Optimization in Supply Chain Management focuses on the application of quantitative methods and data analytics to enhance operational efficiency and decision-making within supply chains. Participants will engage in hands-on projects that simulate real-world scenarios, allowing them to apply theoretical concepts to practical challenges. The course emphasizes the importance of data-driven strategies in optimizing processes, reducing costs, and improving service levels in supply chain operations.
Throughout the program, learners will explore various optimization techniques, including linear programming, simulation models, and heuristic methods. The curriculum is designed to foster critical thinking and problem-solving skills, equipping participants with the tools necessary to analyze complex supply chain issues. By the end of the course, attendees will be prepared to implement effective optimization strategies in their organizations or pursue advanced research opportunities in the field.
Introduction to Supply Chain Management Concepts
Fundamentals of Optimization Techniques
Linear Programming and its Applications
Integer and Mixed-Integer Programming
Simulation Modeling for Supply Chain Optimization
Heuristic and Metaheuristic Methods
Inventory Management and Optimization
Transportation and Distribution Network Design
Demand Forecasting and its Impact on Supply Chain
Final Project: Case Study on Optimization in Supply Chain Management