ABSTRACT

In this study, a new combined framework based on the methods of Multiple-criteria decision-making and mathematical planning was provided in order to select the Road Sections (RS) to carry out Maintenance and Repair Operation (MRO) in order to maximise the reliability of using roads. At first, using Multiple-criteria decision-making of the Best-Worst Method (BWM) and Grey Relational Analysis (GRA) methods, the weight of each RS for each MRO was defined, which can be considered as the amount of improvement in every section for the implementation of each MRO. Then, using a mathematical model, the optimal decision was specified to implement MRO for each RS. According to the calculation results, the fracture level on the road with the weight of 0.159 is the most important criterion and the lack of light with the weight of 0.074 is the least important criterion for selecting the type of MRO. Also, using the results of the mathematical model creates a confidence level of more than 93 percent in using all the section of road, which shows 14.8 percent improvement compared to the current situation. Also, the robust model results have also shown that as the level of uncertainty level rises along with the increase in the robust value, the road reliability decreases.

摘要

在这项研究中，提供了一个基于多准则决策和数学规划方法的新组合框架，以选择路段（RS）进行维护和维修操作（MRO），以最大限度地提高可靠性。使用道路。首先，使用最佳最差方法（BWM）和灰色关系分析（GRA）方法的多准则决策，定义了每个 MRO 的每个 RS 的权重，可以认为是每个 MRO 的改进量每个 MRO 的实施部分。然后，使用数学模型，指定最佳决策来为每个 RS 实施 MRO。根据计算结果，以0.159权重的道路断裂水平为最重要的判据，权重为0的缺光度为最重要的判据。074 是选择 MRO 类型最不重要的标准。此外，使用数学模型的结果创建了超过 93% 的使用所有路段的置信度，与当前情况相比，提高了 14.8%。此外，鲁棒模型结果还表明，随着鲁棒值的增加，不确定性水平的提高，道路可靠性降低。