Fundamentals of Industrial Administration (Case Studies)
Adm 108This course aims to prepare students and practitioners for the evolving industrial landscape, ensuring they are equipped to thrive in digitally driven smart work environment. This course examines the core principles of industrial administration, emphasizing the transformative impact of Industry 4.0 technologies. Using case studies, students will explore how modern... Read more
Learning Outcomes
- Gain a thorough understanding of the principles and practices of industrial administration and their evolution in the context of Industry 4.0.
- Learn to leverage AI, IoT, big data analytics, blockchain, and robotics to enhance administrative processes in industrial environments.
- Develop skills in data collection, processing, and analysis to support data-driven decision-making in administration.
- Able to design and implement digital solutions for administrative tasks using Industry 4.0 technologies.
- Understand the ethical and regulatory considerations associated with the use of advanced technologies in industrial administration.
Course Description
This course aims to prepare students and practitioners for the evolving industrial landscape, ensuring they are equipped to thrive in digitally driven smart work environment. This course examines the core principles of industrial administration, emphasizing the transformative impact of Industry 4.0 technologies. Using case studies, students will explore how modern industrial environments integrate these technologies to enhance administrative practices. The course aims to equip students and practitioners with the knowledge and skills necessary for effective participation in digitally driven smart work environments.
Course Curriculum
1. Introduction to Industrial Administration
3 lessons- Definition and scope
- Key principles and practices
- Role of administrators in industrial settings
2. Overview of Industry 4.0 Technologies
3 lessons- Key technologies- \"AI\" \"IoT\" \"big data analytics\" \"blockchain\" \"robotics\"
- Impact on industrial processes and administration
- Case studies of Industry 4.0 applications
3. Digital Transformation in Industrial Administration
3 lessons- Transition from traditional to digital administration
- Methodologies for implementing digital tools and platforms
- Managing dynamic changes in administrative practices.
4. Case Study: AI in Industrial Administration
3 lessons- Examples of AI-driven decision support systems
- Automation of routine administrative tasks
- Case study analysis- AI implementation in a manufacturing firm
5. Case Study: IoT in Industrial Administration
3 lessons- Examples of IoT applications in asset and inventory management
- Examples of Real-time data integration and monitoring
- Case study analysis: IoT in supply chain management.
6. Case Study: Big Data Analytics in Administration
3 lessons- Examples of data collection- processing and analysis
- Predictive analytics for administrative decision-making
- Case study analysis- Big data in quality control
7. Case Study: Blockchain in Industrial Administration
3 lessons- Fundamentals of blockchain technology
- Applications in transaction recording and verification
- Case study analysis- Blockchain in logistics and supply chain
8. Ethical and Regulatory Considerations
3 lessons- Ethical implications of using advanced technologies
- Regulatory frameworks and compliance
- Data privacy and security breach issues