Introduction to Management Science
United States Edition
10th Edition
Published on 24. April 2009
Book
Hardback
840 pages
978-0-13-606436-7 (ISBN)
Description
For undergraduate or graduate courses in Management Science, Quantitative Methods, and Decision Modeling.
Introduction to Management Science shows students how to approach decision-making problems in a straightforward, logical way.
By focusing on simple, straightforward explanations and examples with step-by-step details of the modeling and solution techniques, this text makes the mathematical topics of Management Science less complex.
The tenth edition retains the same readability and accessibility to techniques and applications as the widely-adopted previous editions, and also includes updated Excel spreadsheets, and new problems and case studies.
Introduction to Management Science shows students how to approach decision-making problems in a straightforward, logical way.
By focusing on simple, straightforward explanations and examples with step-by-step details of the modeling and solution techniques, this text makes the mathematical topics of Management Science less complex.
The tenth edition retains the same readability and accessibility to techniques and applications as the widely-adopted previous editions, and also includes updated Excel spreadsheets, and new problems and case studies.
More details
Edition
10th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 254 mm
Width: 203 mm
Weight
1650 gr
ISBN-13
978-0-13-606436-7 (9780136064367)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Bernard W. Taylor
Introduction to Management Science
Book
03/2012
11th Edition
Pearson
€217.87
Article is exhausted; no reprint
Previous edition
Book
03/2006
9th Edition
Pearson
€128.14
Article exhausted; check for reprint
Content
1. Management Science
The Management Science Approach to Problem Solving
Model Building: Break-Even Analysis
Computer Solution
Management Science Modeling Techniques
Business Usage of Management Science Techniques
Management Science Models in Descision Support Systems
2. Linear Programming: Model Formulation and Graphical Solution
Model Formulation
A Maximization Model Example
Graphical Solutions of Linear Programming Methods
A Minimization Model Example
Irregular Types of Linear Programming Problems
Characteristics of Linear Programming Problems
3. Linear Programming: Computer Solution and Sensitivity Analysis
Computer Solution
Sensitivity Analysis
4. Linear Programming: Modeling Examples
A Product Mix Example
A Diet Example
An Investment Example
A Marketing Example
A Transportation Example
A Blend Example
A Multiperiod Scheduling Example
A Data Envelopment Analysis Example
5. Integer Programming
Integer Programming Models
Integer Programming Graphical Solution
Computer Solution of Integer Programming Problems with Excel and QM for Windows
0-1 Integer Programming Modeling Examples
6. Transportation, Transshipment, and Assignment Problems
The Transportation Model
Computer Solution of a Transportation Problem
The Transshipment Model
The Assignment Model
Computer Solution of the Assignment Problem
7. Network Flow Models
Network Components
The Shortest Route Problem
The Minimal Spanning Tree Problem
The Maximal Flow Problem
8. Project Management
The Elements of Project Management
CPM/PERT
Probabilistic Activity Times
Microsoft Project
Project Crashing and Time-Cost Trade-Off
Formulating the CPM/PERT Network as a Linear Programming Model
9. Multicriteria Decision Making
Goal Programming
Graphical Interpretation of Goal Programming
Computer Solution of Goal Programming Problems with QM for Windows and Excel
The Analytical Hierarchy Process
Scoring Model
10. Nonlinear Programming
Nonlinear Profit Analysis
Constrained Optimization
Solution of Nonlinear Programming Problems with Excel
A Nonlinear Programming Model with Multiple Constraints
Nonlinear Model Examples
11. Probability and Statistics
Types of Probability
Fundamentals of Probability
Statistical Independence and Dependence
Expected Value
The Normal Distribution
12. Decision Analysis
Components of Decision Making
Decision Making without Probabilities
Decision Making with Probabilities
Decision Analysis with Additional Information
Utility
13. Queuing Analysis
Elements of Waiting Line Analysis
The Single-Server Waiting Line System
Undefined and Constant Service times
Finite Queue Length
Finite Calling Population
The Multiple-Server Waiting Line
Additional Types of Queuing Systems
14. Simulation
The Monte Carlo Process
Computer Simulation with Excel Spreadsheets
Simulation of a Queuing System
Continuous Probability Distributions
Statistical Analysis of Simulation Results
Crystal Ball
Verification of the Simulation Model
Areas of Simulation Application
15. Forecasting
Forecasting Components
Time Series Methods
Forecast Accuracy
Time Series Forecasting Using Excel
Time Series Forecasting Using QM for Windows
Regression Methods
16. Inventory Management
Elements of Inventory Management
Inventory Control Systems
Economic Order Quantity Models
The Basic EOQ Model
The EOQ Model with Noninstantaneous Receipt
The EOQ Model with Shortages
EOQ Analysis with QM for Windows
EOQ Analysis with Excel and Excel QM
Quantity Discounts
Reorder Point
Determining Safety Stocks Using Service Levels
Order Quantity for a Periodic Inventory System
Appendix A
Normal Table
Chi-Square Table
Appendix B
Setting Up and Editing a Spreadsheet
Appendix C
The Poisson and Exponential Distributions
Solutions to Selected Odd-Numbered Problems
Glossary
Index
Photo Credits
CD-ROM Modules
The Management Science Approach to Problem Solving
Model Building: Break-Even Analysis
Computer Solution
Management Science Modeling Techniques
Business Usage of Management Science Techniques
Management Science Models in Descision Support Systems
2. Linear Programming: Model Formulation and Graphical Solution
Model Formulation
A Maximization Model Example
Graphical Solutions of Linear Programming Methods
A Minimization Model Example
Irregular Types of Linear Programming Problems
Characteristics of Linear Programming Problems
3. Linear Programming: Computer Solution and Sensitivity Analysis
Computer Solution
Sensitivity Analysis
4. Linear Programming: Modeling Examples
A Product Mix Example
A Diet Example
An Investment Example
A Marketing Example
A Transportation Example
A Blend Example
A Multiperiod Scheduling Example
A Data Envelopment Analysis Example
5. Integer Programming
Integer Programming Models
Integer Programming Graphical Solution
Computer Solution of Integer Programming Problems with Excel and QM for Windows
0-1 Integer Programming Modeling Examples
6. Transportation, Transshipment, and Assignment Problems
The Transportation Model
Computer Solution of a Transportation Problem
The Transshipment Model
The Assignment Model
Computer Solution of the Assignment Problem
7. Network Flow Models
Network Components
The Shortest Route Problem
The Minimal Spanning Tree Problem
The Maximal Flow Problem
8. Project Management
The Elements of Project Management
CPM/PERT
Probabilistic Activity Times
Microsoft Project
Project Crashing and Time-Cost Trade-Off
Formulating the CPM/PERT Network as a Linear Programming Model
9. Multicriteria Decision Making
Goal Programming
Graphical Interpretation of Goal Programming
Computer Solution of Goal Programming Problems with QM for Windows and Excel
The Analytical Hierarchy Process
Scoring Model
10. Nonlinear Programming
Nonlinear Profit Analysis
Constrained Optimization
Solution of Nonlinear Programming Problems with Excel
A Nonlinear Programming Model with Multiple Constraints
Nonlinear Model Examples
11. Probability and Statistics
Types of Probability
Fundamentals of Probability
Statistical Independence and Dependence
Expected Value
The Normal Distribution
12. Decision Analysis
Components of Decision Making
Decision Making without Probabilities
Decision Making with Probabilities
Decision Analysis with Additional Information
Utility
13. Queuing Analysis
Elements of Waiting Line Analysis
The Single-Server Waiting Line System
Undefined and Constant Service times
Finite Queue Length
Finite Calling Population
The Multiple-Server Waiting Line
Additional Types of Queuing Systems
14. Simulation
The Monte Carlo Process
Computer Simulation with Excel Spreadsheets
Simulation of a Queuing System
Continuous Probability Distributions
Statistical Analysis of Simulation Results
Crystal Ball
Verification of the Simulation Model
Areas of Simulation Application
15. Forecasting
Forecasting Components
Time Series Methods
Forecast Accuracy
Time Series Forecasting Using Excel
Time Series Forecasting Using QM for Windows
Regression Methods
16. Inventory Management
Elements of Inventory Management
Inventory Control Systems
Economic Order Quantity Models
The Basic EOQ Model
The EOQ Model with Noninstantaneous Receipt
The EOQ Model with Shortages
EOQ Analysis with QM for Windows
EOQ Analysis with Excel and Excel QM
Quantity Discounts
Reorder Point
Determining Safety Stocks Using Service Levels
Order Quantity for a Periodic Inventory System
Appendix A
Normal Table
Chi-Square Table
Appendix B
Setting Up and Editing a Spreadsheet
Appendix C
The Poisson and Exponential Distributions
Solutions to Selected Odd-Numbered Problems
Glossary
Index
Photo Credits
CD-ROM Modules