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Introduction to Management Science with Student CD, 9/E
Bernard W. TaylorVirginia Politechnic Institute and State University

ISBN-10: 0131888099
ISBN-13:  9780131888098

Publisher:  Prentice Hall
Copyright:  2007
Format:  Cloth Bound w/CD-ROM; 800 pp
Published:  02/01/2006
Status: Out of Print


    New edition available


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Description

For undergraduate or MBA courses in Management Science, Quantitative Methods, and Decision Modeling.

 

This text focuses on using simple, straightforward explanations and examples with step-by-step details of the modeling and solution techniques to make these mathematical topics less complex.


Features

Do your students generally have trouble understanding the quantitative techniques as they are presented in the book you are using now? How do you judge if a book if accessible? Do you find students learn material better when they can digest content material in bit sized chunks?

  • Short, easy-to-read chapters.
    • Focuses students on clear explanations of the math involved,and learning through detailed step-by-step examples.

 What topics do you cover in your course?

  • Comprehensive coverage and flexible organization. Taylor is very comprehensive and includes virtually all management topics an adopter would want in either the text or the supplementary modules on the CD that accompanies the text.

    • Accommodates instructors with a broad range of management science course structures and worked examples in the narrative and at the end of each chapter.

What type of examples do you use to motivate students?  Do you have trouble relating the quantitative techniques in this course to the real world? Do your students have trouble seeing the relevance of the quantitative techniques?

  • NEW! “Management Science Application Boxes”–Includes 15 new boxes in this edition, spread throughout. These boxes report on how specific management science techniques have been applied in actual companies and organizations to solve real-world problems.
    • Demonstrates to students how management science techniques are utilized in real life to improve efficiency and save money.

How do you prefer your students do their homework assignments — manually or using software?  

  • Solutions Manual includes all problems worked out in detail manually, plus the instructor’s CD includes Excel solutions for virtually all homework problems and cases in the text.  The Excel solutions can be used by the instructor to demonstrate Excel solutions or they can be downloaded directly to the student.
    • Allows instructors the flexibility to do problems manually or using software.

Do you like to have a large pool of homework problems ranging from easy to difficult to assign to your students?

  • New! Additional homework problems and case problems- Includes 720 homework problems, 30 of which are new for this edition, and 52 end-of-chapter cases, 4 of which are new.  The homework problems range from very easy to very difficult.  The cases provide the opportunity to test the student’s ability and knowledge for difficult problems set in a real-world scenario.  Many of the homework problems and cases include in-depth questions that test the student’s understanding of the modeling concept and the solution results.
    • Gives students the hands-on practice they need.

What different types of software do you use to in your course?

  • NEW! Extensive use of software and free spreadsheet software on the Student CD–Taylor focuses primarily on Excel spreadsheet solutions of most examples in the text, however he also demonstrates the application of QM for Windows in all chapters and Excel QM in appropriate chapters, so that the text is compatible with whichever software the instructor prefers.
    • Includes the student versions of Crystal Ball (ch. 14 on simulation), Tree Plan (ch. 12 on Decision Analysis), and Microsoft Project(ch. 8). Plus, our exciting free Excel QM software.
    • Provides instructor and students with various, easy-to-use, computer software options for class assignments and homework problems.

 Do you include the simplex method in your linear programming coverage?

  • Uses both Excel and QM for Windows to solve LP in the text.  The CD that accompanies the text has a module that covers the simplex method in depth, and solves all examples in the main text with the simplex method.  Additional modules are included on the CD for the manual (i.e., mathematical) solution of Transportation and Assignment problems, Integer Programming problems, Nonlinear Programming problems, Game Theory and Markov Analysis.

    • Provides lots of flexibility depending on the instructors methods of choice

 

This text is available for personalization in the PHCBR custom database program.  Select only the chapters you require or supplement with recommended case studies all under one cover.  CLICK HERE to go directly to the PHCBR book-build site or visit our product page for additional information at pearsoncustom.com/business.


New To This Edition

  • New Chapter 8 on Project Management has been completely rewritten to focus on activity-on-node networks and Microsoft Project. Also includes are new sections on Project Planning, the Project Team, Scope Statement, Work Breakdown Structure, Responsibility Assignment Matrix, Project Scheduling and Project Control.
  • The new edition includes over 720 homework problems, 30 of which are new, and 52 end-of-chapter cases, 4 are new.
  • There are 50 Management Science "Applications" boxes, 15 are new.

 


Table of Contents

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    

 

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 

       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

       Project Networks

       Probabilistic Activity Times

       Activity-on-Node Networks and 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

       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

 

Appendix B

Setting Up and Editing a Spreadsheet

 

Appendix C

The Poisson and Exponential Distributions

 

Solutions to Slected Odd-Numbered Problems

 

Glossary

 

Index

 

Photo Credits

 

CD-ROM Modules

 

                      

  

        


Next Edition(s)

  • Introduction to Management Science, 11/E
    Taylor
    ©2013  |  Prentice Hall  |  Cloth; 840 pp  |  Instock
    ISBN-10: 0132751917  |  ISBN-13: 9780132751919
    Brief Description  |  More Info

  • Introduction to Management Science, 11/E
    Taylor
    ©2013  |  Prentice Hall  |  Cloth; 840 pp  |  Instock
    ISBN-10: 0132751917  |  ISBN-13: 9780132751919
    Brief Description  |  More Info

  • Introduction to Management Science, 11/E
    Taylor
    ©2013  |  Prentice Hall  |  Cloth; 840 pp  |  Instock
    ISBN-10: 0132751917  |  ISBN-13: 9780132751919
    Brief Description  |  More Info

  • Introduction to Management Science, 10/E
    Taylor
    ©2010  |  Prentice Hall  |  Cloth; 840 pp  |  Out of Stock
    ISBN-10: 0136064361  |  ISBN-13: 9780136064367
    Brief Description  |  More Info



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