在资金预算不确定条件下路面维护和修复项目管理决策优化方法

发布时间：2018-05-06 08:46

本文选题：交通工程 + 路面管理系统　；参考：《交通运输系统工程与信息》2014年06期

【摘要】：一个得到良好开发和维护的路面管理系统(PMS)能够帮助管理者做出在什么时候,对哪些路段采用什么样的路面维护和修复方案的决定,从而实现可用资源的最大化.本文提出一种在资金预算不确定条件下路面维护和修复项目管理决策优化方法(MPMRPBU),为确保管理者在一个决策规划时段内,从公路网中选择并优化一组路面维护和修复方案,建立随机线性规划模型求解MPMRPBU问题.通过案例分析,比较在确定性优化和随机规划两种不同条件下的优化方案,研究不同经济预算对优化方案的影响.结果表明,采用随机规划方法能产生高质量的MPMRPBU解决方案,该算法可以解决实际问题.
[Abstract]:A well-developed and maintained pavement management system (PMSs) can help managers to make decisions about when and what pavement maintenance and repair schemes should be adopted to maximize the available resources. In this paper, a decision optimization method for pavement maintenance and repair project management under uncertain financial budget is presented. In order to ensure that the manager selects and optimizes a group of pavement maintenance and repair schemes from the highway network during a decision-making planning period. A stochastic linear programming model is established to solve the MPMRPBU problem. Through the case study, the optimization schemes under two different conditions of deterministic optimization and stochastic programming are compared, and the effects of different economic budgets on the optimization schemes are studied. The results show that a high quality MPMRPBU solution can be generated by using stochastic programming method, and the algorithm can solve practical problems.
【作者单位】：北卡罗来纳大学夏洛特分校土木与环境工程系;杰克逊州立大学土木与环境工程系;
【分类号】：U418.6

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