On 18 July, a conference on Industry 4.0 will be held on the Orona Ideo campus
On 18 July, a conference on Industry 4.0 will be held on the Orona Ideo campus
On 18 July, a conference on Industry 4.0 will be held on the Orona Ideo campus
The event is part of the European project DiManD led by the Higher Polytechnic School of Mondragon Unibertsitatea.
On 18 July, a conference on Industry 4.0 will take place on the Campus Orona Ideo of Mondragon Unibertsitatea, with the presence of the University of Nottingham, Uninova, and KTH. The event is part of the European project DiManD (The Digital Manufacturing and Design), coordinated by the Higher Polytechnic School.
The conference will be structured in several presentations in which, in addition to presenting the project, seminars on Cyber-Physical Systems, autonomous manufacturing platforms, Big Data and agent-based control will be given. The coordinators of DiManD Miren Illarramendi and Leire Etxeberria will be in charge of opening the conference, presenting the European project to the public. This will be followed by the presentations of Antonio Maffei (KTH), Jack Chaplin (University of Nottingham), and José Barata and Sanaz Nikghadam (UNINOVA).
The registration period will remain open until 16 July, and it will be necessary to confirm attendance by sending an email to the following address: dimand@mgep.mondragon.edu.
A long-distance project
DiManD was launched in May 2019 and consists of a training programme thanks to which 14 people will be able to carry out their doctoral programme on Industry 4.0.
The DiManD project aims to establish an International Training Network, create a training programme on Digital Manufacturing and find future ambassadors on this subject. Thus, DiManD intends to become the meeting point for future professionals interested in Industry 4.0. This process requires influencing the digital competencies of those involved. The 14 doctoral students participating in the project will investigate different areas of digitalisation, developing four theses on Cyber-Physical Systems, six on Autonomous Systems, and three on Big Data or Data Analysis.