Abstract:

The coal pit price is affected by the relationship of supply and demand. By considering the pricing mechanism of coal pit price, this paper takes the volume of coal allocation from one place to another as the decision variables, and aims at minimizing the total cost of coal circulation. Two models are constructed to optimize the coal allocation, which are from the perspective of managers and consumers respectively. Genetic algorithm and Floyd algorithm are used to optimize the coal allocation in China. Some factors influencing coal allocation are analyzed, which are the price mechanism, and the ratio of available coal and consumption coal. The result shows that the generalized cost of coal allocation is lower by considering consumer competition. With the increase of the ratio of available coal and consumption coal, the cost of coal circulation in the dynamic price goes down faster than in fixed price.

Key words: integrated transportation, coal allocation, genetic algorithm, dynamic price, consumer competition

摘要：

煤炭坑口价格的变化与市场供求有重要联系.本文在煤炭坑口价格动态定价的基础上，以煤炭产地和消费地间的煤炭调运量为决策变量，以煤炭流通过程中的总费用最小化为目标，分别构建了煤炭调运系统优化模型和考虑消费者竞争的煤炭调运优化模型，设计了遗传算法和Floyd 算法相结合的求解算法.以我国内地煤炭调运问题为案例，分析了价格变化特性、可调出量与消费量比例等因素对煤炭调运方案的影响.结果表明，考虑消费者竞争时煤炭流通广义费用更低；随着煤炭可调出量与消费量比的增加，动态价格较固定价格的煤炭流通广义费用下降更快.

关键词: 综合交通运输, 煤炭调运方案, 遗传算法, 动态定价, 消费者竞争