Digital and Data Technologies for Industrial Applications
Adm 133This course explores the theoretical and fundamental principles guiding the application of digital and data technologies in the design and operation of industrial facilities. It aims to integrate these technologies to support advanced production systems, enhancing the organizational management of industrial operations for sustainability, profitability, and corporate advancement. The course... Read more
Learning Outcomes
- Understand the principles and importance of digital and data technologies in industrial applications.
- Apply data-driven decision-making techniques to enhance industrial operations.
- Integrate Industry 4.0 technologies into the design and management of industrial facilities.
- Utilize mathematical modeling and process simulation techniques for optimizing digital technologies in facilities design.
- Develop strategies for eliminating waste and increasing profitability through digital and data technologies.
Course Description
This course explores the theoretical and fundamental principles guiding the application of digital and data technologies in the design and operation of industrial facilities. It aims to integrate these technologies to support advanced production systems, enhancing the organizational management of industrial operations for sustainability, profitability, and corporate advancement. The course emphasizes the necessity of understanding efficient digital and data technologies for industrial applications in the context of the next phase of the smart industrial revolution. It provides practical guidelines for production organizations in facilities design alongside digital and data-driven technologies to increase profitability and eliminate waste. Additionally, the course covers mathematical modeling and process simulation essentials for enhancing digital and data technologies in facilities design. It aligns modern plant and facilities design with Industry 4.0 technologies to boost efficiency and examines the influence of these technologies on the design and assembly of industrial production facilities and management.
Course Curriculum
1. Introduction to Digital and Data Technologies
3 lessons- Overview of digital and data technologies in industrial applications
- Importance and impact on modern industrial operations
- Historical development, current designs and future trends
2. Theoretical Foundations of Digital Technologies
3 lessons- Principles of digital technology integration and interfaces
- Case studies of successful digital technology applications
- Challenges and solutions in modern digital transformations.
3. Data Technologies in Industrial Design
3 lessons- Data collection, analysis, and management
- Big data and its role in industrial operations
- Case studies on data-driven decision making
4. Advanced Production Systems
3 lessons- Integration of digital and data technologies in production systems
- Enhancing production efficiency and quality
- Real-world applications and case studies
5. Smart Industrial Revolution and Industry 4.0 Technologies
3 lessons- Introduction to Industry 4.0 technologies
- Integration of smart technologies in industrial design
- Future trends and innovations in industrial facilities.
6. Facilities Design and Digital Technologies
3 lessons- Techniques for integrating digital technologies in facilities design
- Aligning facilities design with data-driven technologies
- Case studies on successful implementations
7. Mathematical Modeling and Process Simulation
3 lessons- Basics of mathematical modeling in digital technologies
- Simulation techniques for process optimization
- Practical applications and software tools for modeling the following processes- Chemical processing, Oil and gas production, Power generation and distribution, Manufacturing and assembly, Material handling and logistics, batch food processing, etc
8. Impact of Industry 4.0 on Industrial Facilities
3 lessons- Effects of Industry 4.0 on industrial design and operations
- Case studies on the implementation of smart technologies
- Challenges and opportunities in the smart industrial revolution
9. Waste Elimination and Profitability
3 lessons- Strategies for eliminating waste through digital technologies
- Role of data technologies in enhancing profitability
- Case studies on successful waste reduction.
10. Project Work and Practical Applications
3 lessons- Real-world projects on digital and data technologies
- Practical applications of theoretical concepts
- Group discussions and presentations