Study On Location Model For Fresh Products E-commerce O2O Community Stores Based The Improved Maximum Coverage Model

With the growing maturity of the development of fresh products E-commerce,the fresh cold-chain distribution market also emerges.The fresh food E-commerce,also known as the final piece of the blue ocean in the field of E-commerce,now leads the logistics industry.Among the development of many fresh products E-commerce,transportation and delivery has received significant attention,which concerns not just about the shipping cost,also affects the customer experience of the tail end consumers.So the layout of offline stores try to take advantages of the O2O mode to maintain existing customers,this act of improving customers’ experience has won an increasing number of experts’ and corporates’ recognition,some even have begun to explore the market and try it out.While in exploring the O2O mode of fresh products E-commerce,layout and site selection of offline community stores have become one of the most important issues.In this paper,we study the problem of location selection of fresh products e-commence community stores.In view of the shortage of coverage and service time in the problem of traditional business facilities location selection,this paper solves the problem of demand coverage and service time by using the maximum coverage location model and service coverage path concept.There are differences between the site selection of fresh products e-commence community stores and the location of traditional commercial facilities and the public service facilities.By comparing the influence factors of traditional location methods,some influential factors are related,and the influence factors of community stores are summed up.There are the population size,the population structure and the income level,and the corresponding influence coefficient α,β and m are obtained through the analysis of the specific data.Each influencing factor plays a decisive role in calculating the demand of each community Role,according to the impact factor to calculate the demand for each demand point.The demand is the ultimate goal of optimal decision-making basis,while the community store location taking into account the construction cost and construction quantity constraints,using the maximum coverage model to meet all the needs of the community store coverage,while covering the maximum demand.In the process of modeling,the paper takes into account the characteristics of fresh products e-commence and consumers’ demands,and incorporates the time satisfaction degree of consumers,and puts forward the concept of coverage path when judging whether the community is covered or not.As the delivery speed and distance are known,the distribution time between each point is determined according to the delivery speed and distribution distance,and the time is the satisfaction criterion of consumer service.The shorter the time is,the higher the satisfaction is.When the time exceeds the predetermined,It is determined that the area is not in the coverage area.Through the combination of qualitative analysis and quantitative analysis,this paper gives the maximal coverage location model,which is redefined from the view of time and coverage path,and gives the optimal scheme through concrete case solving.