Using simple, straightforward examples to present complex mathematical concepts, Introduction to Management Science gives students a strong foundation in how to logically approach decision-making problems. Sample problems are used liberally throughout the text to facilitate the learning process and demonstrate different quantitative techniques. Management Science presents modelling techniques that are used extensively in the business world and provides a useful framework for problem-solving that students can apply in the workplace.
Contents:
Management Science
Linear Programming: Model Formulation and Graphical Solution
Linear Programming: Computer Solution and Sensitivity Analysis
Linear Programming: Modelling Examples
Integer Programming
Transportation, Transhipment and Assignment Problems
Network Flow Models
Project Management
Multi-criteria Decision Making
Nonlinear Programming
Probability and Statistics
Decision Analysis
Queuing Analysis
Simulation
Forecasting
Inventory Management
Appendix A: Normal and Chi-Square Tables
Appendix B: Setting Up and Editing a Spreadsheet Site Modules
Appendix C: The Poisson and Exponential Distributions