Engineering Schools currently face the challenge to train their students for the forthcoming Industry 4.0. There is no clear definition about Industry 4.0; however, it is clear that Industry 4.0 companies will be connected through data over the Internet.

Engineering data in industry exhibits two features which are difficult to convey in engineering education: 1) the data generated by the different apps has intrinsic
dependencies and 2) it is iterative. Thus, the geometry designed in CAD apps is analysed for performance with CAE apps and manufactured with CAM apps. Likewise, if the tasks performed with CAE and CAM apps assess CAD data as invalid, CAD data has to be reworked. Consequently, CAE and CAM tasks might have to be reworked.
Therefore, keeping track of the data version over which engineers are working becomes critical in industry and it is addressed with PLM platforms. Furthermore, in engineering practice, globalization and customer-supplier relationships impose the collaborative generation of such data in geographically worldwide distributed teams.
This need to collaborate adds extra features that are difficult to convey in engineering education such as geographic location difference, time-zone difference, calendar
difference, timetable difference, language difference and cultural habit difference
among team members’ management.

Para ter acesso completo ao conteúdo, clique aqui.

Engineering Schools currently face the challenge to train their students for the forthcoming Industry 4.0. There is no clear definition about Industry 4.0; however, it is clear that Industry 4.0 companies will be connected through data over the Internet.

Engineering data in industry exhibits two features which are difficult to convey in engineering education: 1) the data generated by the different apps has intrinsic
dependencies and 2) it is iterative. Thus, the geometry designed in CAD apps is analysed for performance with CAE apps and manufactured with CAM apps. Likewise, if the tasks performed with CAE and CAM apps assess CAD data as invalid, CAD data has to be reworked. Consequently, CAE and CAM tasks might have to be reworked.
Therefore, keeping track of the data version over which engineers are working becomes critical in industry and it is addressed with PLM platforms. Furthermore, in engineering practice, globalization and customer-supplier relationships impose the collaborative generation of such data in geographically worldwide distributed teams.
This need to collaborate adds extra features that are difficult to convey in engineering education such as geographic location difference, time-zone difference, calendar
difference, timetable difference, language difference and cultural habit difference
among team members’ management.

Para ter acesso completo ao conteúdo, clique aqui.