Quantitative Analysis for Management, 11/e
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Author(s):
Author:
Barry Render
- ISBN:9788131761649
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Price:
Rs. 499.00
- Pages:688
- Imprint:Pearson Education
- Binding:Paperback
- Status:Available
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The eleventh edition of Quantitative Analysis for Management places an emphasis on model building and computer applications to show students how the techniques presented in the text are actually used in business today. New examples and case studies show how theory, concepts, and principles can be translated into practical application by organizations around the world.
Table of Content
PREFACE - Introduction to Quantitative Analysis
- Probability Concepts and Applications
- Decision Analysis
- Regression Models
- Forecasting
- Inventory Control Models
- Linear Programming Models: Graphical and Computer Methods
- Linear Programming Applications
- Transportation and Assignment Models
- Integer Programming, Goal Programming, and Nonlinear Programming
- Network Models
- Project Management
- Waiting Lines and Queuing Theory Models
- Simulation Modeling
- Markov Analysis
- Statistical Quality Control
APPENDICES INDEX ONLINE MODULES MODULE 1 Analytic Hierarchy Process MODULE 2 Dynamic Programming MODULE 3 Decision Theory and the Normal Distribution MODULE 4 Game Theory MODULE 5 Mathematical Tools: Determinants and Matrices MODULE 6 Calculus-Based Optimization MODULE 7 Linear Programming: The Simplex Method
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Salient Features
- Modeling in the Real World boxes demonstrate the application of the quantitative analysis approach to every technique discussed in the book.
- Problems included in every chapter are application-oriented and test the student’s ability to solve exam-type problems.
- Procedure boxes summarize the more complex quantitative techniques, presenting them as a series of easily understandable steps.
- History boxes provide interesting asides related to the development of techniques and the people who originated them.
- QA in Action boxes illustrate how real organizations use quantitative analysis to solve problems.
- Online modules provide additional coverage of topics in quantitative analysis.
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