Operations Research and Dynamic Programming
Adm 113This course explores the application of operations research and dynamic programming techniques in industrial administration, with a focus on the impact of Industry 4.0 technologies. Students will learn how to optimize industrial and business decision-making processes, manage complex systems, and analyze data-driven insights to drive business success. Further, this course... Read more
Learning Outcomes
- Analyze complex industrial administration problems using operations research and dynamic programming techniques.
- Apply optimization techniques to improve decision-making processes in industrial settings.
- Evaluate the impact of Industry 4 technologies on industrial administration and develop strategies for implementation.
- Develop data-driven insights and visualize data to support business decisions.
- Design and manage complex systems using simulation and modeling techniques. Note: The course content and learning outcomes may vary based on the specific needs and requirements of the students and the institution offering the course.
Course Description
This course explores the application of operations research and dynamic programming techniques in industrial administration, with a focus on the impact of Industry 4.0 technologies. Students will learn how to optimize industrial and business decision-making processes, manage complex systems, and analyze data-driven insights to drive business success. Further, this course explores the application of operations research and dynamic programming techniques to optimize production processes in industrial environments. Students will learn how to analyze complex problems, develop data-driven insights, and implement optimization techniques to drive business success. With a focus on the impact of Industry 4.0 technologies, this course will uncover application areas dealing with linear programming, dynamic programming, data analytics, simulation, and supply chain optimization. In addition, using case studies, group discussions, and a capstone project, students will develop practical skills to apply operations research and dynamic programming in real-world industrial settings.
Course Curriculum
1. Introduction to Operations Research
3 lessons- Overview of operations research
- History and evolution
- Methodologies and applications
2. Dynamic Programming
3 lessons- Introduction to dynamic programming
- Principles and algorithms in dynamic programming
- Areas of application in industrial administration
3. Industry 4 Technologies
3 lessons- Overview of Industry 4 Technologies
- Impact of Industry 4 technologies on industrial administration
- Case studies and applications related to Industry 4 technologies
4. Optimization Techniques
4 lessons- Linear programming
- Integer programming
- Non linear programming
- Stochastic programming
5. Data Analytics and Visualization
3 lessons- Data driven decision making
- Data visualization techniques
- Statistical analysis and modeling
6. Simulation and Modeling
3 lessons- Discrete event simulation
- System dynamics modeling
- Applications in industrial administration
7. Supply Chain Optimization
3 lessons- Supply chain management
- Network optimization
- Inventory control and management
8. Project Management
3 lessons- Project planning and scheduling
- Resource allocation and leveling
- Risk management and mitigation
9. Case Studies and Applications
3 lessons- Real world applications of operations research and dynamic programming
- Industry 4 case studies
- Group discussions and presentations
10. Capstone Project
3 lessons- Students will work on an individual or group project
- Applying operations research and dynamic programming techniques
- Presenting findings and recommendations Possible