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Easy to understand-even for learners with limited math backgrounds, this book uses a modeling approach to provide thorough coverage of the basic techniques in quantitative methods and focuses on the managerial applications of these techniques. An interesting and reader friendly writing style makes for a clear presentation, complete with all the necessary assumptions and mathematical details. Chapter topics include probability concepts and applications, decision models and decision trees, regression models, forecasting, inventory control models, linear programming modeling applications and computer analyses, network models, project management, simulation modeling, and more. For an introduction toquantitative analysis, quantitative management, operations research, or management science-especially for those individuals preparing for work in agricultural economics and health care fields.
This text investigates how quantitative modeling techniques can be systematically applied to solve complex management problems and improve organizational decision-making. Authors Barry Render and Ralph Stair Jr. utilize a pedagogical framework designed for students with limited mathematical backgrounds, emphasizing the practical application of statistical and optimization models in real-world business environments. The book bridges the gap between abstract mathematical theory and managerial utility by providing clear, step-by-step explanations of foundational quantitative methods.
What You Will Find
The subject matter points to a foundational, instructional text intended for undergraduate or introductory graduate students in business and management disciplines. The framing suggests a focus on accessibility and practical application, prioritizing the utility of quantitative tools for future managers over purely theoretical derivation.
Page Count:
800
Publication Date:
1990-12-01
Publisher:
Pearson Higher Education
ISBN-10:
0205129307
ISBN-13:
9780205129300
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