Robust optimization model for closed-loop supply chain planning under reverse logistics flow and demand uncertainty

摘要: Abstract Awareness of environmental pollution, interest in recycling, and the importance closed-loop supply chain management are all on rise. In a chain, production planning is influenced by uncertainty not only from customers’ demand, but also collectors due to difficulties reverse logistics flow. Therefore, it important develop robust model respond logistics. this study, we deterministic mixed-integer optimization counterparts cope with recycled products customer demand fashion industry. We show that counterpart budget equivalent box under special conditions. To avoid conservatism solution, an alternative problem developed take advantage uncertainty. verify performance proposed model, numerical experiments conducted. The simulation results responds robustly superior other counterparts.