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Introduction to Management Science : A Modeling and Case Studies Approach with Spreadsheets / Frederick S. Hillier, and Mark S. Hillier

By: Hillier, Frederick S.
Contributor(s): Hillier, Mark S.
Publisher: Chennai : McGraw Hill Education (India) Private Limited, c2019Edition: 6th ed.Description: xviii, 622 p. : ill. ; 28 cm.ISBN: 9789355325082.Subject(s): Management science | Operations researchDDC classification: 658.4032
Contents:
1 Introduction 2 Linear Programming: Basic Concepts 3 Linear Programming: Formulation and Applications 4 The Art of Modeling with Spreadsheets 5 What-If Analysis for Linear Programming 6 Network Optimization Problems 7 Using Binary Integer Programming to Deal with Yes-or-No Decisions 8 Nonlinear Programming 9 Decision Analysis 10 Forecasting 11 Queueing Models 12 Computer Simulation: Basic Concepts 13 Computer Simulation with Analytic Solver APPENDIXES A Tips for Using Microsoft Excel for Modeling B Partial Answers to Selected Problems CHAPTERS available Online 14 Solution Concepts for Linear Programming 15 Transportation and Assignment Problems 16 PERT/CPM Models for Project Management 17 Goal Programming 18 Inventory Management with Known Demand 19 Inventory Management with Uncertain Demand 20 Computer Simulation with Crystal Ball
Summary: The sixth edition of this book focuses on business situations, including prominent non-mathematical issues, the use of spreadsheets, and involves model formulation and assessment more than model structuring. This text offers a unique model approach and integrates the use of Excel. Through this approach students are better able to grasp the essential concepts covered in the course and see their utility. In addition to examples, nearly every chapter includes one or two case studies patterned after actual applications to convey the whole process of applying management science. Key Features: • Strong managerial Perspective having extensive use of Spreadsheet. • A Modelling and a Case based approach. • Coverage on new topics like Role of Robust Optimization in What-If Analysis, Chance Constraints, Relationship Between Analytics and Management Science, etc. • Thorough updating of the Book. Numbers and other details describing their application in certain problems, cases, and examples have been updated along with capturing the uses of new technologies. • Diverse examples, problems, and cases convey the pervasive relevance of management science. • Excel tips interspersed among the margin notes
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Item type Current location Call number Status Date due Barcode
Books Books IMU Kolkata
Reference
658.4032 H6543 (Browse shelf) Available 14341
Books Books IMU Kolkata
658.4032 H6543 (Browse shelf) Available 14342
Books Books IMU Kolkata
658.4032 H6543 (Browse shelf) Available 14343
Books Books IMU Kolkata
658.4032 H6543 (Browse shelf) Available 14344

Indian edition

Includes index.

1 Introduction
2 Linear Programming: Basic Concepts
3 Linear Programming: Formulation and Applications
4 The Art of Modeling with Spreadsheets
5 What-If Analysis for Linear Programming
6 Network Optimization Problems
7 Using Binary Integer Programming to Deal with Yes-or-No Decisions
8 Nonlinear Programming
9 Decision Analysis
10 Forecasting
11 Queueing Models
12 Computer Simulation: Basic Concepts
13 Computer Simulation with Analytic Solver

APPENDIXES
A Tips for Using Microsoft Excel for Modeling
B Partial Answers to Selected Problems

CHAPTERS available Online
14 Solution Concepts for Linear Programming
15 Transportation and Assignment Problems
16 PERT/CPM Models for Project Management
17 Goal Programming
18 Inventory Management with Known Demand
19 Inventory Management with Uncertain Demand
20 Computer Simulation with Crystal Ball


The sixth edition of this book focuses on business situations, including prominent non-mathematical issues, the use of spreadsheets, and involves model formulation and assessment more than model structuring. This text offers a unique model approach and integrates the use of Excel. Through this approach students are better able to grasp the essential concepts covered in the course and see their utility. In addition to examples, nearly every chapter includes one or two case studies patterned after actual applications to convey the whole process of applying management science.


Key Features:

• Strong managerial Perspective having extensive use of Spreadsheet.
• A Modelling and a Case based approach.
• Coverage on new topics like Role of Robust Optimization in What-If Analysis, Chance Constraints, Relationship Between Analytics and Management Science, etc.
• Thorough updating of the Book. Numbers and other details describing their application in certain problems, cases, and examples have been updated along with capturing the uses of new technologies.
• Diverse examples, problems, and cases convey the pervasive relevance of management science.
• Excel tips interspersed among the margin notes

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