Distribution optimization of the specialized car repair store based on the maximization of market share

Abstract

With the improvement of people's living standard, car has become an indispensable means of transportation, and the specialized car service industry is developing rapidly. Therefore, for the car repair stores, it is the core issue to choose suitable location according to the characteristics of car owners and existing competition. This study puts forward a model aiming at the maximum profit rate considering choice preference of car owners, competition, consumption capacity of owners, and capital limit. Then, a genetic algorithm improved in four aspects is proposed to solve the proposed model. Finally, an example and a case study of Dalian expound the application of the proposed models and algorithms in practice. It proved to be effective to China's national conditions through the analysis of the results.

Intelligent manufacturing/production systems: Modeling, algorithms, and optimization

“…These methods are highly relevant for manufacturing systems with fixed takt times. Gu et al 2 propose a genetic algorithmbased approach to decide on the allocation of car repair stores to ensure the proper allocation of these compared to expected utilization. The approach is a good illustration of the need to apply meta-heuristics to large-scale NP-hard decision problems.…”