A Fuzzy Bi-level Pricing Model and a PSO Based Algorithm in Supply Chains

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dc.contributor.author Gao, Y
dc.contributor.author Zhang, G
dc.contributor.author Lu, J
dc.contributor.author Wee, H
dc.contributor.editor Leung, CS
dc.contributor.editor Lee, M
dc.contributor.editor Chan, JH
dc.date.accessioned 2010-05-28T09:59:23Z
dc.date.issued 2009-01
dc.identifier.citation Proceedings of the 16th International Conference on Neural Information Processing: Lecture Notes in Computer Science Vol 5864, 2009, pp. 226 - 233
dc.identifier.isbn 978-3-642-10682-8
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/10764
dc.description.abstract Due to rapid technological innovation and severe competition, the upstream component price and the downstream product cost in hi-tech industries usually decline significantly with time. In building a pricing supply chain model, some coefficients are generally obtained from experiments and cannot be defined as crisp numbers. Thus, an effective fuzzy pricing supply chain model becomes crucial. This paper establishes a fuzzy bi-level pricing model for buyers and vendors in supply chains. Then, a particle swarm optimization (PSO) based algorithm is developed to solve problems defined by this model. Experiments show that this PSO-based algorithm can solve fuzzy bi-level pricing problems effectively.
dc.publisher Springer
dc.relation.isbasedon 10.1007/978-3-642-10684-2_25
dc.subject Two-stage supply chain, bi-level programming, fuzzy set, hierarchical decision-making, optimization, particle swarm optimization
dc.subject Two-stage supply chain, bi-level programming, fuzzy set, hierarchical decision-making, optimization, particle swarm optimization
dc.title A Fuzzy Bi-level Pricing Model and a PSO Based Algorithm in Supply Chains
dc.type Conference Proceeding
dc.parent Proceedings of the 16th International Conference on Neural Information Processing: Lecture Notes in Computer Science Vol 5864
dc.journal.number en_US
dc.publocation New York, USA en_US
dc.publocation New York, USA
dc.publocation New York, USA
dc.publocation New York, USA
dc.identifier.startpage 226 en_US
dc.identifier.endpage 233 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.conference International Conference on Neural Information Processing
dc.conference International Conference on Neural Information Processing
dc.conference International Conference on Neural Information Processing
dc.for 080108 Neural, Evolutionary and Fuzzy Computation
dc.for 080105 Expert Systems
dc.personcode 102497 en_US
dc.personcode 020014 en_US
dc.personcode 001038 en_US
dc.personcode 0000059179 en_US
dc.percentage 50 en_US
dc.classification.name Neural, Evolutionary and Fuzzy Computation en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom International Conference on Neural Information Processing en_US
dc.date.activity 20101201 en_US
dc.date.activity 2010-12-01
dc.date.activity 2010-12-01
dc.date.activity 2010-12-01
dc.location.activity Bangkok, Thailand en_US
dc.location.activity Bangkok, Thailand
dc.location.activity Bangkok, Thailand
dc.location.activity Bangkok, Thailand
dc.description.keywords Two-stage supply chain, bi-level programming, fuzzy set, hierarchical decision-making, optimization, particle swarm optimization en_US
dc.description.keywords Two-stage supply chain, bi-level programming, fuzzy set, hierarchical decision-making, optimization, particle swarm optimization
dc.description.keywords Two-stage supply chain, bi-level programming, fuzzy set, hierarchical decision-making, optimization, particle swarm optimization
dc.description.keywords Two-stage supply chain, bi-level programming, fuzzy set, hierarchical decision-making, optimization, particle swarm optimization
dc.staffid en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems


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