A practical guide to using Excel for decision making, forecasting, optimization, and more

Key Features
● Solve a wide range of decision-making problems in operations, finance, and statistics.
● Build and use Excel models to analyze data and make informed decisions.
● Use the Excel Solve function to find the optimal solution to a problem.

Description
This book on management science serves as a valuable resource for enhancing problem-solving and decision-making skills across various domains, including organizations and business. By reading this book, you will acquire the ability to tackle complex decisions that would otherwise be challenging. The book covers a wide array of techniques, such as profit and performance maximization, Return on Investment (ROI) optimization, as well as cost, time, and risk minimization through tools like Monte Carlo simulations and sensitivity analysis.

Throughout the book, you'll come across numerous real-life examples and case studies from diverse fields such as banking, finance, transportation, manufacturing, manpower assignment, scheduling, inventory management, and even food and product mix. The book demonstrates both linear and nonlinear techniques, utilizing Excel Solver for finding solutions. Once you grasp the usage of Solver, you'll be able to apply the learned tools effectively to address problems relevant to your background, experience, and preferences.

What sets this book apart is its hands-on approach, leveraging Excel as the primary tool for problem-solving. Rather than relying on complex mathematical formulations and algorithms, you'll learn how to set up and solve problems in a straightforward manner using Excel.

---