Linear Programming & Sensitivity Analysis in OPL CPLEX Studio | Full Tutorial with Blending Problem

Master Linear Programming and Sensitivity Analysis using IBM ILOG CPLEX Optimization Studio! This detailed tutorial walks you through using CPLEX Studio with OPL (Optimization Programming Language) to build and solve Linear Programming (LP) models and interpret sensitivity results like reduced costs and shadow prices. 📘 What you’ll learn in this video: 🔹 How to download, install, and activate IBM ILOG CPLEX (free academic version) 🔹 Defining decision variables, objective functions, and constraints in OPL 🔹 Modeling and solving linear programming problems step-by-step 🔹 How to perform sensitivity analysis:  ✔ Understand reduced costs  ✔ Interpret shadow prices 🔹 Structuring data with sets and arrays in OPL 🔹 Case study: A blending problem example with full implementation 🔹 Best practices for debugging, interpreting, and optimizing solutions 🎯 Perfect for industrial engineers, operations researchers, data scientists, and students working with optimization and decision modeling. 📌 Like 👍, Comment 💬, and Subscribe 🔔 for more tutorials on CPLEX, optimization modeling, and advanced analytics in operations research.