Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ejor.2006.11.017
DC FieldValue
dc.titleDynamic lot-sizing model for major and minor demands
dc.contributor.authorHwang, H.-C.
dc.contributor.authorJaruphongsa, W.
dc.date.accessioned2014-10-07T10:23:13Z
dc.date.available2014-10-07T10:23:13Z
dc.date.issued2008-01-16
dc.identifier.citationHwang, H.-C., Jaruphongsa, W. (2008-01-16). Dynamic lot-sizing model for major and minor demands. European Journal of Operational Research 184 (2) : 711-724. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ejor.2006.11.017
dc.identifier.issn03772217
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/87008
dc.description.abstractThis paper deals with a lot-sizing model for major and minor demands in which major demands are specified by time windows while minor demands are given by periods. For major demands, the agreeable time window structure is assumed where each time window is not strictly nested in any other time windows. To incorporate the economy of scale of large production quantity, especially from major demands, concave cost structure in production must be considered. Investigating the optimality properties, we propose optimal solution procedures based on dynamic program. For a simple case when only major demands exist, we propose an optimal procedure with running time of O (n2 T) where n is the number of demands and T is the length of the planning horizon. Extending the algorithm to the model with major and minor demands, we propose an algorithm with complexity O (n2 T2). © 2006 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.ejor.2006.11.017
dc.sourceScopus
dc.subjectAgreeable time windows
dc.subjectDynamic programming
dc.subjectLot-sizing
dc.subjectMajor/minor demands
dc.subjectProduction
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.doi10.1016/j.ejor.2006.11.017
dc.description.sourcetitleEuropean Journal of Operational Research
dc.description.volume184
dc.description.issue2
dc.description.page711-724
dc.description.codenEJORD
dc.identifier.isiut000250078100022
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