An integrated model for supplier selection using fuzzy analytical hierarchy process: a steel plant case study. (4th June 2010)

• Record Type: Journal Article
• Authors: Gnanasekaran, Sasikumar; Velappan, Selladurai; Manimaran, P.
• Is Part Of: International journal of procurement management. Volume 3:Number 3(2010)
• Page Start: 292
• Page End: 315
• Publication Date: 2010-06-04
• Subjects: supplier selection -- supply chain management -- SCM -- analytical hierarchy process -- fuzzy AHP -- integrated models -- purchasing -- multicriteria decision making -- MCDM -- qualitative criteria -- quantitative criteria -- tangible criteria -- intangible criteria -- globalisation -- competition -- competitiveness -- raw materials -- punctuality -- inventories -- cost reduction -- product improvement -- decision support systems -- DSS -- steel plants -- India -- procurement management; Industrial procurement -- Management -- Periodicals; Industrial procurement -- Electronic information resources -- Periodicals; Business logistics -- Periodicals; 658.7205
• Languages: English
• ISSNs: 1753-8432

Abstract

Supplier selection is one of the most important functions to be performed by the purchasing department. The supplier selection is a multi-criteria decision making (MCDM) problem involving both qualitative and quantitative criteria. In order to select the best suppliers, it is necessary to make a trade off between tangible and intangible criteria that conflict with each other. Today's globally competitive business environment warrants suppliers to supply raw materials punctually in the right quantity and quality. Manufacturers are increasingly concerned about supplier selection since reliable suppliers enable them to reduce inventory costs and improve product quality. This paper proposes an integrated model based on fuzzy analytical hierarchy process (AHP) for supplier selection. A decision support system (DSS) has been developed using Visual Basic and MS Access. The case study was conducted in a leading steel plant to demonstrate the application of the proposed model.