This text's emphasis is on presenting management science in a manner that is managerially focused and easily understood by students. This is done in part by using easy to understand examples demonstrating each technique in understandable contexts. The text is application oriented dealing with realistic problems emphasizing model formulation, computer-based solution, and implementation of model results. The text uses models related to managerial application are used to demonstrate management science techniques. Techniques are illustrated by examples placed in a decision-making context. Model use is demonstrated by computer without being tied to specific computer systems.The text presents a comprehensive yet easily readable coverage of all important management science techniques. It also includes additional topics such as: (1) coverage of nonlinear programming, (2) coverage of analytic hierarchy process, (3) coverage of linear programming sensitivity analysis in a managerial context, (4) a decision support perspective toward management science is emphasized, aiming to support decision-makers by learning about the impact of alternative decisions.