Particle swarm optimization for bi-level pricing problems in supply chains

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dc.contributor.author Gao, Ya en_US
dc.contributor.author Zhang, Guangquan en_US
dc.contributor.author Lu, Jie en_US
dc.contributor.author Wee, Hui-Ming en_US
dc.contributor.editor en_US
dc.date.accessioned 2012-10-12T03:32:48Z
dc.date.available 2012-10-12T03:32:48Z
dc.date.issued 2011 en_US
dc.identifier 2011001001 en_US
dc.identifier.citation Gao Ya et al. 2011, 'Particle swarm optimization for bi-level pricing problems in supply chains', Springer New York LLC, vol. 51, no. 2, pp. 245-254. en_US
dc.identifier.issn 0925-5001 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/17944
dc.description.abstract With rapid technological innovation and strong competition in hi-tech industries such as computer and communication organizations, the upstream component price and the downstream product cost usually decline significantly with time. As a result, an effective pricing supply chain model is very important. This paper first establishes two bi-level pricing models for pricing problems with the buyer and the vendor in a supply chain designated as the leader and the follower, respectively. A particle swarm optimization (PSO) based algorithm is developed to solve problems defined by these bi-level pricing models. Experiments illustrate that this PSO based algorithm can achieve a profit increase for buyers or vendors if they are treated as the leaders under some situations, compared with the existing methods. en_US
dc.language English en_US
dc.publisher Springer New York LLC en_US
dc.relation.hasversion Accepted manuscript version
dc.relation.isbasedon http://dx.doi.org/10.1007/s10898-010-9595-8 en_US
dc.title Particle swarm optimization for bi-level pricing problems in supply chains en_US
dc.parent Journal Of Global Optimization en_US
dc.journal.volume 51 en_US
dc.journal.number 2 en_US
dc.publocation United States en_US
dc.identifier.startpage 245 en_US
dc.identifier.endpage 254 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.for 010200 en_US
dc.personcode 102497 en_US
dc.personcode 020014 en_US
dc.personcode 001038 en_US
dc.personcode 0000059179 en_US
dc.percentage 34 en_US
dc.classification.name Applied Mathematics en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords Two-stage supply chain, Bi-level programming, Hierarchical decision-making, Optimization, Particle swarm optimization en_US
dc.staffid en_US


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