Abstract

The Indian railway network is one of the largest rail networks that undergo continuous expansion. However, more reliable and safe service in-network is subject of growing attention in India but to work on these challenges is a cumbersome task as each factor is influencing each other. Studying these parameters is tedious task and will contribute significantly to improving the operations and overall management of railway network. The purpose of this research study is to identify and optimize different vulnerable factors that are affecting smooth functioning of railway network through identification of hierarchical correlations among parameters and prioritizing performing a specific order for identification and improvement. Thus keeping in mind the perspective the research is based on an integrated approach of DEMATEL (Decision-making trial and evaluation laboratory) and TISM (Total interpretative structural modeling). Based on extensive review of literature and expert opinion, 15 vulnerable parameters were identified and expert elicitation was applied to determine correlation among factors. The scope of this research suggests that five layers structural model can be formed. Network layout and emergency measure during disaster held maximum weight and individual workload, stress, and different environmental conditions were independent factors inclined at lower levels. The research provides reliable information for decision-makers to form active strategies and management policies for more adequate and reliable system of network. Also more safe and profitable network that will promote sustainable development throughout India. This study provides more efficient, efficacious, robust and systematic way to surmount challenges.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.