Hybrid Knowledge-Based Flexible Supplier Selection

Author

Qing Wang

Author_Institution

Dept. of Inf. Manage., Shanghai Finance Univ., Shanghai, China

fYear

2014

Firstpage

235

Lastpage

239

Abstract

Supplier selection no longer relies on cost only. Multi-criteria should be considered in making the selection. Subject to environmental changes, original suppliers may not be feasible or effective ones. Selection has to be flexible reacting to new market requirements. In this paper, a hybrid knowledge-based flexible supplier selection system (HKBF-SSS) is proposed incorporating a case-based reasoning (CBR) module and a mathematical programming module comprised of a proposed linear programming (LP) model. The system enables the company to select capable and most cost-effective supplier(s).

Keywords

case-based reasoning; knowledge based systems; linear programming; production engineering computing; supply chain management; CBR module; HKBF-SSS; LP model; case-based reasoning module; environmental changes; hybrid knowledge-based flexible supplier selection; linear programming model; mathematical programming module; Cognition; Companies; Delays; Knowledge based systems; Mathematical model; Mathematical programming; Supply chains; case-based reasoning; knowledge-based system; linear programming; supplier selection; supply chain flexibility;

fLanguage

English

Publisher

ieee

Conference_Titel

Management of e-Commerce and e-Government (ICMeCG), 2014 International Conference on

Type

conf

DOI

10.1109/ICMeCG.2014.56

Filename

7046925