Logistics distribution center site selection method and device for community fresh food chain store

Abstract

The invention discloses a logistics distribution center site selection method and device for a community fresh food chain store. The method comprises the following steps of evulating distribution center site selection suitability from the perspective of multiple land suitability evaluation factors by utilizing multiple GIS spatial analysis methods; determining the weight of each factor by using anAHP analytic hierarchy process, and comprehensively evaluating the land suitability by using a grid overlay analysis method to obtain a distribution center candidate position; predicting online and offline demands of demand points (community fresh chain stores) by using house prices, population, urban thermal data and the like; and based on the candidate positions and the demand quantity of the demand points, establishing a P-median model, and solving by using a greedy take-away heuristic algorithm to obtain a final site selection result of the distribution center. According to the invention,various factors of the supply point and the demand point can be comprehensively considered, and scientific and reasonable site selection is carried out on the logistics distribution center of the fresh food chain store, so that the layout rationality of the logistics distribution center is improved.

Description

technical field [0001] The invention relates to the technical field of site selection planning, in particular to a site selection method and device for a logistics distribution center of a community fresh food chain store. Background technique [0002] In recent years, with the development of my country's economic level, changes in the family population structure, people's increasing demand for healthy food safety, and the differentiation of retail formats, community fresh food chain supermarkets, which can meet the multi-level living needs of community residents, have become popular in China. China's rapid expansion has proven to be the future development trend. Fresh products have the characteristics of short shelf life and perishability. Community fresh food chain supermarkets often need to establish regional cold chain logistics distribution centers to quickly and timely deliver fresh products to community chain stores to ensure the freshness of commodities. Scientific s...

AI Technical Summary

Problems solved by technology

However, the existing models and methods have the following deficiencies: 1) The continuous site selection model mainly selects sites based on the location and demand of demand points, while the discrete site selection model often selects candidate locations based on the candidate locations selected in the previous research. site selection based on transportation costs between the point and the demand point

The above models mainly aim at economic benefits and optimize the location problem, but lack quantitative evaluation of the suitability of the location of the supply point (distribution center) from the perspectives of natural environment, infrastructure, and land use planning.

2) Due to the characteristics of seasonality and demand uncertainty of fresh products, and the lack of historical sales data of newly built community stores, especially with the development of O2O business models, many fresh food chain stores adopt "online + offline" new retail mode, the traditional time series forecasting method is difficult to meet the needs of fresh food chain store demand forecasting

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