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Supply chain network dynamics with multi-objective decision under demand uncertainty

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The dynamics of a three tiers supply chain network in the presence of demand uncertainty is considered in this paper. The objective is assessed by taking into account not only the profit over the time horizon, but also the resulting uncovered demand satisfaction. An equilibrium Variational Inequality (VI) for all the nodes of the supply chain is derived. The proposed model is tested using Modified Goldstein-Levitin-Polyak Projection Algorithm. A numerical example is provided for illustrative purpose. And the results illustrate the demand satisfaction tends to reduce the amount of product flow between node of the supply chain.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
PublisherIEEE Computer Society
Pages1710-1715
Number of pages6
ISBN (Print)9781424420964
DOIs
StatePublished - 2008
Event7th International Conference on Machine Learning and Cybernetics, ICMLC 2008 - Kunming, China
Duration: 12 Jul 200815 Jul 2008

Publication series

NameProceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC
Volume3

Conference

Conference7th International Conference on Machine Learning and Cybernetics, ICMLC 2008
Country/TerritoryChina
CityKunming
Period12/07/0815/07/08

Keywords

  • Demand uncertainty
  • Modified Goldstein-Levitin-Polyak projection algorithm
  • Multi-objective decision
  • Supply chain
  • Variational inequality

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