Digitalization of Interlocking System to Optimize Logistics in Railway Transportation

Sipho Nzama and Arnesh Telukdarie
Additional contact information
Sipho Nzama: University of Johannesburg, Johannesburg, South Africa
Arnesh Telukdarie: Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa

International Journal of Business Analytics (IJBAN), 2020, vol. 7, issue 1, 24-36

Abstract: Effective logistics management plays a crucial role in the railway industry for transporting goods and people. There is a need to improve the railway infrastructure to meet today's increasing demand for railway transportation. Digitalising the railways help improve the old dilapidated infrastructure which could cause train delays in railway logistics. Interlocking testing is a priority, requiring stringent procedures guided by rail safety regulations. Historically interlocking testing required significant protocols and effort resulting in expensive resource allocation in the form of personnel, equipment, and time. This study examines modernised technology that presents the new configuration setup and improves processes that can potentially replace traditional methods. The findings of this study prove that the use of this new technology in railways can significantly reduce the amount of time spent on this process, increase the reliability, and save on human resources.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJBAN.2020010102 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jban00:v:7:y:2020:i:1:p:24-36

Access Statistics for this article

International Journal of Business Analytics (IJBAN) is currently edited by John Wang

More articles in International Journal of Business Analytics (IJBAN) from IGI Global
Bibliographic data for series maintained by Journal Editor ().