Type of course:
Digital learning, Path
Language:
EN
Duration:
1 hour, 5 minutes
Workload:
6 hours
Proficiency:
Beginner
Target:
Manager, Professionals, Workers
The learning paths aim to offer valuable insights into the various applications of blockchain technology in supply chains across different industries. Specifically, it focuses on the value propositions of blockchain in the context of different industrial settings. The learning paths are designed to optimize the message’s impact and effectiveness. They consist of an analysis of three industrial use cases in the manufacturing industry, particularly in the context of Industry 4.0. The analysis encompasses the benefits and risks associated with integrating blockchain technology solutions into supply chains. Moreover, the learning paths also provide valuable lessons learned from these use cases, contributing to a deeper understanding of how blockchain can enhance supply chain processes in the manufacturing sector.
Learning outcomes
- Learners after the completion of the learning path will be able to memorize at least three real scenarios use cases in industry 4.0
- Learners after the completion of the learning path will be able to list at least three benefits about implementing blockchain technology in industry 4.0
- Learners after the completion of the learning path will be able to memorize at least three risks and lesson learned about implementing blockchain technology in industry 4.0
LessonValue proposition, testing, lessons learned for ESG balance and antifraud certification
Course Content
LessonValue proposition, testing, lessons learned for internal process tracing for large companies - aluminum industry
Course Content
LessonTypical issues on integrating a blockchain solution inside a real plant
Course Content
LessonQuiz Learning path Value of blockchain technology in supply chains, some case study and best practice
Course Content
Topics
Advanced Manufacturing, Environmental Sustainability, Remanufacturing, Sustainable Energy and Clean Technologies, Digital Transformation, Sustainable Manufacturing, Recycling, Refurbishment, Electronic, Big Data, Cloud Computing, Cybersecurity, Data mining