Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.tre.2005.07.005
DC FieldValue
dc.titleA note on supply chain network equilibrium models
dc.contributor.authorMeng, Q.
dc.contributor.authorHuang, Y.K.
dc.contributor.authorCheu, R.L.
dc.date.accessioned2014-06-16T09:32:33Z
dc.date.available2014-06-16T09:32:33Z
dc.date.issued2007-01
dc.identifier.citationMeng, Q., Huang, Y.K., Cheu, R.L. (2007-01). A note on supply chain network equilibrium models. Transportation Research Part E: Logistics and Transportation Review 43 (1) : 60-71. ScholarBank@NUS Repository. https://doi.org/10.1016/j.tre.2005.07.005
dc.identifier.issn13665545
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/54574
dc.description.abstractThis paper is concerned with the supply chain network equilibrium models proposed by Nagurney et al. [Nagurney, A., Dong, J., Zhang, D., 2002. A supply chain network equilibrium model. Transportation Research 38E, 281-303] and Dong et al. [Dong, J., Zhang, D., Nagurney, A., 2004. A supply chain network equilibrium model with random demands. European Journal of Operational Research 156, 194-212]. It demonstrates that these models possess the unconstrained continuously differentiable minimization formulations, whose any stationary point is the solution of the corresponding model. Accordingly, not only is the Quasi-Newton algorithm capable of finding a solution of the model, but also it can overcome the difficulty experienced by the modified projection method in choosing an appropriate predetermined step size. In addition, 11 benchmark examples are employed to show the advantage of the unconstrained minimization formulation. © 2005 Elsevier Ltd. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.tre.2005.07.005
dc.sourceScopus
dc.subjectNetwork equilibrium
dc.subjectNonlinear complementarity problems
dc.subjectQuasi-Newton algorithm
dc.subjectSupply chain model
dc.subjectUnconstrained minimization problems
dc.subjectVariational inequalities
dc.typeArticle
dc.contributor.departmentCIVIL ENGINEERING
dc.description.doi10.1016/j.tre.2005.07.005
dc.description.sourcetitleTransportation Research Part E: Logistics and Transportation Review
dc.description.volume43
dc.description.issue1
dc.description.page60-71
dc.identifier.isiut000243127700004
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