The Optimization Strategy Of Distribution In Commercial Concrete

The commercial concrete is an important materials of building, its use has been increased year by year. Because the concrete has itself physical characteristics and the personnel, equipment, weather, geography, traffic conditions on construction site have variety of merchandise, the distribution of the commercial concrete has great challenge effect. As market competition intensifies, commercial concrete delivery efficiency cost, quality not only affects the utilization of social resources, but also affect the core competitiveness of enterprises. And commercial concrete distribution occupy a larger proportion in the total business sales enterprise cost of commercial concrete, but also is a key link affecting overall customer satisfaction. In this context, in this paper do the following:First of all, according to the characteristics of the concrete industry systematic analysis distribution characteristics, distribution process, influencing factors, and summed up the results of the analysis concrete distribution of the status problem. Secondly, under the context put forward few valuable optimization strategy:integration of the concrete market, the establishment of the database of the concrete industry, the use of advanced information technology, win-win model built with customers, optimize the distribution route, optimize the distribution center location, optimize vehicle scheduling problem and so on.Then, the two most important issues for distribution optimization distribution center location optimization and concrete vehicle to mobilize optimize a detailed analysis. Which, to the distribution center location optimization strategies build distribution center location optimization model, and the center of gravity combined with the specific case to answer, the model and algorithm practical significance.Concrete vehicle to mobilize optimization strategy optimization model and a genetic algorithm, using C++editing system program on the computer to solve, combined with specific cases to verify the validity of the model and algorithm. Finally, the summary of the full text, point out that article the lack of research and future research directions.