Vol. 7 No. 4 (2019): Business & Management Studies: An International Journal
Articles

THE MOST SUITABLE FACTORY LOCATION SELECTION FOR TURKEY'S DOMESTIC AUTOMOBILE WITH FUZZY TOPSIS METHOD

Aytaç YILDIZ
Assoc. Prof. Dr., Bursa Tehnical University
Yunus DEMİR
Assist. Prof. Dr., Bursa Technical University

Published 2019-09-22

Keywords

  • Domestic Automobile, Site Selection, Fuzzy TOPSIS
  • Yerli Otomobil, Yer Seçimi, Bulanık TOPSIS

How to Cite

YILDIZ, A., & DEMİR, Y. (2019). THE MOST SUITABLE FACTORY LOCATION SELECTION FOR TURKEY’S DOMESTIC AUTOMOBILE WITH FUZZY TOPSIS METHOD. Business & Management Studies: An International Journal, 7(4), 1427-1445. https://doi.org/10.15295/bmij.v7i4.1210

Abstract

For entrepreneurs, in addition to which sector they operate it is also important suitable selection of facility location. Because the selection of an unsuitable facility location after a wrong decision can cause problems such as high costs and inability to reach enough customers. The facility location problem is a decision problem, which contains many criteria and uncertainty and therefore exhibits a fuzzy behavior. In solving such decision problems, the use of scientific methods such as Multi Criteria Decision Making (MCDM) provides convenience to decision makers. In this study, it is aimed to select most suitable facility location for the domestic automobile production which has a strategic importance for Turkey. For this purpose, fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method was used to facilitate decision making in fuzzy environments. Seven alternative location (Kocaeli, Bursa-Gemlik, Sakarya, Konya, Izmir-Aliaga, Adana and Eskisehir) have been evaluated according to five different criteria (economic, geographical location, infrastructure, technical and social characteristics) as a result of literature review. At the end of the study, Bursa-Gemlik, which has the highest closeness coefficient, was determined as the most suitable facility location for domestic automobile.

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