Multi-scene multi-commodity chain convenience store site selection optimization method in competitive environment

Abstract

The invention discloses a multi-scene multi-commodity chain convenience store site selection optimization method in a competitive environment, and the method comprises the following steps: determiningthe constraint of a chain convenience store site selection problem for the consideration of the travel cost of enterprise commodity distribution and vehicle dispatching; describing a store site selection process of the consumer by using a random utility theory, and determining influence factors and specific parameters influencing decision making of the consumer; establishing a multi-commodity chain convenience store site selection model under the constraint of the store number, and maximizing the store area popularity of a convenience store enterprise; considering the influence of the consumer characteristic difference on the convenience store site selection strategy, and establishing a multi-commodity chain convenience store site selection model based on user portrait subdivision in twotypical scenes; designing a linearization conversion method of a target function, and converting the nonlinear site selection model into a mixed integer programming model; searching basic parameters of a to-be-selected site, a competitive storefront position, consumer demands and other site selection problems; and performing calculating to obtain the optimal site selection point and the corresponding store area popularity in various scenes.

Description

technical field [0001] The invention provides an optimization method for solving the site selection problem of chain convenience stores, which belongs to the technical field of facility site selection; in particular, it studies the site selection problem of multiple commodities and multiple facilities in a competitive environment, and considers the characteristics of consumers for the most optimal location. Based on the influence of location strategy, a multi-scenario chain convenience store location optimization model is established. Background technique [0002] With the rapid development of the economy, the purchasing power and shopping needs of consumers have also increased significantly. Convenience store enterprises have achieved considerable development in my country with the goal of satisfying consumers' medium and small-scale shopping needs. In 2018, the sales of convenience stores in China reached 226.4 billion yuan, the number of stores reached 120,000, and the i...

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Problems solved by technology

[0005] The site selection optimization model proposed by the present invention mainly considers the typical multi-commodity and multiple-facilities site selection and the multi-commodity and multiple-facilities site selection that considers the impact of consumer characteristics. The problem of differences in consumer choices caused by the completely different characteristics of the products sold. The existence of such characteristics makes it difficult for the traditional model to obtain an ideal solution when considering a single product for location selection.

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