Teaching Industrie 4.0 technologies in a learning factory through problem-based learning: case study of a semi-automated robotic cell design
| Autor: | Quintus Deacon, Louis Louw |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Computer science media_common.quotation_subject Soft skills 02 engineering and technology Learning factory Cell design Creativity Industrial and Manufacturing Engineering Engineering management 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering Problem-based learning Artificial Intelligence Robot Systems thinking Competence (human resources) media_common |
| Zdroj: | Procedia Manufacturing. 45:265-270 |
| ISSN: | 2351-9789 |
| DOI: | 10.1016/j.promfg.2020.04.105 |
| Popis: | The use and development of digital factories are transforming manufacturing, and as a result, companies are in need of employees with fundamentally different qualifications and skills to implement and operate innovative technologies. In the face of the digital age, universities are confronted with the challenge of identifying the future job profiles and their competence requirements, and thus adapt and adjust their educational course contents to accommodate it. This paper describes the use of a learning factory to develop hard technological skills related to Industrie 4.0, as well as soft skills related to creativity, systems thinking and problem solving. It does this by describing a problem-based learning approach in which the student had to design and implement an automated production cell that integrates three key technologies within Industrie 4.0: robots, additive manufacturing, as well as industrial internet of things. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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