考虑缺货的闭环供应链选址-库存-路径集成优化

再制造是企业实现环境友好、提升经济效益的重要策略之一;再制造的发展推动了新商业模式的出现,即产品服务系统;高效的再制造物流网络对于成功实施再制造十分重要。本文研究了基于产品服务系统下的再制造物流网络集成优化问题,即闭环供应链的选址-库存-路径的集成优化决策问题,且在库存策略中允许库存出现缺货的情况;论文基于产品服务系统模式构建了混合非线性规划模型来最小化生产、选址、配送、库存以及缺货成本,并采用了改进的禁忌搜索算法进行求解。通过与传统禁忌搜索算法的计算结果进行对比,表明本文中的算法能在可接受的时间内得到较优解。通过算例的敏感性分析得出,企业所服务的顾客如果接受再制造产品,提高回收率可以节约成本;在回收率一定时,客户在缺货情形下的制造和再制造批量比不允许缺货时要大,企业总成本比不允许缺货时要小。

Integration Optimization Research on Location-Inventory-Routing Problem Considering Out-of-Stock Strategy in Closed-loop Supply Chain

Remanufacturing is an important strategy for companies to achieve environmental friendliness and enhance economic efficiency. Remanufacturing network promotes the emergence of new business mode, namely product service system. The product service system can effectively solve the problem of remanufactured product acceptance. However, it has not considered the existing literature on remanufactured networks. This paper studies a location-routing-inventory problem considering out-of-stock strategy in a closed-loop supply chain. A mixed nonlinear program model is constructed to minimize the location, routing, inventory and out-of-stock cost. This paper proposes an improved tabu search to solve the problem. This paper demonstrates three results: (i)the algorithm proposed in this paper can obtain better solution than classical tabu search in an acceptable time. (ii)the numerical example results show that recycling products can improve the benefit of a company. (iii)when the recovery rate is constant, out-of-stock strategy can reduce operational costs.