Introduction to Management Science (10th Edition)
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品牌: Bernard W. Taylor
基本信息出版社:Prentice Hall; 10 (2009年3月5日)精装:840页正文语种:英语ISBN:0136064361条形码:9780136064367商品尺寸:25.4 x 20.6 x 2.8 cm商品重量:1.6 KgASIN:0136064361商品描述内容简介Introduction to Management Scienceshows readers how to approach decision-making problems in a straightforward, logical way.
Management Science; Linear Programming: Model Formulation and Graphical Solution; Linear Programming: Computer Solution and Sensitivity Analysis; Linear Programming: Modeling Examples; Integer Programming; Transportation, Transshipment, and Assignment Problems; Network Flow Models; Project Management; Multicriteria Decision Making; Nonlinear Programming; Probability and Statistics; Decision Analysis; Queuing Analysis; Simulation; Forecasting; Inventory Management
MARKET: This text equips readers with the skills and knowledge they need to solve problems through the use of mathematical models and computer solutions that implement the latest technology. Taylor’s objective was to focus on using simple, straightforward explanations and detailed step-by-step examples that readers would find understandable and easy-to-read.
目录
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
