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Mallikarjuna, K., Veeranna, V. & Reddy, K.H. A new meta-heuristics for optimum design of loop layout in flexible manufacturing system with integrated scheduling. Int J Adv Manuf Technol 84, 1841–1860 (2016). https://doi.org/10.1007/s00170-015-7715-9
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DOI: https://doi.org/10.1007/s00170-015-7715-9