Supplier Selection Using Fuzzy Analytic Hierarchy Process Method: Application of an Automotive Supply Industry Company


Karabıçak Ç., Özcan B., Kocabaş M.

2nd International Conference on Data Science and Applications (ICONDATA’2019), Balıkesir, Türkiye, 3 - 06 Ekim 2019, cilt.2, ss.57

  • Yayın Türü: Bildiri / Özet Bildiri
  • Cilt numarası: 2
  • Basıldığı Şehir: Balıkesir
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.57
  • Kocaeli Üniversitesi Adresli: Evet

Özet

Supplier Selection Using Fuzzy Analytic Hierarchy Process Method: Application of an Automotive Supply Industry Company* Çağın KARABIÇAK1, Burcu ÖZCAN1, Mehlika KOCABAS AKAY1 1Kocaeli University, Kocaeli, TURKEY Abstract In a globally competitive business environment, decision-making is vital for companies because of the rapid development of technology and the rapid change of society's lifestyle. For this reason, companies need to use scientific methods when making a future decision in order to maintain their competitiveness. The methods used to decide the problems in which there are multiple criteria and where there is not a single optimum solution are generally referred to as “Multi Criteria Decision Making Methods (MCDM). When the methods used in complex decision making processes are examined; It is seen that many of the developed methods are considered to be MCDM. When these methods are compared, each has several advantages and weaknesses. Analytical Hierarchy Process (AHP) method is the most common method in multi-criteria decision making because it is the most common method in literature. n the classical sense, the criteria are expressed by using precise expressions. However, real-life problems may not be expressed in absolute values and contain difficult uncertainty or subjective judgments. This situation may occur especially in qualitative information, incomplete information and information that cannot be obtained. Language variables are used to express uncertainties and subjectivities in decisionmaking preferences, and fuzzy logic / numbers are used to model these variables. The FAHP method, which is an improved form of classical AHP and uses fuzzy numbers, enables human opinions and convictions to be more effective in the decision-making process. In this paper, the supplier selection process in a company operating in automotive industry has been examined and FAHP method is used when selecting from three candidate mold companies. The supplier selection has a complex and fuzzy structure that contains many criteria in the selection process. When the literature was examined, among the many BAHP methods encountered, Chang's Extended Analysis Method was preferred to be used in the related problem. The criteria to be used in the evaluation of the mold supplier candidates were determined by taking into consideration the purchasing policies of the enterprise and the general supplier selection criteria. The company, which has the best value in the evaluation made according to the four main and fourteen sub-criteria determined as quality, price / cost, delivery and flexibility, was found suitable for the production, modification and transfer of the molds. Keywords: Automotive Sub Industry, Multi-criteria Decision Making, Fuzzy AHP, Supplier Selection