| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 6595302 | Computers & Chemical Engineering | 2016 | 48 Pages | 
Abstract
												A novel scenario-based dynamic negotiation approach is proposed for the coordination of decentralized supply chains under uncertainty. The relations between the involved organizations (client, provider and third parties) and their respective conflicting objectives are captured through a non-zero-sum and non-symmetric roles SBDN negotiation. The client (leader) designs coordination agreements considering the uncertain reaction of the provider (follower) resulting from the uncertain nature of the third parties, which is modeled as a probability of acceptance function. Different negotiation scenarios are studied: (i) cooperative, and (ii) non-cooperative and (iii) standalone cases. The use of the resulting models is illustrated through a case study with different vendors around a “leader” (client) in a decentralized scenario. Although the usual cooperation hypothesis will allow higher overall profit expectations, using the proposed approach it is possible to identify non-cooperative scenarios with high individual profit expectations which are more likely to be accepted by all individual partners.
											Keywords
												MILPCPUMINLPNLPSCMGAMsstandard deviationTactical planningMixed integer linear programmingNon-linear programmingMixed integer non-linear programmingLinear programmingCNSSupply chainDecentralized supply chainRaw materialSupply chain managementUncertainty managementmeanProcess system engineeringmegawattcentral processing unitPSE
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											Authors
												Kefah Hjaila, José M. LaÃnez-Aguirre, Luis Puigjaner, Antonio Espuña, 
											