Building on foundational concepts in operational research, this 2-day intensive course delves deeper into advanced quantitative methods and optimization techniques used for effective decision-making in complex business and industrial environments. Participants will explore topics such as integer programming, network models, queuing theory, and simulation, with practical examples and hands-on problem solving. This course is designed for professionals, analysts, and students who have a basic understanding of OR and want to enhance their skills for tackling real-world operational challenges.
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OPERATIONAL RESEARCH SERIES II
Research
OPERATIONAL RESEARCH SERIES II
Research
Registration Closed
| 26/11/2025 - 27/11/2025 Tentative is available below. | |
|
Institute Of Continuing Education & Professional Studies (iCEPS)
Aras 2, UiTM-MTDC Technopreneur Centre Universiti Teknologi MARA (UiTM) 40450, Shah Alam Selangor |
For any inquries, please contact :-
| 01110881431 | |
| firdauscr@uitm.edu.my |
- Apply advanced linear and integer programming techniques to optimize resource allocation.
- Model and solve complex network problems such as shortest path, maximum flow, and assignment problems.
- Understand and analyze queuing systems to improve service efficiency.
- Utilize simulation modeling to assess stochastic and dynamic systems.
- Integrate OR methods for comprehensive problem-solving in operational contexts
Day 1: Advanced Optimization and Network Models
Session 1: Integer and Mixed-Integer Programming (9:00 AM – 10:45 AM)
Session 2: Network Models (11:00 AM – 12:30 PM)
Session 3: Advanced Linear Programming Techniques (1:30 PM – 3:00 PM)
Session 4: Case Study and Problem Solving (3:15 PM – 5:00 PM)
Day 2: Queuing Theory and Simulation Modeling
Session 1: Queuing Theory Fundamentals (9:00 AM – 10:45 AM)
Session 2: Introduction to Simulation (11:00 AM – 12:30 PM)
Session 3: Integrating OR Techniques in Complex Systems (1:30 PM – 3:00 PM)
Session 4: Final Project and Wrap-Up (3:15 PM – 5:00 PM)
Day 1: Advanced Optimization and Network Models
Session 1: Integer and Mixed-Integer Programming (9:00 AM – 10:45 AM)
Session 2: Network Models (11:00 AM – 12:30 PM)
Session 3: Advanced Linear Programming Techniques (1:30 PM – 3:00 PM)
Session 4: Case Study and Problem Solving (3:15 PM – 5:00 PM)
Day 2: Queuing Theory and Simulation Modeling
Session 1: Queuing Theory Fundamentals (9:00 AM – 10:45 AM)
Session 2: Introduction to Simulation (11:00 AM – 12:30 PM)
Session 3: Integrating OR Techniques in Complex Systems (1:30 PM – 3:00 PM)
Session 4: Final Project and Wrap-Up (3:15 PM – 5:00 PM)