【摘 要】
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Transportation infrastructure systems are vital to the welfare of modern society.The management of maintenance and rehabilitation activities of the transportation infrastructure systems mainly focus o
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Transportation infrastructure systems are vital to the welfare of modern society.The management of maintenance and rehabilitation activities of the transportation infrastructure systems mainly focus on two types of problems: 1)the planning problem,in which an agency with a limited budget identifies suitable maintenance treatments for the facilities and decide at which year the activities should be performed,and 2)the scheduling problem,in which the agency develops a schedule to incorporate the time at which the maintenance treatments begin and end based on the availability of daily resources.Existing studies mainly focus on the maintenance planning problem of selecting the maintenance treatment for the overall benefit of the system without considering the scheduling of daily works.However,without the proper scheduling of maintenance activities,these approaches are far less effective and could lead to overplanning of maintenance activities and shortage of resources.Motivated by these facts,this paper proposes to address the integration of planning and scheduling of transportation infrastructure maintenance activities.In this paper,a mixed integer linear programming formulation was developed to help the planning and scheduling of maintenance activities and a heuristic algorithm was proposed to solve the problem efficiently.Example networks were tested for the performance comparison between the CPLEX solver and the heuristic algorithm.The results show that the proposed model can help transportation agencies better manage their maintenance and rehabilitation activities..
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