Introduction to management science : a modeling and case studies approach with spreadsheets
Author(s)
Bibliographic Information
Introduction to management science : a modeling and case studies approach with spreadsheets
（The Irwin/McGraw-Hill series in operations and decision sciences）
McGraw-Hill, 2011
4th ed., international ed
- : pbk
Available at / 6 libraries
-
No Libraries matched.
- Remove all filters.
Note
Includes index
Description and Table of Contents
Description
Introduction to Management Science, 4e, 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.
Table of Contents
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 Crystal Ball Appendix A: Using the Solver Table Appendix B: Tips for Using Microsoft Excel for Modeling Appendix C: Partial Answers to Selected Problems 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 to Chapter 9: Decision Criteria Supplement to Chapter 10: Time-Series Forecasting with CB Predictor 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
by "Nielsen BookData"