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dc.contributor.authorFırat, H. and Alpaslan, N.
dc.date.accessioned2021-04-08T12:06:13Z
dc.date.available2021-04-08T12:06:13Z
dc.date.issued2020
dc.identifier10.1016/j.cie.2020.106687
dc.identifier.issn03608352
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85088638308&doi=10.1016%2fj.cie.2020.106687&partnerID=40&md5=f632a68fb715882273748db3f3bad8dc
dc.identifier.urihttp://acikerisim.bingol.edu.tr/handle/20.500.12898/3863
dc.description.abstractThe rectangle packing area minimization problem (RPAMP) has a wide range of applications in industry. The purpose of RPAMP is to ensure maximum use of the materials used in industries and minimize the trim loss. The yield from materials is significant issue. Because a small change in placement can result in a significant reduction in production costs and material savings. In this study, 2D-RPAMP, which is widely seen in the manufacturing industry, has been investigated. The solution approaches have been developed by using heuristic methods such as no-fit polygon and bottom-left fill and metaheuristic method such as Simulated Annealing (SA). In experimental studies, the bottom-left fill method is used for the placement process, no-fit polygon method is used in order to avoid overlapping between the parts placed, and the SA algorithm is employed for the faster and efficient packing process. As a result of experiments using the hybrid methodology consisting of the SA algorithm can reach reasonable level of the trim loss varies that is between 0,21% and 9,1% for most industry. The experimental results show the efficiency of the packing process with hybrid methodology. © 2020 Elsevier Ltd
dc.language.isoEnglish
dc.sourceComputers and Industrial Engineering
dc.titleAn effective approach to the two-dimensional rectangular packing problem in the manufacturing industry


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