Description

Book Synopsis

Barry Render is Professor Emeritus, the Charles Harwood Distinguished Professor of Operations Management, Crummer Graduate School of Business, Rollins College, Winter Park, Florida. He received his BS in Mathematics and Physics at Roosevelt University and his MS in Operations Research and his PhD in Quantitative Analysis at the University of Cincinnati. He previously taught at George Washington University, the University of New Orleans, Boston University, and George Mason University, where he held the Mason Foundation Professorship in Decision Sciences and was Chair of the Decision Science Department. Dr. Render has also worked in the aerospace industry for General Electric, McDonnell Douglas, and NASA.

Dr. Render has coauthored 10 textbooks published by Pearson, including Managerial Decision Modeling with Spreadsheets, Operations Management, Principles of Operations Management, Service Management, Int

Table of Contents

  1. Introduction to Quantitative Analysis
  2. Probability Concepts and Applications
  3. Decision Analysis
  4. Regression Models
  5. Forecasting
  6. Inventory Control Models
  7. Linear Programming Models: Graphical and Computer Methods
  8. Linear Programming Applications
  9. Transportation, Assignment, and Network Models
  10. Integer Programming, Goal Programming, and Nonlinear Programming
  11. Project Management
  12. Waiting Lines and Queuing Theory Models
  13. Simulation Modeling
  14. Markov Analysis
  15. Statistical Quality Control
APPENDICES
  1. Areas Under the Standard Normal Curve
  2. Binomial Probabilities
  3. Values of for Use in the Poisson Distribution
  4. F Distribution Values
  5. Using POM-QM for Windows
  6. Using Excel QM and Excel Add-Ins
  7. Solutions to Selected Problems
  8. Solutions to Self-Tests
ONLINE MODULES
  1. Analytic Hierarchy Process
  2. Dynamic Programming
  3. Decision Theory and the Normal Distribution
  4. Game Theory
  5. Mathematical Tools: Determinants and Matrices
  6. Calculus-Based Optimization
  7. Linear Programming: The Simplex Method
  8. Transportation, Assignment, and Network Algorithms
  9. Business Analytics

Quantitative Analysis for Management Global

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    Description

    Book Synopsis

    Barry Render is Professor Emeritus, the Charles Harwood Distinguished Professor of Operations Management, Crummer Graduate School of Business, Rollins College, Winter Park, Florida. He received his BS in Mathematics and Physics at Roosevelt University and his MS in Operations Research and his PhD in Quantitative Analysis at the University of Cincinnati. He previously taught at George Washington University, the University of New Orleans, Boston University, and George Mason University, where he held the Mason Foundation Professorship in Decision Sciences and was Chair of the Decision Science Department. Dr. Render has also worked in the aerospace industry for General Electric, McDonnell Douglas, and NASA.

    Dr. Render has coauthored 10 textbooks published by Pearson, including Managerial Decision Modeling with Spreadsheets, Operations Management, Principles of Operations Management, Service Management, Int

    Table of Contents

    1. Introduction to Quantitative Analysis
    2. Probability Concepts and Applications
    3. Decision Analysis
    4. Regression Models
    5. Forecasting
    6. Inventory Control Models
    7. Linear Programming Models: Graphical and Computer Methods
    8. Linear Programming Applications
    9. Transportation, Assignment, and Network Models
    10. Integer Programming, Goal Programming, and Nonlinear Programming
    11. Project Management
    12. Waiting Lines and Queuing Theory Models
    13. Simulation Modeling
    14. Markov Analysis
    15. Statistical Quality Control
    APPENDICES
    1. Areas Under the Standard Normal Curve
    2. Binomial Probabilities
    3. Values of for Use in the Poisson Distribution
    4. F Distribution Values
    5. Using POM-QM for Windows
    6. Using Excel QM and Excel Add-Ins
    7. Solutions to Selected Problems
    8. Solutions to Self-Tests
    ONLINE MODULES
    1. Analytic Hierarchy Process
    2. Dynamic Programming
    3. Decision Theory and the Normal Distribution
    4. Game Theory
    5. Mathematical Tools: Determinants and Matrices
    6. Calculus-Based Optimization
    7. Linear Programming: The Simplex Method
    8. Transportation, Assignment, and Network Algorithms
    9. Business Analytics

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