Study On The Location-Routing Problem Of Fresh Pre-position Warehouse Considering Customer Perceived Value

In recent years,China’s fresh food e-commerce has developed rapidly,and the Covid-19 in 2020 has further promoted the integration of fresh food e-commerce supply chain and the optimization of distribution channels.On the supply side,the market for agricultural products is not smooth,and farmers have entered the fresh food e-commerce platform in order to broaden the market,and the demand for online purchase of fresh products on the demand side has surged.And with the improvement of the quality of life of residents,customers pay more attention to the quality and delivery timeliness of fresh products.Therefore,in order to convert incremental customers into stock customers,fresh product sales have gradually developed into a pre-front warehouse model for community distribution.However,the current location selection and distribution route planning of the pre-front warehouse are mainly based on the subjective experience of the managers.There are problems such as difficult management,unbalanced supply and demand,overlapping service ranges,low product freshness,and high distribution costs,which are not conducive to the healthy development of fresh food e-commerce companies.Therefore,scientific layout of the pre-front warehouse and optimization of the distribution path can not only reduce the logistics cost of fresh food e-commerce enterprises,enhance the competitiveness of the enterprise,but also improve customer satisfaction.From the perspectives of customer perceived value and freshness of fresh products,this paper introduces fuzzy mathematics to describe the demand,and conducts research on the location-routing problem of the pre-front warehouse.First,based on the K-means clustering algorithm,make a preliminary decision on the location of the pre-front warehouse-the allocation of demand points;then establish a pre-front warehouse location-routing decision optimization model that considers customer perceived value,and solve it through a two-stage immune optimization algorithm-ant colony algorithm.Obtain the location layout of the pre-front warehouse and the distribution route plan;Finally,carry out the sensitivity analysis of the freshness rate of fresh products,and discuss the cost changes of the fresh pre-front warehouse under different freshness rates.The main research work is as follows:(1)The location of the pre-front warehouse-a preliminary decision on the allocation of demand points.The demand point data is processed through the python crawler,and the K-means clustering algorithm is used to cluster many demand points according to their geographic location and mutual distance,turning the location of the pre-front warehouse into a general location problem.The K-means cluster is used to determine the demand point group,and then the second cluster is performed to obtain the candidate point information,which is convenient for the subsequent research on the location of the pre-front warehouse-routing decision optimization.(2)Put forward the concept of fresh product storage freshness rate,carry out research on the capacity and operation of fresh food pre-front warehouse,and discuss the impact of fresh product storage freshness rate on the construction and operation of pre-front warehouse.(3)Establish an optimization model for location-routing decision-making of fresh food pre-front warehouses considering customer perceived value.Analyzing the impact of the perceived value of customer freshness on customer needs,and constructing a pre-position warehouse location-routing decision optimization model with the lowest total cost as the optimization goal.Based on the above research,combined with the actual situation,research on the location-routing problem of the pre-front warehouse of M fresh food e-commerce company in Gulou District,Nanjing City.Based on two-stage immune optimization algorithm ant colony algorithm,the immune optimization algorithm is improved.Find the location-routing integrated decision-making plan and related cost value when the freshness rate is 0.8.Verify the validity of the algorithm and the rationality of the model by comparison;the sensitivity analysis of the storage freshness rate is carried out to find the changes in the replenishment cost,operating cost and replenishment cycle of the pre-front warehouse under different freshness rates.Combining with the actual situation,the optimal location-demand point allocation plan,the capacity of the pre-front warehouse and the itinerant distribution path are given,and it provides a useful reference for the fresh food e-commerce enterprises to optimize the location-routing decision of pre-front warehouse.