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Article: Optimal supplier selection and order allocation for multi-period multi-product manufacturing incorporating customer flexibility

TitleOptimal supplier selection and order allocation for multi-period multi-product manufacturing incorporating customer flexibility
Authors
KeywordsConstraint Programming
Customer Flexibility
Simulated Annealing
Supplier Selection
Issue Date2011
PublisherInternational Association of Engineers. The Journal's web site is located at http://www.engineeringletters.com/
Citation
Engineering Letters, 2011, v. 19 n. 4 How to Cite?
AbstractEffective and efficient supplier selection and order allocation are essential for a manufacturer to ensure stable material flows in a highly flexible and competitive supply chain. This paper attempts to solve the problem of optimal supplier selection and order allocation for multi-period multi-product manufacturing when customer flexibility exists. A new mathematical model in the form of a mixed integer programming (MIP) model is developed to describe the characteristics of the problem. The objective is to maximize the manufacturer's profit subject to the various operating constraints of the supply chain. In addition, a new hybrid algorithm based on the strengths of constraint programming (CP) and simulated annealing (SA) is developed to solve this complex combinatorial optimization problem which is NP-hard. The developed algorithm is applied to solve a set of randomly generated test problems to evaluate its performance. Comparison of the computational results obtained with those obtained by using the commercial software ILOG OPL clearly shows that the methodology developed in this paper is an effective and efficient approach to assist the manufacturer in formulating optimal supplier selection and order allocation decisions.
Persistent Identifierhttp://hdl.handle.net/10722/155951
ISSN
2015 SCImago Journal Rankings: 0.241
References

 

DC FieldValueLanguage
dc.contributor.authorMak, KLen_US
dc.contributor.authorCui, LXen_US
dc.contributor.authorSu, Wen_US
dc.date.accessioned2012-08-08T08:38:34Z-
dc.date.available2012-08-08T08:38:34Z-
dc.date.issued2011en_US
dc.identifier.citationEngineering Letters, 2011, v. 19 n. 4en_US
dc.identifier.issn1816-093Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/155951-
dc.description.abstractEffective and efficient supplier selection and order allocation are essential for a manufacturer to ensure stable material flows in a highly flexible and competitive supply chain. This paper attempts to solve the problem of optimal supplier selection and order allocation for multi-period multi-product manufacturing when customer flexibility exists. A new mathematical model in the form of a mixed integer programming (MIP) model is developed to describe the characteristics of the problem. The objective is to maximize the manufacturer's profit subject to the various operating constraints of the supply chain. In addition, a new hybrid algorithm based on the strengths of constraint programming (CP) and simulated annealing (SA) is developed to solve this complex combinatorial optimization problem which is NP-hard. The developed algorithm is applied to solve a set of randomly generated test problems to evaluate its performance. Comparison of the computational results obtained with those obtained by using the commercial software ILOG OPL clearly shows that the methodology developed in this paper is an effective and efficient approach to assist the manufacturer in formulating optimal supplier selection and order allocation decisions.en_US
dc.languageengen_US
dc.publisherInternational Association of Engineers. The Journal's web site is located at http://www.engineeringletters.com/en_US
dc.relation.ispartofEngineering Lettersen_US
dc.subjectConstraint Programmingen_US
dc.subjectCustomer Flexibilityen_US
dc.subjectSimulated Annealingen_US
dc.subjectSupplier Selectionen_US
dc.titleOptimal supplier selection and order allocation for multi-period multi-product manufacturing incorporating customer flexibilityen_US
dc.typeArticleen_US
dc.identifier.emailMak, KL:makkl@hkucc.hku.hken_US
dc.identifier.authorityMak, KL=rp00154en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-81155138908en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-81155138908&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume19en_US
dc.identifier.issue4en_US
dc.publisher.placeHong Kongen_US
dc.identifier.scopusauthoridMak, KL=7102680226en_US
dc.identifier.scopusauthoridCui, LX=54383177700en_US
dc.identifier.scopusauthoridSu, W=36618258400en_US

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