A stochastic optimization approach for paper recycling reverse logistics network design under uncertainty

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Kara S., ÖNÜT S.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, cilt.7, sa.4, ss.717-730, 2010 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 7 Sayı: 4
  • Basım Tarihi: 2010
  • Doi Numarası: 10.1007/bf03326181
  • Dergi Adı: INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.717-730
  • Anahtar Kelimeler: Network optimization, Recycling, Two-Stage Stochastic programming, MULTICRITERIA DECISION APPROACH, ARTIFICIAL NEURAL-NETWORK, PRODUCT RECOVERY, HAZARDOUS-WASTES, MODEL, MANAGEMENT, SYSTEM, WATER, PERFORMANCE, INDUSTRY
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

One of the most important objectives of a manufacturing firm is the efficient design and operation of its supply chain to maximize profit. Paper is an example of a valuable material that can be recycled and recovered. Uncertainty is one of the characteristics of the real world. The methods that cope with uncertainty help researchers get realistic results. In this study, a two-stage stochastic programing model is proposed to determine a long term strategy including optimal facility locations and optimal flow amounts for large scale reverse supply chain network design problem under uncertainty. This network design problem includes optimal recycling and collection center locations and optimal flow amounts between the nodes in the multi-facility environment. Proposed model is suitable for recycling/manufacturing type of systems in reverse supply chain. All deterministic, stochastic models are mixed-integer programing models and are solved by commercial software GAMS 21.6/CPLEX 9.0.