Operations Research
Learn how to apply linear programming techniques to optimize business costs and maximize profits. This course is ideal for students of Mathematics, Engineering, and Business, as well as Operations Engineers, Production leaders, Business Analysts, and Business Office Executives. Gain insights into the simplex algorithm and Excel Solver software for solving linear programming problems. Understand the impact of parameter changes on optimal solutions through sensitivity analysis. Enhance your skills in mathematical modeling and cost optimization methods for effective decision-making.
What you’ll learn
- Linear programming
- Mathematical Modeling
- Business Cost Optimization
- Methods for Maximizing Profit and Minimizing Cost
- Cost Sensitivity Analysis
- Network and Transportation optimization
The course is focused on the application of linear programming techniques. Most of the mathematical models presented in the course are The course includes discussions of the simplex algorithm and other methods to derive solutions for the above models. The Excel Solver software is also used in the course to solve linear programming problems. Discussions (Sensitivity Analysis) are included as to how changes or variations in a linear programming’s parameters affect the optimal solution.
Who this course is for:
- Students of Mathematics, Engineering, and Business
- Operations Engineers
- Production leaders
- Business Analysts
- Business Office Executives
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