Training Needs Assessment
The Training Needs Assessment report identifies the generalized needs for the Planet4 course based on feedback from students, academics, and companies, filtered through market needs and partner company experience. It outlines the topics addressed, the reasons for training, the best approach and timing for training. Find the report here:
Taxonomy for Classifying Data-driven Solutions to Solve Production Processes Problems
The PLANET4 Taxonomy is a web-based database of Industry 4.0 problems and technologies. Industrial experts can utilize this tool to discover demonstrated technologies suitable for addressing similar challenges. Start exploring here: http://taxonomy.planet4project.eu/
You can check the technical documentation and the open-source code that was developed for the Taxonomy: https://github.com/HumanCenteredTechnology/api_search_engine
Soft skills Framework and Methodologies to Adopt for the PLANET4 4.0I&CM Training Workshops
This report compiles diverse methods from universities and companies concerning project research and associated soft skills framework for learners. Key questions explored include the significance of soft skills in the Industry 4.0 context, methodologies for tackling Industry 4.0 challenges and typical organization of soft skills and change management courses. Find the report here:
Validated PLANET4 4.0I&CM training workshops
The document presents the methodology elaborated for the Planet4 Innovation & Change Management (I&CM) training workshops and the instructions how to properly use it. This will serve in the development and enhancement of the most important soft skills in the context of Industry 4.0 identified in the “Soft skills Framework and Methodologies to Adopt for the PLANET4 4.0I&CM Training Workshops” (see above). The goal of training workshops is to contribute shaping and developing a 4.0 mindset in learners that will allow them to actively face disruptive changes in their future work environment and communicate them in the best way. You can find the report here:
Template for Collecting Best Practices
This template aims to provide a clear and reusable format for documenting best practices in utilizing AI on the edge to address industrial challenges. It comprises 3 sections:
Section a) Challenge description: this section entails essential headings to present the company profile and industrial problem for which 4.0 enabling technologies are required. PLANET4’s open call invites industrial companies to share the challenges they encounter. Access the problem formalization questionnaire here:
https://forms.gle/J3quY7wn4drMHiKt9
Section c) Solution Description: this section allows experts to describe the resolution of an I4.0 problem (or in the case of students’ exercises, potential solutions) for both AI and industrial experts.
The template is accessible here:
Solution formalization templateDownload
Platform on the website for presenting best practices
PLANET4 offers a valuable resource for learners and practitioners alike. In the “Best Practices” section of the website you can find and download 14 solved challenges, ranging from smart inventory management and machine monitoring to AR&VR employee training. These challenges are sourced from partner companies, ensuring their real-world relevance, and from a literature review, guaranteeing a well-rounded and informed approach. You can find the best practices at this link:
https://www.planet4project.eu/best-practices/
Challenges description template for learnersDownload
Final version of the “AI on the edge for 4.0” learning materials
The learning materials, collaboratively reviewed by all partners, incorporated the valuable feedback collected during the four pilots. Their final version is available here:
https://planet4project.salle.url.edu/
You can also download single lectures or Moodle packages in the Training materials section:
https://www.planet4project.eu/planet4-course-training-materials/
Empower learners worldwide with the knowledge and skills of Industry 4.0 through our user-friendly handbook! We offer a general course overview, along with detailed guidelines on replicating the training model. From learning methodologies and expected outcomes to assessment techniques, organizational tips, and monitoring and evaluation guidelines, this document equips you with everything needed for a successful course implementation.
Download the handbook here:
Handbook for replicating the training courseDownload