Quantitative Analysis for Management (12th Edition)

ISBN-13: 9780133507331

ISBN-10: 0133507335

Author: Barry Render, Ralph M. Stair, Michael E. Hanna, Trevor S. Hale

Edition: 12

Publication date:
Hardcover 587 pages
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Acknowledged author Barry Render wrote Quantitative Analysis for Management (12th Edition) comprising 587 pages back in 2014. Textbook and etextbook are published under ISBN 0133507335 and 9780133507331. Since then Quantitative Analysis for Management (12th Edition) textbook received total rating of 3.5 stars and was available to sell back to BooksRun online for the top buyback price of $26.89 or rent at the marketplace.


For courses in Management Science or Decision Modeling A solid foundation in quantitative methods and management science   This popular text gives students a genuine foundation in business analytics, quantitative methods, and management science—and how to apply the concepts and techniques in the real world—through a strong emphasis on model building, computer applications, and examples. The authors’ approach presents mathematical models, with all of the necessary assumptions, in clear, plain English, and then applies the ensuing solution procedures to example problems along with step-by-step, how-to instructions. In instances in which the mathematical computations are intricate, the details are presented in a manner that ensures flexibility, allowing instructors to omit these sections without interrupting the flow of the material. The use of computer software enables the instructor to focus on the managerial problem and spend less time on the details of the algorithms. Computer output is provided for many examples throughout the text.   Teaching and Learning Experience This text provides a solid foundation in quantitative methods and management science. Here’s how: Students see clearly how concepts and techniques are used in real organizations. Outstanding in-text features provide reinforcement and ensure understanding. The text’s use of software allows instructors to focus on the managerial problem, while spending less time on the mathematical details of the algorithms.