Title: An intelligent support system for supplier evaluation
Authors: Fong-Ching Yuan, Chi-I Hsu, Chaochang Chiu, Pei-Lun Hsu
Addresses: Department of Information Management, Yuan Ze University, Chung-Li 320, Taiwan. ' Department of Information Management, Kai Nan University, Lu Chu 338, Taiwan. ' Department of Information Management, Yuan Ze University, Chung-Li 320, Taiwan. ' Department of Electronic Engineering, Chin Yun University, Chung-Li 320, Taiwan
Abstract: Supplier evaluation is critical for Supply Chain Management (SCM). Based on the information gained from formalised supplier evaluation processes, a company can determine the relationship with the suppliers. If manufacturers can cooperate or interact with suppliers very well, it helps to maximise the productivity at the minimum cost while satisfying customer requirements. Case-Based Reasoning (CBR) provides a suitable mean for improving the effectiveness of complex and unstructured decision making, such as supplier evaluation. It is a machine reasoning method that adapts previous similar cases to infer further similarity. For effective case retrieval, a Genetic Algorithm (GA)-based approach used to determine the most appropriate feature weights is employed to enhance the case-matching process. Our proposed GA-CBR methodology used to predict vendor evaluation has been proven very effective and has better prediction accuracy over the results from other approaches as it minimises the effect of qualitative factors.
Keywords: supplier evaluation; supply chain management; SCM; case based reasoning; genetic algorithms; vendor evaluation; supplier selection; intelligent selection.
International Journal of Management and Enterprise Development, 2005 Vol.2 No.3/4, pp.441 - 457
Published online: 21 Mar 2005 *Full-text access for editors Access for subscribers Purchase this article Comment on this article