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Article
Publication date: 18 December 2020

Ravdeep Kour and Ramin Karim

The purpose of this research paper is to evaluate and estimate the cybersecurity maturity and awareness risk for workforce management in railway transportation by using…

892

Abstract

Purpose

The purpose of this research paper is to evaluate and estimate the cybersecurity maturity and awareness risk for workforce management in railway transportation by using Railway-Cybersecurity Capability Maturity Model (R-C2M2) and Information Security Awareness Capability Model (ISACM), respectively.

Design/methodology/approach

This research uses a case study strategy, so primary data comprise the majority of data collected. These data were collected through interviews and questionnaires. The secondary data were collected from the literature, technical reports and standards.

Findings

The results show that there is a gap in cybersecurity awareness within the workforce and there is a need to improve this gap. This paper provides some of the recommendations and literature to enhance cybersecurity workforce culture within railway organizations.

Practical implications

In this paper, the authors have demonstrated that cybersecurity awareness has positive impact on the overall dependability of the railway system.

Originality/value

This paper describes the importance of cybersecurity awareness and training in building more cyber resiliency across the operation and maintenance of railway.

Details

Journal of Quality in Maintenance Engineering, vol. 27 no. 3
Type: Research Article
ISSN: 1355-2511

Keywords

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Article
Publication date: 5 August 2014

Ravdeep Kour, Phillip Tretten and Ramin Karim

The purpose of this paper is to demonstrate how research within the railway sector is developing eMaintenance solutions using the cloud and web-based applications for improved…

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Abstract

Purpose

The purpose of this paper is to demonstrate how research within the railway sector is developing eMaintenance solutions using the cloud and web-based applications for improved condition monitoring, better maintenance and increased uptime. This eMaintenance solution is based on the on-line data acquisition, integration and analysis leading to effective maintenance decision making.

Design/methodology/approach

In the proposed methodology, data are acquired from railway measurement stations to the eMaintenance cloud, where they are filtered, fused, integrated and analysed to assist maintenance decisions. Extensive consultation with stakeholders has resulted in the analysis of railway data.

Findings

The paper provides a concept for a web-based eMaintenance solution for railway maintenance stakeholders for making fact-based decisions and develops more efficient and economically sound maintenance policies. Train wheels reaching their maintenance and safety limits are visualised in grids and graphs to assist stakeholders in making the appropriate maintenance decisions.

Practical implications

In this paper the authors have demonstrated that the wheel profile and force data can be remotely collected through cloud utilisation. The information generated can be used for maintenance decision making. Similarly, other measurable data can also be utilised for maintenance decision making.

Originality/value

This paper describes the importance of eMaintenance solution through online data analysis to make effective and efficient railway maintenance decisions, as a case study.

Details

Journal of Quality in Maintenance Engineering, vol. 20 no. 3
Type: Research Article
ISSN: 1355-2511

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