Business Optimization with Linear Programming

Business Optimization with Linear Programming focuses on equipping participants with the skills necessary to apply mathematical modeling techniques to real-world business challenges. The course is structured to provide hands-on experience through project-based learning, allowing participants to engage with practical scenarios that require optimization strategies. By the end of the program, learners will be adept at formulating linear programming models, analyzing data, and deriving actionable insights to improve operational efficiency.
Participants will delve into various optimization techniques, including resource allocation, production scheduling, and cost minimization. The curriculum emphasizes the application of linear programming in diverse business contexts, fostering an environment where learners can collaborate on projects that simulate real industry problems. Furthermore, there is an opportunity for participants to publish their findings in Cademix Magazine, contributing to the broader discourse in the field.
Introduction to Linear Programming Concepts
Formulating Linear Programming Models
Graphical Method for Two-Variable Problems
Simplex Method for Multi-Variable Problems
Sensitivity Analysis and Interpretation
Duality in Linear Programming
Applications in Resource Allocation and Scheduling
Case Studies in Business Optimization
Software Tools for Linear Programming (e.g., Excel Solver, LINDO)
Final Project: Developing a Comprehensive Optimization Strategy for a Business Case

Equip participants with the ability to apply linear programming techniques to optimize business processes effectively.

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

Basic understanding of algebra and introductory statistics. Familiarity with spreadsheets is beneficial.