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Managerial decision modeling : business analytics with spreadsheets / Nagraj (Raju) Balakrishnan [and three others].

De Gruyter DG Plus DeG Package 2017 Part 1 Available online

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EBSCOhost Academic eBook Collection (North America) Available online

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EBSCOhost Ebook Business Collection Available online

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Format:
Book
Author/Creator:
Balakrishnan, Nagraj, Author.
Language:
English
Subjects (All):
Management--Mathematical models.
Management.
Physical Description:
1 online resource (828 pages) : illustrations
Edition:
Fourth edition.
Place of Publication:
Boston, [Massachusetts] : DeG Press, 2017.
Language Note:
In English.
Summary:
This book fills a void for a balanced approach to spreadsheet-based decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors show how and why the methods work and combine the user's power to logically model and analyze diverse decision-making scenarios with software-based solutions. The book discusses the fundamental concepts, assumptions and limitations behind each decision modeling technique, shows how each decision model works, and illustrates the real-world usefulness of each technique with many applications from both profit and nonprofit organizations. The authors provide an introduction to managerial decision modeling, linear programming models, modeling applications and sensitivity analysis, transportation, assignment and network models, integer, goal, and nonlinear programming models, project management, decision theory, queuing models, simulation modeling, forecasting models and inventory control models. The additional material files Chapter 12 Excel files for each chapter Excel modules for Windows Excel modules for Mac 4th edition errata can be found at https://www.degruyter.com/view/product/486941
Contents:
Frontmatter
Acknowledgments
About the Authors
Contents
Preface
Chapter 1: Introduction to Managerial Decision Modeling
Chapter 2: Linear Programming Models: Graphical and Computer Methods
Chapter 3: Linear Programming Modeling Applications with Computer Analyses in Excel
Chapter 4: Linear Programming Sensitivity Analysis
Chapter 5: Transportation, Assignment, and Network Models
Chapter 6: Integer, Goal, and Nonlinear Programming Models
Chapter 7: Project Management
Chapter 8: Decision Analysis
Chapter 9: Queuing Models
Chapter 10: Simulation Modeling
Chapter 11: Forecasting Models
Appendix A: Probability Concepts and Applications
Appendix B: Useful Excel 2016 Commands and Procedures for Installing ExcelModules
Appendix C: Areas Under The Standard Normal Curve
Appendix D: Brief Solutions to All Odd-Numbered End-Of-Chapter Problems
Index
Notes:
Includes index.
Description based on online resource; title from PDF title page (ebrary, viewed September 11, 2017).
ISBN:
1-5015-0631-5
1-5015-0620-X
OCLC:
1002245213

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