Indian Railways has a fleet of about 3300 Electric and Diesel locomotive running passenger trains across the country. Railways to use mathematical formula to maximise Loco usage, increase revenue.
NEW DELHI: Now, a mathematical formula will be used to optimise the productivity of passenger trains by determining the number of locomotives required for each train, the railways said today.
Indian Railways has introduced an innovative analytical approach to optimize the deployment of electric and diesel locomotives run passenger trains. This involves use of a software based mathematical decision support system to increase the productivity of locomotives.
Indian Railways has a fleet of about 3300 electric and diesel locomotive running passenger trains across the country. Locomotives are deployed to run passenger trains through cyclic schedules called locomotive links. Hitherto, locomotive links were being manually prepared by the respective sixteen zones to operate the trains allocated to the zones.
Ministry of Railways, with the help of experts, has evolved and implemented the software based decision support system to optimize the deployment of locomotives to run passenger trains at an all India level.
The decision support system utilizes a mathematical model to work out the minimum number of locomotives required to run all the passenger trains as per time table while meeting the maintenance and operations requirements.
A pilot optimization exercise has been conducted by Transformation Cell of Railway Board, with active participation of all the sixteen zonal railways.
This has resulted in reorganizing of locomotive links, which will save 30 diesel and 42 electric locomotives (costing about Rs.720 crores) being currently run in passenger services.
The revised links are under implementation. These 72 locomotives released from passenger operations will be utilized to run additional freight trains and earn additional revenues.
The Railway Ministry in budget 2018-19 sanctioned a project to be implemented by Centre for Railway Information Systems (CRIS) to institutionalise this process of locomotive link optimisation using decision support system software.