Designing a computational tool for supplier selection using analytical hierarchy process
Soumendra Kumar Patra and
Prashanta Kumar Dash
International Journal of Mathematics in Operational Research, 2015, vol. 7, issue 4, 361-371
Abstract:
With increasingly competitive global world markets, companies are under intense pressure to find ways to cut production and material costs to survive and sustain their competitive position. Since a qualified supplier is a key element and a good resource for a buyer in reducing such costs at optimum material quality, evaluation and selection of the right suppliers is critical to maintain competitiveness. This decision becomes more complicated in case of multiple suppliers, multiple conflicting criteria, and imprecise parameters. Most supplier selection models consider the buyer's viewpoints and maximise only the buyer's advantages and thus do not necessarily lead to an optimal situation for business competitiveness. This paper deals with a multi attribute decision model using AHP for the justification of supplier selection, explore the factors influencing the supplier selection, the relationship between the identified factors and the firm's performance with reference to manufacturing industries in Bhubaneswar City.
Keywords: analytical hierarchy process; AHP; supplier selection; vendor selection; firm performance; multiattribute decision making; MADM; manufacturing industry; India. (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=70187 (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:ijmore:v:7:y:2015:i:4:p:361-371
Access Statistics for this article
More articles in International Journal of Mathematics in Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().