Abstract

Railway operators are being challenged by increasing complexity and safeguarding the availability of passenger rolling stock, bringing maintenance and especially emerging technologies into the focus. This paper presents a model for selection and implementation of Industry 4.0 technologies in rolling stock maintenance. The model consists of different stages and considers the main components of rolling stock, the related appropriate maintenance strategies and Industry 4.0 technologies considering the maturity level of the railway operators. Relevant criteria and main prerequisites of the technologies were identified. The model proposes relevant activities and was validated by industry experts.

Highlights

  • E siKmeiylawroirtyds:bRetowlleinegnSptorcokd;uMctaifnatmenialniecse; bInydupsrtoryvi4d.0inTgecdhensoiglongiessu;pIpmoprltemtoenbtaottiho,n pMrodeulction system planners and product designers

  • This paper provides a model for the implementation of Industry 4.0 technologies in rolling stock maintenance, taking into account the rail operators technological maturity level

  • The review revealed the following seven main benefits associated with the implementation of Industry 4.0 technologies in maintenance: increase in the system reliability, cost reduction, time savings, acquirement of a competitive advantage, increase in the quality assurance, increase in the transparency of assets and an increase for the safety of employees

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Summary

Purpose and delimitations

This paper provides a model for the implementation of Industry 4.0 technologies in rolling stock maintenance, taking into account the rail operators technological maturity level. The focus lies on electrified rolling stock for passenger transport because today, three-quarters of passenger rolling stock is electrified [7]. The mechanical systems are considered due to their long operation time of 15 to 20 years [8]. The paper is bound to Industry 4.0 technologies for maintenance processes and not any other processes

Research approach
Maintenance in rolling stock
Related work
Rolling stock
Maturity assessment
Summary
Online survey
Phase 1
Phase 2
Phase 3
Phase 4
Face validation
Conclusions and outlook
Full Text
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