Modeling the problem of selecting and assigning orders to suppliers based on the Goal planning, QFD and ANP combined approach

Subject Areas : Statistics

Milad Tavakolian ¹ , Mohammad Javad Ershadi ² , Amir Azizi ³

1 - Industrial Engineering Department, Islamic Azad University, Science and Research Branch, Tehran, Iran
2 - Information Technology Department, Iranian Research Institute for Information Science and Technology (IRANDOC), Tehran, Iran
3 - Industrial Engineering Department, Islamic Azad University, Science and Research Branch, Tehran, Iran

Received: 2019-02-13 Accepted : 2019-10-27 Published : 2020-10-22

Keywords: فرآیند تحلیل شبکه (ANP), گسترش عملکرد کیفیت (QFD), انتخاب تأمین‌کننده, برنامه ریزی آرمانی,

Abstract :

Vendor performance plays a key role in price, quality, timely delivery and service in achieving the goals of the supply chain. Given this, today's supplier performance has become a critical element in the success or failure of a company. In this study, an idealized planning model with multi-criteria decision-making approach with network analysis tool based on the expansion of fuzzy quality function has been developed. Also, a new way of ranking, selecting, and assigning orders to suppliers is provided. To this end, the concept of expanding fuzzy quality function and network analysis are used to evaluate and rank suppliers and the math planning model for assigning orders to suppliers. The method presented in this paper is a feasible, practical, and useful method for identifying and ranking suppliers as well as assigning orders to them. The advantage of this model compared to similar methods in using QFD and ANP tools is to measure the priorities and needs of the company to rank suppliers, which can listen to the voice of the customer and take their demands, as well as integrate the two tools with planning Ideal for ordering a new approach. Based on the results of this research, technology and timely delivery are the most important features in order to evaluate contractor selection. Selection of contractors in such a way that at the same time returns from the supplier, delays and costs of supply are the least possible, are the most important results of this research.

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