铁路空车调配综合优化模型及求解

摘要

以铁路企业经济效益最大化、货物运输需求方(货主)满意度最大化和空重车调配路径最合理化为目标函数构建铁路空车调配多目标综合优化模型.模型的约束条件主要包括:空车供应站的车种供应量、以重代空最大运量和剩余装车作业能力；空车运输阶段的区段运输能力；空车需求站的剩余卸车作业能力、车种需求量和货物装运总量.根据调研资料确定模型求解参数的取值；通过简化路径参数、量纲转换处理,将多目标规划转换为单目标规划；运用LINGO软件实现综合优化模型的二次建模；运行LINGO程序得到铁路空车综合调配方案.%With the maximization of railway enterprise's economic benefit, the maximization of cargo transport demanders' (shippers') satisfaction and the most reasonable path of railway empty and load car allocation as objective functions, the multi-objective integrated optimization model for railway empty car allocation was established. The constraints of the model mainly included three compositions; the car type supply quantity, the maximum transportation volume of substituting load car for empty car and the residual ability of loading operation in empty car supply station; the sections' transport capacity during empty car transportation; the residual ability of unloading operation, car type demand quantity and the gross shipping weight in empty car demand station. The value of model solution parameters were determined based on the detailed investigation. Through the simplification of path parameter and dimension conversion treatment, multi-objective programming was converted into single-objective programming. LINGO software was used to achieve the second modeling of the integrated optimization model. The integrated allocation plan for railway empty car was obtained by running LINGO program.