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Case-Oriented Paper

Fuzzy chance-constrained programming model for a multi-echelon reverse logistics network for household appliances

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Pages 551-560 | Received 01 Sep 2007, Accepted 01 Nov 2008, Published online: 21 Dec 2017

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Gül Tekin Temur & Bersam Bolat. (2017) Evaluating efforts to build sustainable WEEE reverse logistics network design: comparison of regulatory and non-regulatory approaches. International Journal of Sustainable Engineering 10:6, pages 358-383.
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Antonio Mihi Ramírez & Víctor Jesús García Morales. (2014) Improving organisational performance through reverse logistics. Journal of the Operational Research Society 65:6, pages 954-962.
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Hao Yu & Wei Deng Solvang. (2017) A carbon-constrained stochastic optimization model with augmented multi-criteria scenario-based risk-averse solution for reverse logistics network design under uncertainty. Journal of Cleaner Production 164, pages 1248-1267.
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Ali Zolghadr Shojai, Jamal Shahrabi & Masoud Jenabi. 2014. Exploring Innovative and Successful Applications of Soft Computing. Exploring Innovative and Successful Applications of Soft Computing 281 316 .
Abbas Mirakhorli. (2013) Fuzzy multi-objective optimization for closed loop logistics network design in bread-producing industries. The International Journal of Advanced Manufacturing Technology 70:1-4, pages 349-362.
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Didem Cinar, Gül Tekin Temur & Y. Ilker Topcu. 2014. Supply Chain Management Under Fuzziness. Supply Chain Management Under Fuzziness 639 654 .
Gül Tekin Temur, Tolga Kaya & Cengiz Kahraman. 2014. Supply Chain Management Under Fuzziness. Supply Chain Management Under Fuzziness 591 606 .
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Dale S. Rogers, Zachary S. Rogers & Ronald Lembke. (2010) Creating value through product stewardship and take‐back. Sustainability Accounting, Management and Policy Journal 1:2, pages 133-160.
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Abbas Mirakhorli. (2010) Multi-objective optimization of reverse logistics network with fuzzy demand and return-product using an interactive fuzzy goal programming approach. Multi-objective optimization of reverse logistics network with fuzzy demand and return-product using an interactive fuzzy goal programming approach.

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