Decision Models and Optimization in Business

Decision Models and Optimization in Business provides a comprehensive exploration of quantitative techniques essential for effective decision-making in various business contexts. Participants will engage with advanced mathematical programming tools and methodologies, applying them to real-world scenarios that enhance operational efficiency and strategic planning. The course emphasizes hands-on projects that facilitate the practical application of theoretical concepts, culminating in a final project that showcases the participant's ability to solve complex business problems using optimization techniques.
Throughout the course, learners will delve into various decision-making frameworks, including linear programming, integer programming, and simulation modeling. The interactive nature of the program encourages collaboration and knowledge sharing among participants, fostering an environment where innovative solutions can emerge. By the end of the course, participants will be equipped with the skills to analyze data-driven decisions, optimize resource allocation, and improve overall business performance.
Introduction to Decision Models and their Importance in Business
Fundamentals of Linear Programming
Integer and Mixed-Integer Programming Techniques
Sensitivity Analysis and its Applications
Network Flow Problems and Solutions
Simulation Modeling for Decision Support
Multi-Criteria Decision Analysis (MCDA)
Applications of Optimization in Supply Chain Management
Case Studies on Real-World Business Optimization
Final Project: Developing a Comprehensive Decision Model for a Business Challenge

To equip participants with the skills necessary to apply decision models and optimization techniques effectively in business settings.

Graduates, job seekers, business professionals, and optionally researchers or consultants.

A foundational understanding of mathematics and statistics; familiarity with basic programming concepts is advantageous.