dc.contributor.author | Kucukkoc, Ibrahim | |
dc.contributor.author | Zhang, David Z. | |
dc.date.accessioned | 2014-08-26T15:03:12Z | |
dc.date.issued | 2014-01-31 | |
dc.description.abstract | Growing interests from customers in customised products and increasing competitions among peers necessitate companies to configure their manufacturing systems more effectively than ever before. We propose a new assembly line system configuration for companies that need intelligent solutions to satisfy customised demands on time with existing resources. A mixed-model parallel two-sided assembly line system is introduced based on the parallel two-sided assembly line system previously proposed by Ozcan et al. (Balancing parallel two-sided assembly lines, International Journal of Production Research, 48 (16), 4767-4784, 2010). The mixed-model parallel two-sided assembly line balancing problem is illustrated with examples from the perspective of simultaneous balancing and sequencing. An agent based ant colony optimisation algorithm is proposed to solve the problem. This algorithm is the first attempt in the literature to solve an assembly line balancing problem with an agent based ant colony optimisation approach. The algorithm is illustrated with an example and its operational procedures and principles explained and discussed. | en_GB |
dc.identifier.citation | Vol. 52 No. 12, pp. 3665-3687 | en_GB |
dc.identifier.doi | 10.1080/00207543.2013.879618 | |
dc.identifier.uri | http://hdl.handle.net/10871/15381 | |
dc.language.iso | en | en_GB |
dc.publisher | Taylor & Francis | en_GB |
dc.rights.embargoreason | Publisher policy | en_GB |
dc.subject | mixed-model parallel two-sided assembly lines | en_GB |
dc.subject | assembly line balancing | en_GB |
dc.subject | agent based ant colony optimisation | en_GB |
dc.subject | meta-heuristics | en_GB |
dc.subject | artificial intelligence | en_GB |
dc.title | Simultaneous balancing and sequencing of mixed-model parallel two-sided assembly lines | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2015-01-31T04:00:10Z | |
dc.identifier.issn | 0020-7543 | |
dc.description | Copyright © 2014 Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 31 January 2014, available online: http://www.tandfonline.com/10.1080/00207543.2013.879618 | en_GB |
dc.identifier.eissn | 1366-588X | |
dc.identifier.journal | International Journal of Production Research | en_GB |