动态价格约束下生鲜无人零售点选址-路径方法研究

Study on Location Routing Method for Unmanned Fresh Retailers Under Dynamic Price Constraints

“新零售”创新了生鲜无人零售的渠道和销售模式,通过研究网络化无人售货的技术优势,引入在线动态定价机制,解决了生鲜无人销售品控难、客户黏度低的问题,有效减低了系统综合成本;同时构建了一种面向生鲜商品的无人零售的干线和支线混杂配送模型,在多目标求解、问题解耦和PSO全局优化等方面进行突破,建立了一种动态价格约束下的带时间窗选址-路径二级运输模型(2E-dPLRPTW),并进行了案例验算,确认该方法能有效提升生鲜商品无人售卖的效益。

“New Retail”has innovated the channel and sales model of unmanned fresh food retail.Based on research conducted on the technical advantages of networked unmanned selling,with an online dynamic pricing mechanism introduced,the flaw of a poor quality control and a low customer viscosity in unmanned fresh food sales have been overcome,thus effectively reducing the overall cost of the system.Meanwhile,a hybrid trunk-and-branch distribution model for unmanned retail of fresh goods has been constructed,with breakthroughs made in multi-objective solution,problem decoupling,and PSO global optimization.A location path model with time windows for secondary transportation under dynamic price constraints(2E-dPLRPTW)has been established,followed by a case study to verify the effectiveness of the proposed method in improving the efficiency of unmanned sales of fresh goods.