Sustainability formation of machine cells in group technology systems using modified artificial bee colony algorithm
Authors:
- Adinarayanan Arunagiri,
- Uthayakumar Marimuthu,
- Prabhakaran Gopalakrishnan,
- Adam Słota,
- Jerzy Zając,
- Maheandera Prabu Paulraj
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.
- Record ID
- CUT636f9401b45a4e80973837e832808bc3
- Publication categories
- ;
- Author
- Journal series
- Sustainability, ISSN , e-ISSN 2071-1050, Biweekly
- Issue year
- 2018
- Vol
- 10
- No
- 1
- Pages
- [1-21]
- Other elements of collation
- tab.; wykr.; Bibliografia (na s.) - 19-21; Bibliografia (liczba pozycji) - 47; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 10, Iss. 1
- Keywords in English
- cellular manufacturing system, sustainability, modified artificial bee colony algorithm, intercellular moves, cell load variation
- DOI
- DOI:10.3390/su10010042 Opening in a new tab
- URL
- http://www.mdpi.com/2071-1050/10/1/42 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 20
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT636f9401b45a4e80973837e832808bc3/
- URN
urn:pkr-prod:CUT636f9401b45a4e80973837e832808bc3
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.