A two-stage stochastic and robust programming approach to strategic planning of a reverse supply network: The case of paper recycling

Kara S., ÖNÜT S.

EXPERT SYSTEMS WITH APPLICATIONS, cilt.37, sa.9, ss.6129-6137, 2010 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 37 Sayı: 9
  • Basım Tarihi: 2010
  • Doi Numarası: 10.1016/j.eswa.2010.02.116
  • Dergi Adı: EXPERT SYSTEMS WITH APPLICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.6129-6137
  • Anahtar Kelimeler: Reverse supply network design, Stochastic programming, Robust programming, Paper recycling, Uncertainty, OPTIMIZATION MODEL, LOGISTICS, DESIGN, UNCERTAINTY, PRODUCT, SYSTEM
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

Paper is an example of a valuable material that can be recycled and recovered. In this study, a two-stage stochastic revenue-maximization model is presented to determine a long-term strategy under uncertainty for a large-scale real-world paper recycling company. This network-design problem includes optimal recycling center locations and optimal flow amounts between the nodes in the multi-facility environment. The proposed model is formulated with two-stage stochastic mixed-integer and robust programming approaches. The models are solved by commercial software GAMS 21.6/CPLEX 9.0 and the results are compared. The study is followed by the analyses of the results. (C) 2010 Elsevier Ltd. All rights reserved.