A fuzzy analytic hierarchy process methodology for the supplier selection problem
Abstract
Purpose
Purchasing activities of a company form a very important part in the operation of the company. The quality of production and services mainly rely on the performance of the suppliers. In addition, a large amount of the product's total cost belongs to the purchasing cost of its materials. Therefore, selecting the most suitable suppliers is very important for the firm. Unfortunately, most of the time, suppliers cannot provide the highest quality parts on-time at the lowest costs in the market. In other words, quality, delivery and cost objectives conflict with each other. The purpose of this paper is to determine the best supplier for the firm according to these conflicting objectives.
Design/methodology/approach
In this study a fuzzy analytic hierarchy process (FAHP) approach is employed for the supplier selection problem of a textile company. First the selection criteria according to company's objectives are determined. Then the pair-wise comparisons are made on a fuzzy basis. Similarly, in the next step, the six alternative suppliers are compared by fuzzy means.
Findings
Finally, the two suppliers which achieved the highest performance are advised to the company and this study is the first one which employs FAHP using fuzzy prioritization method in supplier selection problem.
Originality/value
There are many different applications of FAHP in literature and some of these have found applications in supplier selection problem. However, to the best of the authors’ knowledge this study is the first one which employs FAHP using fuzzy prioritization method in supplier selection problem.
Keywords
Citation
Mızrak Özfirat, P., Tuna Taşoglu, G. and Tunçel Memiş, G. (2014), "A fuzzy analytic hierarchy process methodology for the supplier selection problem", Journal of Enterprise Information Management, Vol. 27 No. 3, pp. 292-301. https://doi.org/10.1108/JEIM-12-2013-0094
Publisher
:Emerald Group Publishing Limited
Copyright © 2014, Emerald Group Publishing Limited