Unlock the power of Excel Solver for Operations Research!
🔍 Learn step-by-step how to solve real-world optimization problems – from profit maximization to complex supply chain logistics – using Excel’s built-in Solver tool.
This comprehensive guide covers:
🔹 Linear Programming (LP) – Profit maximization & cost minimization
🔹 Integer, Mixed Integer, and Binary (0-1) Programming
🔹 Transportation, Transshipment, and Assignment Problems
🔹 Non-Linear Programming Models
You'll also learn how to:
✅ Set up data, define the objective function, and apply constraints
✅ Use Solver Answer & Sensitivity Reports to interpret:
• Binding Constraints
• Slack Variables
• Shadow Prices
• Coefficient Sensitivity
🎓 Ideal for Operations Research students, supply chain analysts, data scientists, business managers, and Excel power users seeking data-driven decision-making skills.
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Excel Solver, Operations Research, Linear Programming, Integer Programming, Optimization Problems, Transportation Problem, Assignment Problem, Sensitivity Analysis, Shadow Price, Slack Variables, Non-Linear Programming, Binary Programming, OR Models