Theories of Industrial Administration
Arb 103This course deals with the foundational theories of industrial administration, examining how Industry 4.0 Technologies are reshaping traditional industrial practices and work processes. Students will explore the integration of digital advancements in industrial administration and develop the skills necessary for effective participation in smart work environment and spaces. Read more
Learning Outcomes
- Understand the core theories of industrial administration and their historical development.
- Identify and analyze the key technologies driving Industry 4.0 Technologies and their implications for industrial administration.
- Evaluate the impact of digital transformation on organizational structures and management practices.
- Adapt classical theories of industrial administration to the context of Industry 4.0 Technologies.
- Navigate legal and ethical challenges posed by digital technologies in the workplace.
- Develop essential digital skills for effective participation in smart workspaces.
- Apply theoretical knowledge to practical scenarios through case studies and simulations.
Course Description
This course deals with the foundational theories of industrial administration, examining how Industry 4.0 Technologies are reshaping traditional industrial practices and work processes. Students will explore the integration of digital advancements in industrial administration and develop the skills necessary for effective participation in smart work environment and spaces.
Course Curriculum
1. Introduction to Industrial Administration
3 lessons- Historical context and evolution of industrial administration
- Key theories: Scientific Management, Human Relations, Systems Theory, and Contingency Theory.
- Key theories: Scientific Management, Human Relations, Systems Theory, and Contingency Theory.
2. Industry 4.0: Concepts and Technologies
3 lessons- Overview of Industry 4.0 and its components
- Key technologies: IoT, AI, robotics, big data, and cloud computing
- The shift from traditional to smart industries
3. Impact of Industry 4.0 on Industrial Administration
3 lessons- Changes in organizational structures and management practices
- The role of automation and AI in decision-making processes
- Enhancing productivity and efficiency through digital tools
4. Adapting Theories of Industrial Administration to Industry 4.0 Technologies and Applications
3 lessons- Revisiting classical theories in the context of digital transformation
- Integrating digital technologies with existing management frameworks
- Case studies on successful adaptation of Industry 4.0 in industrial administration
5. Legal and Ethical Considerations
4 lessons- Data protection and privacy in digital workplaces
- Ethical implications of AI and automation
- Ethical implications of AI and automation
- Compliance with industry standards and regulations
6. Skills for the Digital Workplace
3 lessons- Digital literacy and competency development
- Managing digital tools and platforms
- Continuous learning and adaptation in a rapidly evolving environment
7. Practical Applications and Case Studies
3 lessons- Analysis of real-world examples of Industry 4.0 impacts on industrial administration
- Practical exercises and simulations
- Group discussions and role-playing scenarios