Vocational Education and Training in Transportation Maintenance 4.0: A Note

Alberto Martinetti*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    Abstract

    Vocational Education and Training (VET) represents a key factor for the development of countries and society. Due to radical changes and new challenges in technology and in societal needs, VET has to re-think its position in the education field as well for better fitting within the new job requirements. The chapter will focus on the relations between VET and Maintenance 4.0 environments analysing opportunities with particular attention to works in transportation systems. First, the work will discuss the actual context in comparison with the past decades focusing on the European situation. Second, the main points of VET and Transportation Maintenance 4.0 will be pinpointed. After that, a reflection on how those concepts can be combined in transportation systems will be offered. Finally, discussion and conclusion will reflect on how to move forwards for taking advantages of VET on a long-term horizon
    Original languageEnglish
    Title of host publicationTransportation Systems
    Subtitle of host publicationManaging Performance through Advanced Maintenance Engineering
    EditorsSarbjeet Singh, Alberto Martinetti, Arnab Majumdar, Leo van Dongen
    PublisherSpringer
    Chapter10
    Pages173-182
    ISBN (Electronic)978-981-329-323-6
    ISBN (Print)978-981-329-322-9
    DOIs
    Publication statusPublished - 21 Aug 2019

    Publication series

    NameAsset analytics
    ISSN (Print)2522-5162
    ISSN (Electronic)2522-5170

    Keywords

    • Vocational education and training (VET)
    • Maintenance 4.0
    • Transportation

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  • Cite this

    Martinetti, A. (2019). Vocational Education and Training in Transportation Maintenance 4.0: A Note. In S. Singh, A. Martinetti, A. Majumdar, & L. van Dongen (Eds.), Transportation Systems: Managing Performance through Advanced Maintenance Engineering (pp. 173-182). (Asset analytics). Springer. https://doi.org/10.1007/978-981-32-9323-6_10