Solving FMS Assignment Problem with Grouping Genetic Algorithm

Autor:	M.H.M.A. Jahromi, R. Jafari, A. Shamsi
Jazyk:	angličtina
Rok vydání:	2012
Předmět:	flexible manufacturing systems machine-tool selection multi-objective optimization grouping genetic algorithm (gga) Industrial engineering. Management engineering T55.4-60.8
Zdroj:	International Journal of Research in Industrial Engineering, Vol 1, Iss 3, Pp 60-68 (2012)
Druh dokumentu:	article
ISSN:	2783-1337 2717-2937
Popis:	Operations assignment to feasible and suitable machine-tool combination affects the total production costs and selecting the best combinations is important for these systems, this is one of the significant problems in flexible manufacturing systems (FMSs). In this paper, minimizing the machining cost, setup cost and material handling cost for the given multi-objective problem is considered. Also, this problem is solved with a grouping genetic algorithm and the associated results are presented.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/af6ae820d3694b0d9b4865000c199bd4 Zobrazit plný text záznamu View record in DOAJ