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dc.contributor.authorMikhaylov, Boris-
dc.contributor.authorCerquides, Jesús-
dc.contributor.authorRodríguez-Aguilar, Juan Antonio-
dc.date.accessioned2016-10-20T11:18:52Z-
dc.date.available2016-10-20T11:18:52Z-
dc.date.issued2011-
dc.identifierdoi: 10.1007/978-3-642-25274-7_5-
dc.identifierissn: 0302-9743-
dc.identifier.citationLecture Notes in Computer Science 7023/2011: 42- 53 (2011)-
dc.identifier.urihttp://hdl.handle.net/10261/138277-
dc.description.abstractMixed multi-unit combinatorial auctions (MMUCAs) offer a high potential to be employed for the automated assembly of supply chains of agents. However, in order for mixed auctions to be effectively applied to supply chain formation, we must ensure computational tractability and reduce bidders¿ uncertainty. With this aim, we introduce Sequential Mixed Auctions (SMAs), a novel auction model conceived to help bidders collaboratively discover supply chain structures. Thus, an SMA allows bidders progressively build a supply chain structure through successive auction rounds.-
dc.publisherSpringer-
dc.rightsclosedAccess-
dc.subjectMulti-unit combinatorial auctions-
dc.subjectComputational tractability-
dc.subjectSupply chain structures-
dc.subjectSupply chain formation-
dc.subjectAutomated assembly-
dc.subjectHigh potential-
dc.subjectAuction model-
dc.titleSolving Sequential Mixed Auctions with Integer Programming.-
dc.typeartículo-
dc.identifier.doi10.1007/978-3-642-25274-7_5-
dc.date.updated2016-10-20T11:18:52Z-
dc.description.versionPeer Reviewed-
dc.language.rfc3066eng-
dc.relation.csic-
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