Facility Location Selection Employing Fuzzy DEA and Fuzzy Goal Programming Techniques


10th Conference of the European-Society-for-Fuzzy-Logic-and-Technology (EUSFLAT) / 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets (IWIFSGN), Warszawa, Poland, 11 - 15 September 2017, vol.641, pp.466-476 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 641
  • Doi Number: 10.1007/978-3-319-66830-7_42
  • City: Warszawa
  • Country: Poland
  • Page Numbers: pp.466-476
  • Keywords: Facility location selection, Fuzzy DEA, Fuzzy goal programming, MCDM, DATA ENVELOPMENT ANALYSIS, NUCLEAR-POWER-PLANT, DECISION-MAKING, EFFICIENCY, TURKEY, AHP
  • Galatasaray University Affiliated: Yes


Facility location selection have strategic importance for companies because it influences not only manufacturing and transportation costs but also productivity and lead times to a great extend. Additionally, it is considered as hard and complicated tasks with respect to its multi-objective nature and difficulties resulted from collecting necessary data. Therefore this problem has always been an important subject of engineering literature. The aim of this study is to solve a facility location selection problem in a manufacturing company that locates in Tekirdag/Turkey. This company has six different factories in the same facility and is considering about establishing a plastic injection factory in the future for producing some of the important plastic components in order to gain cost advantage and also to increase know-how. For this purpose, facility location selection problem is aimed to be solved by applying fuzzy data envelopment analysis (Fuzzy DEA) and fuzzy goal programming (Fuzzy GP) methods.