Journal of Transportation Research

Journal of Transportation Research

Location of passenger relief locomotives (Siemens) to eliminate the network disruption caused by the line blockage in the context of a shortage of these locomotives

Document Type : Original Article

Authors
1 M.Sc., Grad.,, Faculty of Industrial & Systems Engineering, Tarbiat Modares University, Tehran, Iran.
2 Professor, Faculty of Industrial & Systems Engineering, Tarbiat Modares University, Tehran, Iran.
3 Associate Professor, Faculty of Industrial & Systems Engineering, Tarbiat Modares University, Tehran, Iran.
4 Assistant Professor, Faculty of Industrial & Systems Engineering, Tarbiat Modares University, Tehran, Iran.
Abstract
The following article discusses passenger locomotives as one of the most valuable assets of the Iran Railway Company and tries to find a solution to reduce the impact of the failure of these locomotives during movement, taking into account the operational conditions in this company. At this time, when most of these types of equipment are unused in the depot of the railway company due to the lack of parts and the lack of a specialized repair program, it is necessary to use their maximum potential to carry out the daily operations of passenger movement. On the other hand, the lack of a proper maintenance program for these equipment has caused the frequency of breakdowns of these equipment to increase during movement and cause line blockages and disruptions in the rail network, which also requires a number of these passenger locomotives individually to rush to help the trains left on the track. The problem presented in this research is to create a solution for the simultaneous use of these equipment and other locomotives in other departments, such as freight and shunting so that when a passenger locomotive breaks down on the track, they are dispatched to fix it to reduce the operating load of passenger locomotives. For this purpose, this research tries to solve this problem by solving a scenario-based stochastic Programming model with simple recourse by examining the breakdown history of passenger locomotives and also identifying the busy routes of freight and shunting locomotives to determine the best stations for the deployment of these locomotives as a reserve. This problem was solved through the CPLEX solver for 131 scenarios, and by obtaining an optimal deployment for relief locomotives, it was shown that the current deployment used in the Iranian railway network is not optimal in terms of productivity.
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