FRUITS AND VEGETABLES MARKET HALL LOCATION SELECTION BY USING INTERVAL-VALUED TRAPEZOIDAL FUZZY GREY RELATIONAL ANALYSIS: AN APPLICATION FOR ISTANBUL

Authors

  • Özge Nalan Bilişik Department of Industrial Engineering, Yildiz Technical University
  • Umut Rıfat Tuzkaya Department of Industrial Engineering, Yildiz Technical University
  • Hayri Baraçlı Istanbul Metropolitan Municipality
  • Mehmet Tanyaş Maltepe University, International Trade and Logistics Management

DOI:

https://doi.org/10.23055/ijietap.2019.26.5.3257

Keywords:

Distribution, Decision making, Fruits and vegetables market halls, Location selection

Abstract

In urban areas, effectively delivering the necessary products for people to survive to the desired points has a vital importance. Determining the urban distribution centers locations truly, which have an important role in distribution networks, will satisfy determining the number of vehicles, minimizing the traffic congestion by determining the routes of vehicles correctly and thus decreasing the environmental effects like noise and emission. In this study, fresh fruits and vegetables market hall (F&VMH), which is an important urban distribution center type that fulfills the food requirements of city residents, location determination problem is investigated. To solve this problem, interval-valued trapezoidal fuzzy grey relational analysis (GRA) method is used because is suitable to deal with poor, incomplete, and uncertain information. When the results are analyzed, it is seen that F&VMHs have to be located in the district which is closer to producers and which has the lower building and land costs.

Published

2019-10-21

How to Cite

Bilişik, Özge N., Tuzkaya, U. R., Baraçlı, H., & Tanyaş, M. (2019). FRUITS AND VEGETABLES MARKET HALL LOCATION SELECTION BY USING INTERVAL-VALUED TRAPEZOIDAL FUZZY GREY RELATIONAL ANALYSIS: AN APPLICATION FOR ISTANBUL. International Journal of Industrial Engineering: Theory, Applications and Practice, 26(5). https://doi.org/10.23055/ijietap.2019.26.5.3257

Issue

Section

Supply Chain Management