An integrated model for supplier selection: an automobile industry case study

Sasikumar Gnanasekaran, Selladurai Velappan and Sivasangari Ayappan

International Journal of Services and Operations Management, 2010, vol. 6, issue 1, 89-105

Abstract: In manufacturing industries, supplier selection is considered to be an important decision in managing the supply chain. Today's globally competitive business environment requires suppliers to supply raw materials and outsourced parts punctually – in the right quantity and with consistent quality. Manufacturers are increasingly concerned about supplier selection since reliable suppliers enable them to reduce inventory costs and improve product quality. The present paper, therefore, proposes a model based on the integration of the Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA) for supplier selection. The additive normalisation method is used as the prioritisation method to calculate the priority vectors. We also developed a decision support system using Excel to perform the mathematical analysis and obtain the results. The case study was conducted in a leading automobile components manufacturer to demonstrate the application of the proposed model.

Keywords: supplier selection; supply chain management; SCM; grey relational analysis; GRA; analytical hierarchy process; AHP; decision support systems; DSS; automobile industry; automotive components manufacturing. (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=29496 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijsoma:v:6:y:2010:i:1:p:89-105

Access Statistics for this article

More articles in International Journal of Services and Operations Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().