Integrated model for supplier selection process

Oboulhas Conrad Tsahat Onesime; Xiao Fei Xu; De Chen Zhan; Lei Sha

Integrated model for supplier selection process

Oboulhas Conrad Tsahat Onesime^*
, Xiao Fei Xu
, De Chen Zhan
, Lei Sha

^*Corresponding author for this work

Faculty of Computing

Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

In today's highly competitive manufacturing environment, the supplier selection process becomes one of crucial activities in supply chain management. In order to select the best suppliers, it is not only necessary to continuously tracking and benchmarking performance of suppliers but also to make a tradeoff between tangible and intangible factors some of which may conflict. In this paper an integration of case-based reasoning (CBR), analytical network process (ANP) and linear programming (LP) is proposed to solve the supplier selection problem.

Original language	English
Pages (from-to)	43-50
Number of pages	8
Journal	Journal of Harbin Institute of Technology (New Series)
Volume	10
Issue number	1
State	Published - Mar 2003

Keywords

ANP
Case-based reasoning
Linear programming
Supplier selection

Cite this

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title = "Integrated model for supplier selection process",

abstract = "In today's highly competitive manufacturing environment, the supplier selection process becomes one of crucial activities in supply chain management. In order to select the best suppliers, it is not only necessary to continuously tracking and benchmarking performance of suppliers but also to make a tradeoff between tangible and intangible factors some of which may conflict. In this paper an integration of case-based reasoning (CBR), analytical network process (ANP) and linear programming (LP) is proposed to solve the supplier selection problem.",

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AU - Onesime, Oboulhas Conrad Tsahat

AU - Xu, Xiao Fei

AU - Zhan, De Chen

AU - Sha, Lei

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AB - In today's highly competitive manufacturing environment, the supplier selection process becomes one of crucial activities in supply chain management. In order to select the best suppliers, it is not only necessary to continuously tracking and benchmarking performance of suppliers but also to make a tradeoff between tangible and intangible factors some of which may conflict. In this paper an integration of case-based reasoning (CBR), analytical network process (ANP) and linear programming (LP) is proposed to solve the supplier selection problem.

KW - ANP

KW - Case-based reasoning

KW - Linear programming

KW - Supplier selection

UR - https://www.scopus.com/pages/publications/0038785549

M3 - 文章

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JF - Journal of Harbin Institute of Technology (New Series)

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ER -

Integrated model for supplier selection process

Abstract

Keywords

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