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Introduction to management science : a modeling and case studies approach with spreadsheets

By: Hillier, Frederick SContributor(s): Hillier, Mark SMaterial type: TextTextPublication details: New Delhi McGraw Hill 2019Edition: 5th edDescription: 618pISBN: 9789353167103Subject(s): Management science | Operations research | Operations research--Data processingDDC classification: 658.4032 Summary: OVERVIEW Introduction to Management Science, 5e, 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. Each chapter includes a case study that is meant to show the students a real and interesting application of the topics addressed in that chapter. These cases and related applications cut across all functional areas of business and show how management science techniques apply in the business environment. KEY FEATURES - Use of Spreadsheets - A Modeling Approach - A Case Studies Approach - A New Software Package (Risk Solver Platform for Education (or RSPE for short). - Diverse examples, problems, and cases convey the pervasive relevance of management science - A strong managerial perspective - Excel tips interspersed among the margin notes
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Books Books IIMJ Library
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Chapter 1: Introduction
Chapter 2: Linear Programming: Basic Concepts
Chapter 3: Linear Programming: Formulation and Applications
Chapter 4: The Art of Modeling with Spreadsheets
Chapter 5: What-If Analysis for Linear Programming
Chapter 6: Network Optimization Problems
Chapter 7: Using Binary Integer Programming to Deal with Yes-or-No Decisions
Chapter 8: Nonlinear Programming
Chapter 9: Decision Analysis
Chapter 10: Forecasting
Chapter 11: Queueing Models
Chapter 12: Computer Simulation: Basic Concepts
Chapter 13: Computer Simulation with Risk Solver Platform


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


INDEX
SUPPLEMENTS ON THE CD-ROM
Supplement to Chapter 2: More about the Graphical Method for Linear Programming
Supplement to Chapter 5: Reduced Costs
Supplement to Chapter 6: Minimum Spanning-Tree Problems
Supplement 1 to Chapter 7: Advanced Formulation Techniques for Binary Integer Programming
Supplement 2 to Chapter 7: Some Perspectives on Solving Binary Integer Programming Problems
Supplement 1 to Chapter 9: Decision Criteria
Supplement 2 to Chapter 9: Using Tree Plan Software for Decision Trees
Supplement to Chapter 11: Additional Queueing Models
Supplement to Chapter 12: The Inverse Transformation Method for Generating
Random Observations


CHAPTERS ON THE CD-ROM
Chapter 14: Solution Concepts for Linear Programming
Chapter 15: Transportation and Assignment Problems
Chapter 16: PERT/CPM Models for Project Management
Chapter 17: Goal Programming
Chapter 18: Inventory Management with Known Demand
Chapter 19: Inventory Management with Uncertain Demand
Chapter 20: Computer Simulation with Crystal Ball

OVERVIEW
Introduction to Management Science, 5e, 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. Each chapter includes a case study that is meant to show the students a real and interesting application of the topics addressed in that chapter. These cases and related applications cut across all functional areas of business and show how management science techniques apply in the business environment.




KEY FEATURES
- Use of Spreadsheets
- A Modeling Approach
- A Case Studies Approach
- A New Software Package (Risk Solver Platform for Education (or RSPE for short).
- Diverse examples, problems, and cases convey the pervasive relevance of management science
- A strong managerial perspective
- Excel tips interspersed among the margin notes

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