Fuzzy AHP-based supplier selection in e-procurement

Morad Benyoucef and Mustafa Canbolat

International Journal of Services and Operations Management, 2007, vol. 3, issue 2, 172-192

Abstract: Organisations need information technology to help them make quick, right and accurate purchasing decisions and better manage their relationships with their suppliers. This help comes in the form of electronic procurement (e-procurement) technology augmented with supplier selection systems. Supplier selection is a multi-criteria decision-making process that deals with the optimisation of conflicting objectives such as quality, cost and delivery time. If performed manually, this process is complex and time-consuming. Although supplier selection is heavily discussed in the literature and models have been designed for it, few efforts have been dedicated to developing a system based on these models. We propose a supplier selection system based on the Analytic Hierarchy Process (AHP), a commonly used model for multi-criteria decision-making problems. The system integrates fuzzy concepts and empirical data. We report on a study conducted in a hospital to validate the design of the supplier selection system and its underlying fuzzy AHP model.

Keywords: electronic procurement; e-procurement; purchasing decisions; supplier selection; supplier selection systems; analytical hierarchy process; fuzzy AHP; healthcare procurement; Canada; multi-criteria decision-making; MCDM; supply chain management; SCM. (search for similar items in EconPapers)
Date: 2007
References: Add references at CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.inderscience.com/link.php?id=12136 (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:3:y:2007:i:2:p:172-192

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 ().