| dc.description.abstract | The operation of Massive Transit System (MRT) covered related facilities such as construction, vehicle and environment, etc. In addition to the core equipment of electrical and mechanical systems, there were still lots of non-core equipment that were serving the passengers, and these non-core equipment were compatible with generic system in the private sector, therefore, the maintenance job of these non-core system can be appropriately considered, after the operation was stable, to be outsourced to professional service supliers. Meanwhile, the business operation department of the MRT can apply the maintenance budget more efficiently and focus on the electrical and mechanical part of the vehicle track.
In this study, focuses were put on the maintenance job for elevator and escalator and time and labor cost spent on maintenance in MRT system. Meanwhile, linear integer programming optimization model was used, after considering the maintenance time for periodical maintenance based on each station’s characteristic, the optimized maintenance scheduling and cost need were studied. In order to verify the reasonability and practicality of this model, the elevator and escalator of MRT station in airport was used as example for simulation; meanwhile, the labor cost of scheduling obtained using the constructed LINGO solution-finding model was compared to that of scheduling based on human experience, the result was used to verify that the scheduling generated by the optimization model of this study can indeed save more cost as compaed to the scheduling based on human experience. This study is applicable to the maintenance scheduling programming and maintenance cost related issues of MRT equipment, hopefully, the result can be used as basis by the decision maker for labor outsourcing expense, or as reference for manpower arrangement by itself.
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