Supplier selection model using QFD-ANP methodology under fuzzy multi-criteria environment

Neda Ahmadizadeh-Tourzani, Abbas Keramati and Arash Apornak

International Journal of Productivity and Quality Management, 2018, vol. 24, issue 1, 59-83

Abstract: Supplier selection is the most fundamental decision in the purchase management phase. Purchase is the most functional activity among several activities in a supply chain. A proper supplier selection supports a company's long-term strategies and its competitive position. Due to presence of ambiguities and uncertainties in the decision making process for selecting suppliers, fuzzy techniques could provide more reliable and flexible decision of supplier selection problem. In such techniques, customer needs and engineering requirements are weighted by the method of fuzzy analytic network process (ANP) and relationship matrix of quality function deployment (QFD) in fuzzy environment of their importance degree, respectively. Using a mathematical model would integrate the amount of cost components and objective factor measure (OFM). The integrated method is applied to a case study in a reputable Iranian automotive company. The results show the efficiency of the method through considering the viewpoint of decision-makers and their dependence on each other.

Keywords: multi criteria decision making; supplier selection; quality function deployment; QFD; analytical network process; fuzzy environment. (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.inderscience.com/link.php?id=91172 (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:ijpqma:v:24:y:2018:i:1:p:59-83

Access Statistics for this article

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