Evaluating centralized return centers in a reverse logistics network: An integrated fuzzy multi-criteria decision approach

Creative Commons License

TUZKAYA G., GÜLSÜN B.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, cilt.5, sa.3, ss.339-352, 2008 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 5 Sayı: 3
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1007/bf03326029
  • Dergi Adı: INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.339-352
  • Anahtar Kelimeler: reverse logistics, facility location evaluation, analytic network process, fuzzy sets, LOCATION SELECTION, FACILITY LOCATION, PRODUCT RECOVERY, MODEL, TOPSIS, ANP, OPTIMIZATION, ENVIRONMENT, COMPUTERS, SYSTEM
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

In this paper, the centralized return centers location evaluation problem in a reverse logistics network is investigated. This problem is solved via an integrated analytic network process- fuzzy technique for order preference by similarity to ideal solution approach. Analytic network process allows us to evaluate criteria preferences while considering interdependence between them. On the other hand, technique for order preference by similarity to ideal solution decreases the number of computational steps compared to simple analytic network process evaluation. An important characteristic of the centralized return centers location evaluation problem, vagueness, is adapted to the methodology via the usage of fuzzy numbers in the technique for order preference by similarity to ideal solution approach. Finally, a numerical example is given to demonstrate the usefulness of the methodology. The results indicate that, this integrated multi-criteria decision making methodology is suitable for the decision making problems that needs considering multiple criteria conflicting each other. Also, by using this methodology, the interdependences between the criteria may be considered for these kinds of problems in a flexible and systematic manner.