Quantitative Analysis for Management

Author:   Barry Render ,  Ralph M. Stair ,  Michael E. Hanna
Publisher:   Pearson Education (US)
Edition:   11th edition
ISBN:  

9780132149112


Pages:   672
Publication Date:   07 April 2011
Replaced By:   9780133507331
Format:   Hardback
Availability:   Awaiting stock   Availability explained


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Quantitative Analysis for Management


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Overview

A solid foundation in quantitative methods and management science.   Render/Stair/Hanna puts an emphasis on model building and computer applications to show readers how the techniques presented in the text are used in business. This text’s use of software also allows readers to focus on the managerial problem, while spending less time on the mathematical details of the algorithms.   In the eleventh edition, Excel 2010 has been incorporated throughout the text and an even greater emphasis on modeling is provided.

Full Product Details

Author:   Barry Render ,  Ralph M. Stair ,  Michael E. Hanna
Publisher:   Pearson Education (US)
Imprint:   Pearson
Edition:   11th edition
Dimensions:   Width: 21.60cm , Height: 3.00cm , Length: 27.60cm
Weight:   1.400kg
ISBN:  

9780132149112


ISBN 10:   0132149117
Pages:   672
Publication Date:   07 April 2011
Audience:   College/higher education ,  Tertiary & Higher Education
Replaced By:   9780133507331
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   Awaiting stock   Availability explained

Table of Contents

Chapter 1. Introduction to Quantitative Analysis Chapter 2. Probability Concepts and Applications Chapter 3. Decision Analysis Chapter 4. Regression Models Chapter 5. Forecasting Chapter 6. Inventory Control Models Chapter 7. Linear Programming Models: Graphical and Computer Methods Chapter 8. Linear Programming Applications Chapter 9. Transportation and Assignment Models Chapter 10. Integer Programming, Goal Programming, and Nonlinear Programming Chapter 11. Network Models Chapter 12. Project Management Chapter 13. Waiting Lines and Queuing Theory Models Chapter 14. Simulation Modeling Chapter 15. Markov Analysis Chapter 16. Statistical Quality Control

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