Record Details

Optimizing Strategic Placement of Railroad Accident Relief Equipment: A Simulation-Based Decision Tool

NOPR - NISCAIR Online Periodicals Repository

View Archive Info
 
 
Field Value
 
Title Optimizing Strategic Placement of Railroad Accident Relief Equipment: A Simulation-Based Decision Tool
 
Creator Tripathi, Gyanesh
 
Subject Train accidents
Relief-facilities
Monte carlo simulation
Transportation
Optimization
 
Description 761-771
This study presents a simulation based method for the comparative evaluation of solutions for location of relief
equipment on railway networks—a domain that has been notably neglected in scholarly exploration. To fill this gap a
comprehensive simulation framework is introduced that utilizes mathematical modelling and optimization techniques to
evaluate the performance of the location solution in different real time circumstances over a long-time horizon. This
transportation model considers the demand-supply problem for each instance of accident on a railway network. The model
integrates constraints mirroring the practical and operational restrictions associated with moving relief equipment within the
network. Application of this transportation model is demonstrated with historical data of accidents and the demand of
equipment during each scenario, presenting a practical case study to validate the proposed methodology. Computational
experiments are conducted to compare three existing location solutions available in the literature. These location solutions
are critically examined to assess their efficacy in addressing the challenges of relief facility placement within a railway
network along with analysis of their strengths and weaknesses. It is noted that there is approximately 1.5% less cost of
attention and 60% less penalty in the case of the solution obtained through multi-objective problem when compared with
two other solutions obtained through ‘Set- Covering Model’ and ‘Existing locations’ adopted by the railways considered in
the study. By using real-life scenarios, advanced simulation techniques, and comparative analysis of existing solutions, this
work not only addresses the current gap in academic research but also sets the stage for further advancements in the
optimization of relief operations within complex railway networks.
 
Date 2024-07-05T11:22:57Z
2024-07-05T11:22:57Z
2024-07
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/64212
https://doi.org/10.56042/jsir.v83i7.7693
 
Language en
 
Publisher NIScPR-CSIR,India
 
Source JSIR Vol.83(7) [July 2024]