A group selection approach to supplier collaborative configuration problems with correlation of experts and attributes

Abstract

Enterprises nowadays are often confronted with selecting supplier collaborative configuration problems in supply chain management. The aim of this paper is to develop a group selection methodology with the correlation of experts and attributes for solving supplier collaborative configuration problems. In this methodology, opinions of experts for supplier collaborative configuration on the basic attributes are integrated, respectively. The Denoeux cautious combination rules are further modified to delete the ignorance caused by relative weights in the aggregation and hereby we estimate the group evaluations of supplier collaborative configuration, which are used to rank supplier collaborative configuration schemes/alternatives through employing the minimum/maximum regret value method. A real case is used to verify and show the rationality, effectiveness and applicability.

Keywords

• Supplier collaborative configuration
• Group decision making
• Decision analysis
• Multiattribute decision making
• Evidential reasoning