چكيده به لاتين
Abstract:
In this study, a closed-loop supply chain network is designed under conditions of uncertainty, consisting of production-reproduction, distribution, collection-inspection and disposal centers. A review of the studies has identified the gaps in this field. Among them, the economic justification for the construction of each center, by determining the economic level of production by means of break-even point.To increase the network's profit, it is intended to provide financial incentives for purchasing end-of-life products that are used to produce reproduction products. In the real world, the increase in costs does not necessarily occur linearly, which is examined in this study. Locating the centers from potential locations, determining the capacity, the number of means of transport needed and determining the optimal quantities of manufactured products-reproduction are some of the decision variables. Finally, a multi-objective mixed integer model is proposed to maximize network profits, environmental compatibility and minimize financial risk. With the goal attainment, this three-objective model has solved. A robust optimization approach is used to investigate the uncertainty in demand, returned products, disruption, and coverage radius. The effective parameters of the sensitized analysis and the results show that considering the economic level of production with the help of the break-even point leads to a reduction in network costs. Also, it is not necessary to cover demand at any distance from distribution centers. The optimal radius of coverage is extracted, which in the larger range, the profit will be reduced.
