Facility Location Selection Employing Fuzzy DEA and Fuzzy Goal Programming Techniques

  • Michele Cedolin
  • Nazlı Göker
  • Elif DoguEmail author
  • Y. Esra Albayrak
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 641)


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 Tekirdağ/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.


Facility location selection Fuzzy DEA Fuzzy goal programming MCDM 



The numerical application data of this study is gathered from the thesis written by Sevinç Koç under the surveillance of Prof. Dr. Y. Esra Albayrak. This study is supported by Galatasaray University Research Fund, Project 17.402.005.


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Michele Cedolin
    • 1
  • Nazlı Göker
    • 1
  • Elif Dogu
    • 1
    Email author
  • Y. Esra Albayrak
    • 1
  1. 1.Department of Industrial EngineeringGalatasaray UniversityBesiktasTurkey

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