Management Science using Excel
(ebook)
(audiobook)
(audiobook)
- Wydawnictwo:
- BPB Publications
- Ocena:
- Stron:
- 312
- Dostępne formaty:
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Management Science using Excel
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. What you will learn
Learn how to set up decision making models on Excel.
Solve optimization problems in the areas of business and operations.
Harness the power of the Excel Solver add-in.
Apply Monte Carlo simulations of risky investments using Excel.
Learn how to predict future values using Excel forecasting features. Who this book is for
This book is for any business or operations practitioner, regardless of their role or experience level. Whether you are an analyst, a business professional, or a student, this book can help you to improve your problem-solving and decision-making skills. Table of Contents
1. Making Better Decisions with Management Science
2. Exploring Management Science Optimization Techniques
3. Unleash the Power of Excels Solver for Optimizations
4. Optimize Product Mix
5. Investment and Portfolio Optimization with Excels Solver
6. The Assignment Problem Challenges and Solutions
7. Solving Transportation Supply Chain Problems
8. Marketing Applications of Optimal Media Mix
9. Integer and Binary Optimization
10. The Scheduling Puzzle
11. Nonlinear Optimization Applied to Inventory and Facility Location
12. Monte Carlo Simulations
13. Simplifying Forecasting Using Excels Forecast Sheet Feature
14. Queuing and Waiting Time
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. What you will learn
Learn how to set up decision making models on Excel.
Solve optimization problems in the areas of business and operations.
Harness the power of the Excel Solver add-in.
Apply Monte Carlo simulations of risky investments using Excel.
Learn how to predict future values using Excel forecasting features. Who this book is for
This book is for any business or operations practitioner, regardless of their role or experience level. Whether you are an analyst, a business professional, or a student, this book can help you to improve your problem-solving and decision-making skills. Table of Contents
1. Making Better Decisions with Management Science
2. Exploring Management Science Optimization Techniques
3. Unleash the Power of Excels Solver for Optimizations
4. Optimize Product Mix
5. Investment and Portfolio Optimization with Excels Solver
6. The Assignment Problem Challenges and Solutions
7. Solving Transportation Supply Chain Problems
8. Marketing Applications of Optimal Media Mix
9. Integer and Binary Optimization
10. The Scheduling Puzzle
11. Nonlinear Optimization Applied to Inventory and Facility Location
12. Monte Carlo Simulations
13. Simplifying Forecasting Using Excels Forecast Sheet Feature
14. Queuing and Waiting Time
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Oceny i opinie klientów: Management Science using Excel Dr. Isaac Gottlieb (0) Weryfikacja opinii następuję na podstawie historii zamówień na koncie Użytkownika umieszczającego opinię. Użytkownik mógł otrzymać punkty za opublikowanie opinii uprawniające do uzyskania rabatu w ramach Programu Punktowego.