A logical, step-by-step approach to complex problem-solving
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 modeling techniques that are used extensively in the business world and provides a useful framework for problem-solving that students can apply in the workplace.
1. Updated - Excel® 2016 Spreadsheet solutions are demonstrated in almost all of the chapters for virtually every management science modeling technique presented.
2. New - 175+ Spreadsheet screenshots appear throughout, most of which include reference boxes to describe the solution steps. Data files for these model solutions can be downloaded to work homework problems.
3. The latest versions of Excel QM for Windows, Risk Solver Platform for Education, TreePlan, Crystal Ball by Oracle, and Microsoft Project, used by businesses and organizations, are included and ideal for further learner exploration.
作者介紹
作者簡介
Bernard W. Taylor III
現職:Virginia Polytechnic Institute and State University
目錄
Ch 1 Management Science
Ch 2 Linear Programming: Model Formulation and Graphical Solution
Ch 3 Linear Programming: Computer Solution and Sensitivity Analysis
Ch 4 Linear Programming: Modeling Examples
Ch 5 Integer Programming
Ch 6 Transportation, Transshipment, and Assignment Problems
Ch 7 Network Flow Models
Ch 8 Project Management
Ch 9 Multicriteria Decision Making
Ch10 Nonlinear Programming
Ch11 Probability and Statistics
Ch12 Decision Analysis
Ch13 Queuing Analysis
Ch14 Simulation
Ch15 Forecasting
Ch16 Inventory Management
Appendix A: Normal and Chi-Square Tables
Appendix B: Setting Up and Editing a Spreadsheet
Appendix C: The Poisson and Exponential Distributions