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Framework of Sustainable Intelligent Manufacturing (Pilot)

Type of course:

Digital learning, Lesson

Language:

EN

Duration:

15 minutes

Workload:

Array hour

Proficiency:

Intermediate

Target:

Professionals, Manager, Students

In this lesson, we will explore the economic, environmental, and social impacts of SIM, providing insights into how businesses can reduce costs, lower their environmental footprint, and improve worker safety through smart manufacturing practices. Additionally, we will address the challenges companies face when adopting SIM, such as high initial investments and workforce skill gaps, and discuss future trends that will shape the evolution of sustainable manufacturing, including AI-driven customization, 5G networks, and carbon-neutral production. By the end of this lesson, you will have a comprehensive understanding of how SIM can transform manufacturing and contribute to a more sustainable, intelligent future.
We will also explain the key components and benefits of Sustainable Intelligent Manufacturing (SIM), focusing on how advanced technologies like IoT, AI, and automation can drive both efficiency and sustainability in modern production processes. Sustainable Intelligent Manufacturing (SIM) integrates sustainability principles into advanced manufacturing processes through the use of digital technologies, data analytics, and intelligent systems. The framework of SIM ensures that manufacturing is efficient, resource-conscious, and environmentally friendly while still meeting the requirements of Industry 4.0. The core elements of SIM include energy efficiency, waste reduction, circular economy practices, and the use of smart technologies for real-time decision-making and optimization.

About The Author

The public establishment INTECHCENTRAS was established by the Engineering and Technology Industries Association of Lithuania (LINPRA). As an independent business organization, LINPRA represents the interests of companies in the metal products, machinery and equipment, electromechanics and electronics, plastics, and rubber industries at both the international and national levels. InTechCentras is a Smart Manufacturing competence center. We serve as the coordinators for the Advanced Manufacturing Digital Innovation Hub and were one of the initiators of the EDIH4LT in Lithuania. Intechcentras is the only independent certified RecyClass.


Learning outcomes

  1. By the end of this lesson, students will be able to analyze the impact of sustainable manufacturing practices on economic, environmental, and social outcomes, considering factors like resource conservation, carbon footprint, and worker safety.
  2. By the end of this lesson, students will be able to evaluate the effectiveness of smart technologies (e.g., IoT, AI, and automation) in optimizing manufacturing processes for sustainability, including energy efficiency, waste reduction, and emissions control.
  3. By the end of this lesson, students will be able to evaluate the challenges associated with implementing Sustainable Intelligent Manufacturing, including initial costs, workforce skill gaps, and regulatory barriers, and propose strategies to overcome them.

Topics

Digital Transformation, Artificial Intelligence (AI), Big Data, Digital Twin

Tags

Digital twin, Big Data

Content created in 2024
+224 enrolled
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Course Includes

  • 1 Quiz

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