A methodology for the strategic design of reverse logistics networks and its application in the Turkish white goods industry

Tuzkaya G., GÜLSÜN B., Onsel S.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, cilt.49, sa.15, ss.4543-4571, 2011 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 49 Sayı: 15
  • Basım Tarihi: 2011
  • Doi Numarası: 10.1080/00207543.2010.492804
  • Dergi Adı: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.4543-4571
  • Anahtar Kelimeler: MCDM, meta-heuristics, network design, reverse logistics, LOCATING COLLECTION CENTERS, SUPPLY CHAIN MANAGEMENT, GENETIC ALGORITHM, OPTIMIZATION, MODEL
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

In this study, a multi-objective model for the reverse logistics network design (RLND) problem and a novel methodology are proposed. The proposed methodology is comprised of two stages: the centralised return centre (CRC) evaluation stage and the reverse logistics network design (RLND) stage. In the first stage an integrated ANP and fuzzy-TOPSIS methodology is utilised. In the second stage, using the CRC weights obtained in the first stage, the RLND model is solved via genetic algorithms (GAs). The proposed methodology is applied to a case from the Turkish white goods industry. The results are discussed and analysed.