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Sustainability 2018, 10(1), 42; doi:10.3390/su10010042

Sustainability Formation of Machine Cells in Group Technology Systems Using Modified Artificial Bee Colony Algorithm

1
Department of Mechanical Engineering, Dhaanish Ahmed College of Engineering, Chennai 601301, India
2
Faculty of Mechanical Engineering, Kalasalingam University, Krishnankovil 626126, India
3
Department of Mechanical Engineering, KCG College of Technology, Chennai 600097, India
4
Institute of Production Engineering, Cracow University of Technology, 31-155 Krakow, Poland
5
Department of Mechanical Engineering, Indian Institute of Technology Indore, Simrol, Indore 453552, India
*
Author to whom correspondence should be addressed.
Received: 24 November 2017 / Revised: 15 December 2017 / Accepted: 20 December 2017 / Published: 28 December 2017
(This article belongs to the Section Sustainable Engineering and Science)
View Full-Text   |   Download PDF [3040 KB, uploaded 28 December 2017]   |  

Abstract

The efficiency and sustainability of a cellular manufacturing system (CMS) in batch type manufacturing is highly valued. This is done using a systematic method of equipment into machine cells, and components into part families, based on the suitable similar criteria. The present work discusses the cell formation problem, with the objective of minimizing the cumulative cell load variation and cumulative intercellular moves. The quantity of parts, operation sequences, processing time, capacity of machines, and workload of machineries were considered as parameters. For the grouping of equipment, the modified artificial bee colony (MABC) algorithm is considered. The computational procedure of this approach is explained by using up to 40 machines and 100 part types. The result obtained from MABC is compared with the findings acquired from the genetic algorithm (GA) and ant colony system (ACS) in the literature. View Full-Text
Keywords: cellular manufacturing system; sustainability; modified artificial bee colony algorithm; intercellular moves; cell load variation cellular manufacturing system; sustainability; modified artificial bee colony algorithm; intercellular moves; cell load variation
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Arunagiri, A.; Marimuthu, U.; Gopalakrishnan, P.; Slota, A.; Zajac, J.; Paulraj, M.P. Sustainability Formation of Machine Cells in Group Technology Systems Using Modified Artificial Bee Colony Algorithm. Sustainability 2018, 10, 42.

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