Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets

Business decisions often involve competing goals, limited resources, and uncertainty. Introduction to Management Science shows how mathematical models and spreadsheet analysis can help make those problems more structured and easier to examine. This sixth edition pairs methods with case studies, keeping the focus on how management science can be applied to business situations.

Model the decision, not just the numbers

The book develops a practical path from recognizing a decision problem to formulating a model and assessing what its results mean. Spreadsheet-based work is central to that approach, giving readers a familiar environment for exploring models and comparing possible choices.

From optimization to uncertainty

Topics include linear programming, network optimization, binary integer programming, and nonlinear programming, alongside decision analysis, forecasting, queueing models, and computer simulation. The range introduces several ways to frame and study operational and managerial questions.

Case studies connect methods to applications

Examples and case studies bring the analytical techniques into applied settings. The cases, developed by Karl Schmedders and Molly Stephens, help illustrate the role of modeling in addressing real-world management problems.

For students of quantitative business decisions

This text is relevant to readers studying management science or operations research, as well as those seeking an introduction to spreadsheet modeling and analytical approaches to business decisions. Its emphasis on formulation and interpretation makes the reasoning behind a model as important as the calculations themselves.