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International Journal of Transportation Engineering، جلد ۹، شماره ۱، صفحات ۵۲۱-۵۳۶

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عنوان انگلیسی A Social Engineering Optimizer Algorithm for a Closed-Loop Supply Chain System with Uncertain Demand
چکیده انگلیسی مقاله This paper presents a new model for a closed-loop supply chain problem under uncertainty. This model considers production, distribution, collection, recycling and disposal of items simultaneously. Because of the increased importance of the environmental factors, this model focuses on the revers flow of the supply chain and considers different types of technology for recycling centers. The model aims to minimize the establishment cost of centers, shipment cost, holding cost, collection cost and recycling cost. To face with uncertain parameters, a credibility-based possibilistic programming method is applied. Then, a social engineering optimizer algorithm is proposed to solve the problem efficiency. To validate the model and proposed algorithm, the results are compared with the results of GAMS. In addition, they prove the superiority of the proposed algorithm over a genetic algorithm to deal with problems and find better results in less running time. Finally, the behavior of the model is assessed by changing the values of parameters and the results are reported.
کلیدواژه‌های انگلیسی مقاله Closed-loop supply chain,Uncertainty,social engineering optimizer

نویسندگان مقاله Soroush Aghamohamadi |
MSc. Student, School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

Masoud Rabbani |
Professor, School of Industrial Engineering, University f Tehran, Tehran, Iran

Reza Tavakkoli-Moghaddam |
UnProfessor, School of Industrial Engineering, University f Tehran, Tehran, Iran


نشانی اینترنتی http://www.ijte.ir/article_89868_d380735e5dd02754dee01fbe878ea0f6.pdf
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