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/Irwin, c2008
3rd ed
Available at 6 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes index
Description and Table of Contents
Table of 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 Crystal Ball Chapters on the CD-Rom 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 Index A. Using the Sover Table B. Tips for Using Microsoft Excel for Modeling C. Partial Answers to Selected Problems
by "Nielsen BookData"