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机构地区:[1]合肥工业大学机械与汽车工程学院,安徽合肥230009
出 处:《物流技术》2016年第6期44-49,145,共7页Logistics Technology
基 金:国家863计划资助项目"退役家电产品逆向物流关键技术研究与示范"(2013AA040205)
摘 要:为降低废旧家电回收库存成本,优化回收过程库存控制策略及库存控制参数,结合当前的废旧家电回收流程,构建了包含收集点、回收中心和回收工厂的三级开环逆向供应链。根据废旧家电产品到达各收集点服从参数不同的泊松分布,提出收集点和回收中心的批量送货策略;以一个运作周期内的库存成本为控制目标,建立一种随机环境下的三级回收体系逆向物流库存模型。应用改进的遗传算法求解模型,得到了收集点与回收中心的最优送货量和送货时间,及其在一个运作周期内的平均回收费用。最后,通过算例验证了模型的可行性。并在此基础上,分析了废旧家电的平均到达率对库存控制策略的影响。In this paper,in order to lower the expenses in the recycling and inventory of waste electrical appliances,and optimize the strategy and parameter of inventory control in the recycling process,and in view of the current waste electrical appliance recycling process,we established the three-echelon open-looped reverse supply chain comprising the collection points,recycling center and recycling factory.Then we proposed the batched cargo delivery strategy for the collection points and recycling center and established the reverse logistics and inventory model for the three-echelon recycling system under the stochastic environment.Next,using the improved genetic algorithm,we derived the optimal delivery volume and time for the collection points and recycling center,as well as the average recycling cost in one operational cycle.At the end,we verified the feasibility of the model,on the basis of which we analyzed the influence of the average arrival ratio of the waste electrical appliances on the inventory control strategy.
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