Performance Analysis of Indian Railway Zones using MCDM Approaches

Soumyadeep Ganguly; Sugata Ray Chaudhury; Abheek Mukherjee; Amalendu Si

doi:10.31181/dma31202549

Authors

Soumyadeep Ganguly Information Science, Maulana Abul Kalam Azad University of Technology, West Bengal, India https://orcid.org/0009-0004-5406-1930
Sugata Ray Chaudhury Information Science, Maulana Abul Kalam Azad University of Technology, West Bengal, India https://orcid.org/0009-0006-0114-362X
Abheek Mukherjee Information Science, Maulana Abul Kalam Azad University of Technology, West Bengal, India https://orcid.org/0009-0000-6078-380X
Amalendu Si Information Science, Maulana Abul Kalam Azad University of Technology, West Bengal, India https://orcid.org/0000-0002-4203-2356

DOI:

https://doi.org/10.31181/dma31202549

Keywords:

MCDM, Indian Railways, Supply chain management, Data analysis

Abstract

The study aims to enhance the efficiency and effectiveness of Indian Railways (IR), a public sector infrastructural organization, through a performance analysis using various Multi-Criteria Decision-Making (MCDM) methods. Analyzing the Indian Railway’s open data, the study optimizes and ranks the zones of IR, offering insights for targeted investments to boost future performance. This research holds value by furnishing managerial perspectives, formulating strategies, and elevating the performance of different zones within Indian Railways. Through the identification of improvement areas, the analysis empowers decision-making, facilitating overall enhanced performance. MCDM, Indian Railways, Supply and demand, Data analysis.

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