Introduction of sustainability practices in the manufacturing process
duration | 3 days
Description
Providing training on introducing sustainability measures, including practical exercises, assessment of data from the SME and consulting on implementing tailored measures to the manufacturing process.
Learning Outcomes
After the training completion, the participants will be able to:
- Explain key concepts of sustainability in manufacturing, including environmental, economic, and social dimensions.
- Identify opportunities for introducing sustainability measures within SME manufacturing processes.
- Evaluate and interpret sustainability-related data from their own or similar SMEs to support decision-making.
- Design and recommend tailored sustainability strategies that align with the specific processes and challenges of their manufacturing context.
- Understand the role of data and AI in driving sustainable manufacturing, including how data availability and quality affect AI implementation.
Foundations of Sustainable Manufacturing
duration | 3 hours
Learning Outcomes
- Explain key concepts of sustainability in manufacturing, including environmental, economic, and social dimensions
Activities
- Mini-lectures, live polling, quick quizzes
Circular economy: WHAT is CE? WHY do we strive for CE? HOW do we achieve it? WHO to involve in the process?
duration | 1,5 hours
Learning Outcomes
- Explain key concepts of sustainability in manufacturing, including environmental, economic, and social dimensions
- Identify opportunities for introducing sustainability measures within SME manufacturing processes.
Activities
- Short lecture + video + Interactive ladder-sorting game
Circular Strategies & readiness evaluation introduction
duration | 1 hours
Learning Outcomes
- Explain key concepts of sustainability in manufacturing, including environmental, economic, and social dimensions
- Identify opportunities for introducing sustainability measures within SME manufacturing processes.
Activities
- Short lecture + video + Interactive ladder-sorting game
Practical exercise to evaluate the sustainability readiness level of a company (Self-paced learning and assessment)
duration | 4 hours
Learning Outcomes
- Identify opportunities for introducing sustainability measures within SME manufacturing processes.
- Evaluate and interpret sustainability-related data from their own or similar SMEs to support decision-making.
- Design and recommend tailored sustainability strategies that align with the specific processes and challenges of their manufacturing context.
- Understand the role of data and AI in driving sustainable manufacturing, including how data availability and quality affect AI implementation.
Activities
- Teamwork with peers
Pitching session on the results of the self-paced learning and assessment
duration | 2 hours
Learning Outcomes:
- Identify opportunities for introducing sustainability measures within SME manufacturing processes.
- Evaluate and interpret sustainability-related data from their own or similar SMEs to support decision-making.
- Design and recommend tailored sustainability strategies that align with the specific processes and challenges of their manufacturing context.
- Understand the role of data and AI in driving sustainable manufacturing, including how data availability and quality affect AI implementation.
Activities:
- 3-minute pitch per team + feedback rounds
Pitching session on the results of the self-paced learning and assessment
duration | 2 hours
Learning Outcomes
- Identify opportunities for introducing sustainability measures within SME manufacturing processes.
- Evaluate and interpret sustainability-related data from their own or similar SMEs to support decision-making.
- Design and recommend tailored sustainability strategies that align with the specific processes and challenges of their manufacturing context.
- Understand the role of data and AI in driving sustainable manufacturing, including how data availability and quality affect AI implementation.
Activities
- 3-minute pitch per team + feedback rounds
Quantifying Impact
duration | 1,5 hours
Learning Outcomes
- Evaluate and interpret sustainability-related data from their own or similar SMEs to support decision-making.
- Design and recommend tailored sustainability strategies that align with the specific processes and challenges of their manufacturing context.
- Understand the role of data and AI in driving sustainable manufacturing, including how data availability and quality affect AI implementation.
Activities
- Moderated discussion and practical exercises