This revised edition provides students with a conceptual understanding of the role that quantitative methods play in the decision-making process. This text describes the many quantitative methods that have been developed over the years, explains how they work, and shows how the decision-maker can apply and interpret data. Written with the non-mathematician in mind, this text is applications-oriented. Its "Problem-Scenario Approach" motivates and helps students understand and apply mathematical concepts and techniques. In addition, the managerial orientation motivates students by using examples that illustrate situationsin which quantitative methods are useful in decision making.
目次
Introduction to Probability
probability distributions
decision Analysis
utility and decision making
forecasting
an introduction to linear programming
linear programming sensitivity analysis and interpretation of solution
linear programming - applications
transportation, assignment, and transshipment problems