An Introduction to Management Science: Quantitative Approaches to Decision MakingProvides graduate and undergraduate students with an introduction to management science procedure and the role it plays in the decision- making process. This edition contains expanded presentation of Microsoft Excel spreadsheet appendices; new case problems to address current trends in management science; and a new management science software 5.0 package (available under a different ISBN). Includes self-test exercises with worked-out solutions. Annotation copyrighted by Book News, Inc., Portland, OR |
Contents
Introduction | 1 |
The Graphical Method | 21 |
The Simplex Method | 62 |
Copyright | |
20 other sections not shown
Common terms and phrases
activity analysis assignment problem b₁ backorder basic feasible solution basic variables c₁ calculations capacity chapter coefficients column component consider constraint cutting and dyeing d₁ d₂ decision variables deluxe bags demand determine develop distribution dual dynamic programming equation estimates example expected expected monetary value feasible region forecast formulation goal programming identify input integer integer linear program LINDO/PC linear programming model linear programming problem local maximum LP Relaxation management science matrix maximize maximum minimization minimum cost moving average node number of units objective function obtain operation optimal solution order quantity payoff period probability production profit reorder point route s₁ s₂ schedule shadow price shows simplex method simplex tableau simulation slack slack variables solution procedure solve stage standard bags surplus variables Table tableau form tion transportation problem truck waiting line week x₁ zero