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

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 proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	2006 IEEE Congress on Evolutionary Computation, CEC 2006
Pages	2707-2712
Number of pages	6
Publication status	Published - 1 Dec 2006
Event	2006 IEEE Congress on Evolutionary Computation, CEC 2006 - Vancouver, BC, Canada Duration: 16 Jul 2006 → 21 Jul 2006

Conference

Conference	2006 IEEE Congress on Evolutionary Computation, CEC 2006
Country/Territory	Canada
City	Vancouver, BC
Period	16/07/06 → 21/07/06

ASJC Scopus subject areas

Artificial Intelligence
Software
Theoretical Computer Science

Cite this

@inproceedings{5fe0267bfcf24508a1d8fd6fd71ef4f5,

title = "Optimization of control strategy of a serial supply chain based on pheromone evolutionary algorithm",

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.",

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

year = "2006",

month = dec,

day = "1",

language = "English",

isbn = "0780394879",

pages = "2707--2712",

booktitle = "2006 IEEE Congress on Evolutionary Computation, CEC 2006",

note = "2006 IEEE Congress on Evolutionary Computation, CEC 2006 ; Conference date: 16-07-2006 Through 21-07-2006",

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Optimization of control strategy of a serial supply chain based on pheromone evolutionary algorithm. / Huang, Min; Ding, Jianqin; Liu, Zhonghua et al.
2006 IEEE Congress on Evolutionary Computation, CEC 2006. 2006. p. 2707-2712 1688647.

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

TY - GEN

T1 - Optimization of control strategy of a serial supply chain based on pheromone evolutionary algorithm

AU - Huang, Min

AU - Ding, Jianqin

AU - Liu, Zhonghua

AU - Ip, W. H.

AU - Yung, Kai Leung

AU - Wang, Xingwei

PY - 2006/12/1

Y1 - 2006/12/1

N2 - 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.

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 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.

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M3 - Conference article published in proceeding or book

SN - 0780394879

SN - 9780780394872

SP - 2707

EP - 2712

BT - 2006 IEEE Congress on Evolutionary Computation, CEC 2006

T2 - 2006 IEEE Congress on Evolutionary Computation, CEC 2006

Y2 - 16 July 2006 through 21 July 2006

ER -

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

Abstract

Conference

ASJC Scopus subject areas

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