A multi-criterion approach for order distribution in supply chain management

S. H. Chung; Henry C. W. Lau; Felix T. S. Chan

A multi-criterion approach for order distribution in supply chain management

S. H. Chung, Henry C. W. Lau, Felix T. S. Chan

School of Business

Research output: Contribution to journal › Article

3 Citations (Scopus)

Abstract

This paper developed a multi-criteria Genetic Algorithm (GA), specifically designed for solving distribution problems in supply chain management. The proposed algorithm is discussed with an order distribution problem in a demand-driven supply chain network. The proposed methodology combines Analytic Hierarchy Process with GAs. The numerical results comparison obtained from the new approach shows that it is reliable and robust.

Original language	English
Pages (from-to)	323-331
Number of pages	9
Journal	International Journal of Intelligent Systems Technologies and Applications
Volume	6
Issue number	45385
Publication status	Published - 2009

Keywords

business logistics
supply chain management

Cite this

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title = "A multi-criterion approach for order distribution in supply chain management",

abstract = "This paper developed a multi-criteria Genetic Algorithm (GA), specifically designed for solving distribution problems in supply chain management. The proposed algorithm is discussed with an order distribution problem in a demand-driven supply chain network. The proposed methodology combines Analytic Hierarchy Process with GAs. The numerical results comparison obtained from the new approach shows that it is reliable and robust.",

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author = "Chung, {S. H.} and Lau, {Henry C. W.} and Chan, {Felix T. S.}",

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AU - Chung, S. H.

AU - Lau, Henry C. W.

AU - Chan, Felix T. S.

PY - 2009

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N2 - This paper developed a multi-criteria Genetic Algorithm (GA), specifically designed for solving distribution problems in supply chain management. The proposed algorithm is discussed with an order distribution problem in a demand-driven supply chain network. The proposed methodology combines Analytic Hierarchy Process with GAs. The numerical results comparison obtained from the new approach shows that it is reliable and robust.

AB - This paper developed a multi-criteria Genetic Algorithm (GA), specifically designed for solving distribution problems in supply chain management. The proposed algorithm is discussed with an order distribution problem in a demand-driven supply chain network. The proposed methodology combines Analytic Hierarchy Process with GAs. The numerical results comparison obtained from the new approach shows that it is reliable and robust.

KW - business logistics

KW - supply chain management

UR - http://handle.uws.edu.au:8081/1959.7/502953

M3 - Article

SN - 1740-8865

VL - 6

SP - 323

EP - 331

JO - International Journal of Intelligent Systems Technologies and Applications

JF - International Journal of Intelligent Systems Technologies and Applications

IS - 45385

ER -

A multi-criterion approach for order distribution in supply chain management

Abstract

Keywords

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