CAJ | 학술논문

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。
일개득도량호개발화유호적로면관리계통（PMS）능구방조관리자주출재십요시후，대나사로단채용십요양적로면유호화수복방안적결정，종이실현가용자원적최대화。본문제출일충재자금예산불학정조건하로면유호화수복항목관리결책우화방법(MPMRPBU)，위학보관리자재일개결책규화시단내，종공로망중선택병우화일조로면유호화수복방안，건립수궤선성규화모형구해MPMRPBU문제。통과안례분석，비교재학정성우화화수궤규화량충불동조건하적우화방안，연구불동경제예산대우화방안적영향。결과표명，채용수궤규화방법능산생고질량적MPMRPBU해결방안，해산법가이해결실제문제。
A well-developed and maintained pavement management system (PMS) empowers a decision maker to select the best maintenance program, i.e., which maintenance treatment to use and where and when to apply it, so that a maximum utilization of available resources can be achieved. This paper addresses a decision making problem for managing pavement maintenance and rehabilitation projects under budget uncertainty (MPMRPBU). A stochastic linear programming model is formulated and solved for the MPMRPBU so that a set of candidate projects can be optimally selected from the highway network over a planning horizon. Numerical results are discussed based upon a pilot case study. Different optimization solutions based on deterministic optimization and stochastic programming approaches are discussed and compared. The effect of the budget constraint on the optimized solutions is investigated. The computational result indicates a high quality MPMRPBU solution using stochastic programming approach, suggesting that there is a potential that the algorithm can be used for real world applications.