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   A dual-channel network design model in a green supply chain considering pricing and transportation mode choice  
   
نویسنده Barzinpour Farnaz ,Taki Peyman
منبع journal of intelligent manufacturing - 2018 - دوره : 29 - شماره : 7 - صفحه:1465 -1483
چکیده    A green supply chain with a well-designed network can strongly influence the performance of supply chain and environment. the designed network should lead the supply chain to efficient and effective management to meet the efficient profit, sustainable effects on environment and customer needs. the proposed mathematical model in this paper identifies locations of productions and shipment quantity by exploiting the trade-off between costs, and emissions for a dual channel supply chain network. due to considering different prices and customers zones for channels, determining the prices and strategic decision variables to meet the maximum profit for the proposed green supply chain is contemplated. in this paper, the transportation mode as a tactical decision has been considered that can affect the cost and emissions. lead time and lost sales are considered in the modeling to reach more reality. the developed mathematical model is a mixed integer non-linear programming which is solved by gams. due to np-hard nature of the proposed model and long run time for large-size problems by gams, artificial immune system algorithm based on clonalg, genetic and memetic algorithms are applied. taguchi technique is used for parameter tuning of all meta-heuristic algorithms. results demonstrate the strength of clonalg rather than the other methods.
کلیدواژه Supply chain network design ,Mathematical model ,Greenhouse gases emissions ,Pricing ,Artificial immune system ,CLONALG
آدرس Iran University of Science and Technology, Department of Industrial Engineering, Iran, Iran University of Science and Technology, Department of Industrial Engineering, Iran
 
     
   
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