Volume 15, Issue 4 (1-2019)                   2019, 15(4): 121-149 | Back to browse issues page

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aghajani M, Safaei Ghadikolaei A, Aghajani H, Valipour Khatir M. Fuzzy Mathematical Programming Model for Designing Sustainable Supply Chain: A Comparative Study. Journal of Operational Research and Its Applications. 2019; 15 (4) :121-149
URL: http://jamlu.liau.ac.ir/article-1-1731-en.html
Department of Industrial Management, University of Mazandaran, Babolsar, Iran.
Abstract:   (2388 Views)
In this paper, a fuzzy mathematical programming model is proposed for designing a sustainable multi-product, multi-stage supply chain (including, purchase, production and distribution) under the competition and uncertainty conditions.  The sustainability measures in each of the sustainability dimensions were extracted using earlier conducted research as well as the SCOR model and then were localized using the Delphi method. The obtained fuzzy model is converted to a crisp one by using Jimenez model. The solving approach is based on the Triple Bottom line model and the Nested model. As each model has its own characteristics, in order to determine the relations between the indices and the importance of each indicator and its application, the DANP and DEMATEL methods were used respectively.  In order to indicate the efficiency of the model and the solution approach, a real example is presented in refractory products industry, and finally the obtained results are analyzed and compared based on the two models and suggestions are presented.
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Type of Study: Research | Subject: Special
Received: 2018/04/10 | Accepted: 2018/10/26 | Published: 2019/01/15

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