考虑碳排放的多周期电商逆向物流网络构建

The Research for Multi-period Reverse Logistics Network with Consideration of Negative Effect for Residents

目前网购废旧服饰或退换货服装数量日益增多,而解决废旧服饰或退换货服装的逆向物流网络却十分欠缺。针对这一问题,文章构建了考虑碳排放的多周期逆向物流网络模型,结合遗传算法(GA)进行验证,并检验了构建模型的有效性。结果表明,与传统的单周期系统相比,文章构建的多周期系统具有动态性、系统总成本达到最低、碳排放明显减少的优点。同时此研究也为构建多周期逆向物流网络,提高周边居民满意度提供了借鉴。

There is an increasing number of returned E-commerce apparel and recycled of waste clothes, however, the networkconstruction of reverse logistics for solving returned and recycled apparels is short. A model of multi-period reverse logistics net-work with consideration of carbon emission for residents is designed to overcome this problem. Then the feasibility of the designis validated through a numerical example by applying GA. The results reveal that the multi-period system is dynamic and theoperational cost is minimized with decreasing of carbon emission for residents. Furthermore, this paper could give a reference forbuilding a reverse logistics network which reduces negative effect for residents.