A chance constraint based multi-item production planning model using simulation optimization
dc.contributor.author | Albey, Erinç | |
dc.contributor.author | Uzsoy, R. | |
dc.contributor.author | Kempf, K. G. | |
dc.date.accessioned | 2017-06-17T13:54:21Z | |
dc.date.available | 2017-06-17T13:54:21Z | |
dc.date.issued | 2016 | |
dc.identifier.isbn | 978-1-5090-4486-3 | |
dc.identifier.uri | http://ieeexplore.ieee.org/document/7822309/ | |
dc.identifier.uri | http://hdl.handle.net/10679/5351 | |
dc.description | Due to copyright restrictions, the access to the full text of this article is only available via subscription. | |
dc.description.abstract | We consider a single stage multi-item production-inventory system under stochastic demand. We had previously proposed a production planning model integrating ideas from forecast evolution and inventory theory to plan work releases into a production facility in the face of stochastic demand. However, this model is tractable only if the capacity allocations are exogenous. This paper determines the capacity allocated to each product in each period using a genetic algorithm. Computational experiments reveal that the proposed algorithm outperforms the previous approach in both total cost and service level. | |
dc.description.sponsorship | National Science Foundation ; TÜBİTAK. | |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.relation | info:turkey/grantAgreement/TUBITAK/2232 | |
dc.relation.ispartof | Winter Simulation Conference (WSC), 2016 | |
dc.rights | restrictedAccess | |
dc.title | A chance constraint based multi-item production planning model using simulation optimization | en_US |
dc.type | Conference paper | en_US |
dc.peerreviewed | yes | |
dc.publicationstatus | published | en_US |
dc.contributor.department | Özyeğin University | |
dc.contributor.authorID | (ORCID 0000-0001-5004-0578 & YÖK ID 144710) Albey, Erinç | |
dc.contributor.ozuauthor | Albey, Erinç | |
dc.identifier.startpage | 2719 | |
dc.identifier.endpage | 2730 | |
dc.identifier.wos | WOS:000399152503009 | |
dc.identifier.doi | 10.1109/WSC.2016.7822309 | |
dc.subject.keywords | Semiconductor industry | |
dc.subject.keywords | Scheduling models | |
dc.subject.keywords | Evolution | |
dc.subject.keywords | Systems | |
dc.identifier.scopus | SCOPUS:2-s2.0-85014277963 | |
dc.contributor.authorMale | 1 | |
dc.relation.publicationcategory | Conference Paper - International - Institutional Academic Staff |
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