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OPTIMISING LOCOMOTIVE SCHEDULING IN RAILWAY OPERATIONS: TECHNIQUES, CHALLENGES, AND A FRAMEWORK FOR INDIAN RAILWAYS

Adarsh Ramachandran

Research Scholar, Department of Mechanical Engineering, Govt. Engineering College, Kottayam, (Rajiv Gandhi Institute of Technology), Research Centre affiliated to APJAKTU

Swapnesh. S

Asst. Professor, Department of Mechanical Engineering, Govt. Engineering College, Idukki

Abstract

Locomotives are one of the significant capital-intensive components in a railway system. Asystematic locomotive assignment has a high potential for productivity enhancement and cost savings. The locomotive scheduling problem in railways involves optimally allocating and managing locomotives to ensure efficient train operations. Due to the scale of the problem and the large number of practical constraints, finding an optimal assignment is a complex problem. Researchers have attempted to tackle this problem in different railway systems worldwide. This paper presents an overview of the techniques used and the state-of-the-art in this domain. In the Indian context, the publications in this domain are scarce. The literature review underscores the importance of systematic locomotive assignment for productivity enhancement and cost savings in railway operations. Mathematical models and algorithms, including heuristics, linear programming, and integer programming, are the usual solutions methodologies used to balance these conflicting needs and restrictions and increase the overall efficiency of railway operations. We also present a framework for locomotive scheduling for Indian Railways considering the maintenance constraints. This framework tries to accommodate the unique challenges faced by the Indian railway system, such as diverse locomotive types and varying operational conditions. By adopting and implementing the discussed structured mathematical models or heuristic techniques, Indian Railways can potentially enhance its operational efficiency and reduce costs.

Keywords- Railway Operations Management, Productivity, Locomotive Scheduling

Volume (2025)

Number 5 (May)

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