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Quantitative Analysis for Management / Barry Render, Ralph M. Stair Jr. , Michael E. Hanna, Trevor S. Hale and T N Badri.

By: Material type: TextTextPublication details: New Delhi Pearson 2016Edition: 12th edDescription: 621 illustrations (some color) ; 29 cmISBN:
  • 9789332568853
Subject(s): DDC classification:
  • 519.5 B2798 Q 102412
Contents:
Table of Content "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, Assignment, and Network Models Chapter 10 Integer Programming, Goal Programming, and Nonlinear Programming Chapter 11 Project Management Chapter 12 Waiting Lines and Queuing Theory Models Chapter 13 Simulation Modeling Chapter 14 Markov Analysis Chapter 15 Statistical Quality Control Online Modules 1 Analytic Hierarchy Process M1-1 2 Dynamic Programming M2-1 3 Decision Theory and the Normal Distribution M3-1 4 Game Theory M4-1 5 Mathematical Tools: Determinants and Matrices M5-1 6 Calculus-Based Optimization M6-1 7 Linear Programming: The Simplex Method M7-1 8 Transportation, Assignment, and Network Algorithms M8-1"
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Holdings
Item type Current library Collection Call number Status Barcode
Books Books Ubhayabharati Management 519.5 B2798 Q 102412 (Browse shelf(Opens below)) Available 105192
Books Books Ubhayabharati Management Non-fiction 519.5 B2798 Q 102412 (Browse shelf(Opens below)) Available 102412

"Quantitative Analysis for Management, 12e, is a textbook aimed at helping undergraduate and graduate

students develop an in-depth understanding of business analytics, quantitative methods, and management

science. To enable students connect how the techniques presented in this book apply in the real world,

computer-based applications and examples are a major focus of this edition. Mathematical models, with all

the necessary assumptions, are presented in a clear and jargon-free language. The solution procedures are

then applied to example problems alongside step-by-step

Table of Content

"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, Assignment, and Network Models
Chapter 10 Integer Programming, Goal Programming, and Nonlinear Programming
Chapter 11 Project Management
Chapter 12 Waiting Lines and Queuing Theory Models
Chapter 13 Simulation Modeling
Chapter 14 Markov Analysis
Chapter 15 Statistical Quality Control
Online Modules
1 Analytic Hierarchy Process M1-1
2 Dynamic Programming M2-1
3 Decision Theory and the Normal
Distribution M3-1
4 Game Theory M4-1
5 Mathematical Tools: Determinants
and Matrices M5-1
6 Calculus-Based Optimization M6-1
7 Linear Programming: The Simplex
Method M7-1
8 Transportation, Assignment, and
Network Algorithms M8-1"

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