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

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 proceeding › Conference article published in proceeding or book › Academic research › peer-review

3 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 language	English
Title of host publication	Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings,
Publisher	Springer Verlag
Pages	657-665
Number of pages	9
ISBN (Print)	3540459014, 9783540459019
Publication status	Published - 1 Jan 2006
Event	2nd International Conference on Natural Computation, ICNC 2006 - Xi'an, China Duration: 24 Sept 2006 → 28 Sept 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4221 LNCS - I
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Conference on Natural Computation, ICNC 2006
Country/Territory	China
City	Xi'an
Period	24/09/06 → 28/09/06

Keywords

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

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Cite this

Huang, M., Ding, J., Ip, W. H., Yung, K. L., Liu, Z., & Wang, X. (2006). The research on the optimal control strategy of a serial supply chain based on GA. In Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings, (pp. 657-665). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4221 LNCS - I). Springer Verlag.

Huang, Min ; Ding, Jianqin ; Ip, W. H. et al. / The research on the optimal control strategy of a serial supply chain based on GA. Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings,. Springer Verlag, 2006. pp. 657-665 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

keywords = "Genetic algorithm, Inventory control, Pull control, Push control, Supply chain management (SCM)",

author = "Min Huang and Jianqin Ding and Ip, {W. H.} and Yung, {Kai Leung} and Zhonghua Liu and Xingwei Wang",

year = "2006",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings,",

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note = "2nd International Conference on Natural Computation, ICNC 2006 ; Conference date: 24-09-2006 Through 28-09-2006",

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Huang, M, Ding, J, Ip, WH, Yung, KL, Liu, Z & Wang, X 2006, The research on the optimal control strategy of a serial supply chain based on GA. in Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings,. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4221 LNCS - I, Springer Verlag, pp. 657-665, 2nd International Conference on Natural Computation, ICNC 2006, Xi'an, China, 24/09/06.

The research on the optimal control strategy of a serial supply chain based on GA. / Huang, Min; Ding, Jianqin; Ip, W. H. et al.
Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings,. Springer Verlag, 2006. p. 657-665 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4221 LNCS - I).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - 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.

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Huang M, Ding J, Ip WH, Yung KL, Liu Z, Wang X. The research on the optimal control strategy of a serial supply chain based on GA. In Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings,. Springer Verlag. 2006. p. 657-665. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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

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Keywords

ASJC Scopus subject areas

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