Optimization of Critical Factors of Northern Railway Network using TISM and DEMATEL
Reetik Kaushik1, Roopa Singh2, Yasham Raj Jaiswal3, Ranganath M. Singari4
1Reetik Kaushik*, Department of Mechanical Engineering, Delhi Technological University, Delhi, India.
2Roopa Singh, Department of Mechanical Engineering, Delhi Technological University, Delhi, India.
3Yasham Raj Jaiswal, Department of Mechanical Engineering, Delhi Technological University, Delhi, India.
4Ranganath M. Singari, Department of Mechanical, Production and Industrial Engineering, Delhi Technological University, Delhi, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 27, 2020. | Manuscript published on April 10, 2020. | PP: 59-68 | Volume-9 Issue-6, April 2020. | Retrieval Number: F3502049620/2020©BEIESP | DOI: 10.35940/ijitee.F3502.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Challenges, DEMATEL, Railway Network Factor Analysis, Reliability, TISM.
Scope of the Article: Network Modelling and Simulation.