DIGITAL4PPP (People Planet Performance) Workshop
In the framework of EELISA (https://community.eelisa.eu/activities/digital4ppp-workshop/), the workshop DIGITAL4PPP is organized by the Department of Quality Engineering and Industrial Technologies, the Faculty of Industrial Engineering and Robotics at the National University of Science and Technology Politehnica Bucharest.
The workshop is open for PhD students, researchers, academics and professionals to share research and practices and to network concerning the following topics:
✓ context of businesses' digital transformation;
✓ practical approaches, technologies and methods for design and process control in industry and associated services;
✓ people's capabilities valorization through processes digital transformation, new skills and competences;
✓ broader perspective of customer focus, including customer experience associated to digital processes;
✓ approaches to respect the planet and the community where the business operates to increase and sustain performance;
✓ business models and performance control;
✓ other related topics for sharing practices, testing innovative solutions, and learning together with students – professors – professionals in companies – researchers to motivate students to become more enthusiastic and passionate in the research of engineering solutions.
DIGITAL4PPP Workshop will be organized in blended format during November, the 23rd – 24th 2023, hosted by University Politehnica of Bucharest, the Faculty of Industrial Engineering & Robotics.
Deadlines
Paper title and abstract submission: October, the 30th, 2023
Notification of acceptance: November, the 12th, 2023
Full paper submission: November, the 20th, 2023
Workshop: November, the 23rd – 24th, 2023
To register, please fill in the form: Digital4PPP_Workshop form
Publication
Authors are invited to submit their contributions. Selected papers will be published in the Scientific Bulletin of University Politehnica of Bucharest.
Extensive high quality papers may be published in the special issues “New Insights into Optimal Control and Applications in Automotive Engineering” in the Open Access Journal Mathematics (Q1) by MDPI.