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Article: A mathematical programming approach towards optimized master production scheduling

TitleA mathematical programming approach towards optimized master production scheduling
Authors
Issue Date1995
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/ijpe
Citation
International Journal Of Production Economics, 1995, v. 38 n. 2-3, p. 269-279 How to Cite?
AbstractThe conventional material requirements planning (MRP) and master production scheduling (MPS) systems have gained wide acceptance among production management and control. In this paper, we consider further an aggregate optimization model for the usual MRP/MPS. That is, under a realistic assumption that the availability of material accumulates over time, we seek an optimal production schedule for most profitable operation subject to various capacity constraints. To this end, linear programming formulations are given for various levels of model complexity, ranging from a basic product-mix problem to a global aggregate production planning problem. We examine stage-wise decomposition from the point of view of practical computational feasibility and study the robustness of this decomposition. Finally, simplified numerical results are provided as illustrations. © 1995.
Persistent Identifierhttp://hdl.handle.net/10722/156036
ISSN
2015 Impact Factor: 2.782
2015 SCImago Journal Rankings: 2.749
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChu, SCKen_US
dc.date.accessioned2012-08-08T08:40:08Z-
dc.date.available2012-08-08T08:40:08Z-
dc.date.issued1995en_US
dc.identifier.citationInternational Journal Of Production Economics, 1995, v. 38 n. 2-3, p. 269-279en_US
dc.identifier.issn0925-5273en_US
dc.identifier.urihttp://hdl.handle.net/10722/156036-
dc.description.abstractThe conventional material requirements planning (MRP) and master production scheduling (MPS) systems have gained wide acceptance among production management and control. In this paper, we consider further an aggregate optimization model for the usual MRP/MPS. That is, under a realistic assumption that the availability of material accumulates over time, we seek an optimal production schedule for most profitable operation subject to various capacity constraints. To this end, linear programming formulations are given for various levels of model complexity, ranging from a basic product-mix problem to a global aggregate production planning problem. We examine stage-wise decomposition from the point of view of practical computational feasibility and study the robustness of this decomposition. Finally, simplified numerical results are provided as illustrations. © 1995.en_US
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/ijpeen_US
dc.relation.ispartofInternational Journal of Production Economicsen_US
dc.titleA mathematical programming approach towards optimized master production schedulingen_US
dc.typeArticleen_US
dc.identifier.emailChu, SCK:schu@hkucc.hku.hken_US
dc.identifier.authorityChu, SCK=rp00685en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/0925-5273(95)00015-G-
dc.identifier.scopuseid_2-s2.0-0001554098en_US
dc.identifier.hkuros10681-
dc.identifier.volume38en_US
dc.identifier.issue2-3en_US
dc.identifier.spage269en_US
dc.identifier.epage279en_US
dc.identifier.isiWOS:A1995RG65500014-
dc.publisher.placeNetherlandsen_US
dc.identifier.scopusauthoridChu, SCK=7403619384en_US

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