The research on the optimal control strategy of a serial supply chain based on GA

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

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

2 Citations (Scopus)

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 the generally used push/pull control model. Then, the optimal control strategy is ratified by the fusion of genetic algorithm and simulation analysis. Case studies have demonstrated the effectiveness of the method.
Original languageEnglish
Title of host publicationAdvances in Natural Computation - Second International Conference, ICNC 2006, Proceedings,
PublisherSpringer Verlag
Pages657-665
Number of pages9
ISBN (Print)3540459014, 9783540459019
Publication statusPublished - 1 Jan 2006
Event2nd International Conference on Natural Computation, ICNC 2006 - Xi'an, China
Duration: 24 Sep 200628 Sep 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4221 LNCS - I
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Natural Computation, ICNC 2006
Country/TerritoryChina
CityXi'an
Period24/09/0628/09/06

Keywords

  • Genetic algorithm
  • Inventory control
  • Pull control
  • Push control
  • Supply chain management (SCM)

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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