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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 managerial problems and improve organizational decision-making. Authors Barry Render and Ralph M. Stair utilize a pedagogical framework designed for students with limited mathematical backgrounds, prioritizing practical application over abstract theory. By integrating computer analyses with foundational mathematical concepts, the book provides a structured approach to operations research and management science.
What You Will Find
The subject matter points to a foundational, accessible introduction intended for undergraduate or introductory graduate business students. The framing suggests a focus on clarity and utility, prioritizing the translation of complex mathematical models into actionable management strategies.
Page Count:
792
Publication Date:
1988-01-01
Publisher:
Allyn and Bacon
ISBN-10:
0205114105
ISBN-13:
9780205114108
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