Optimization of control strategy of a serial supply chain based on pheromone evolutionary algorithm

Min Huang, Jianqin Ding, Zhonghua Liu, W. H. Ip, Kai Leung Yung, Xingwei Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Determination of optimal control strategy is one of the key factors for a successful supply chain management. This paper focuses on the research of an inventory control strategy of a serial supply chain. First, it proposes an optimization model of an inventory control that is based on the combination of a nonlinear integer programming model and a general push/pull control model. Then, the optimal control strategy is obtained by the combination of pheromone evolutionary algorithm and simulation analysis. Case studies demonstrated the effectiveness of the method.
Original languageEnglish
Title of host publication2006 IEEE Congress on Evolutionary Computation, CEC 2006
Pages2707-2712
Number of pages6
Publication statusPublished - 1 Dec 2006
Event2006 IEEE Congress on Evolutionary Computation, CEC 2006 - Vancouver, BC, Canada
Duration: 16 Jul 200621 Jul 2006

Conference

Conference2006 IEEE Congress on Evolutionary Computation, CEC 2006
CountryCanada
CityVancouver, BC
Period16/07/0621/07/06

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Theoretical Computer Science

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