An introduction to management science : quantitative approaches to decision making / David Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Chochran, Michael J. Fry, and Jeffrey W. Ohlmann.
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TextPublisher: Taguig City, Philippines : Cengage Learning Asia Pte Ltd., c2019Edition: Fourteenth edition ; Philippine editionDescription: xxvii, 877 pages : illustrations (black and white) ; 25 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9789814839662 [newsprint]Subject(s): Management science | Management science -- Mathematical models | Management science -- Problems, exercises, etc| Item type | Current location | Call number | Copy number | Status | Date due | Barcode |
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College Library Reserved (Main) | 658.403 An23 2019 (Browse shelf) | c.1 | Available | 3UCBL000025270 | |
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| 658.403 An23 2019 An introduction to management science : quantitative approaches to decision making / | 658.403 An23 2019 An introduction to management science : quantitative approaches to decision making / | 658.403 An23 2019 An introduction to management science : quantitative approaches to decision making / | 658.403 An23 2019 An introduction to management science : quantitative approaches to decision making / | 658.403 C14 2024 An introduction to management science : quantitative approaches to decision making / | 658.403 H26 2006 Harvard business essentials : | 658.4032 H55 2010 Introduction to operations research / |
Includes indexes.
Contents : Chapter 1 Introduction -- Chapter 2 An introduction to linear programming -- Chapter 3 Linear programming: sensitivity analysis and interpretation of solution -- Chapter 4 Linear programming applications in marketing, finance, and operations management -- Chapter 5 Advanced linear programming applications -- Chapter 6 Distribution and network models -- Chapter 7 Integer linear programming -- Chapter 8 Nonlinear optimization models -- Chapter 9 Project scheduling: PERT/CPM -- Chapter 10 Inventory models -- Chapter 11 Waiting line models -- Chapter 12 Simulation -- Chapter 13 Decision analysis -- Chapter 14 Multicriteria decisions -- Chapter 15 Time series analysis and forecasting -- Chapter 16 Markov processes -- Chapter 17 Linear programming: simplex method -- Chapter 18 Simplex-based sensitivity analysis and duality -- Chapter 19 Solution procedures for transportation and assignment problems -- Chapter 20 Minimal spanning tree -- Chapter 21 Dynamic programming.
"We are very excited to publish the fourteenth edition of a text that has been a leader in the field for nearly 25 years. The purpose of this fourteenth edition, as with previous editions, is to provide undergraduate and graduate students with a sound conceptual understanding of the role that management science plays in the decision-making process. The text describes many of the applications where management science is used successfully. Former users of this text told us that the applications we describe have led them to find new ways to use management science in their organizations. An Introduction to Management Science: Quantitative Approaches to Decision Making, 14e is applications oriented and continues to use the problem-scenario approach that is a hallmark of every edition of the text. Using the problem-scenario approach, we describe a problem in conjunction with the management science model being introduced. The model is then solved to generate a solution and recommendation to management. We have found that this approach helps to motivate the student by demonstrating not only how the procedure works, but also how it contributes to the decision-making process." -- Provided by the publisher
Adult
Biore, Christopher College of Business and Accountancy Business / Management
Biore, Christopher College of Business and Accountancy Business / Management
Biore, Christopher College of Business and Accountancy Business / Management
Biore, Christopher College of Business and Accountancy Business / Management
Donation Biore, Christopher College of Business and Accountancy Business / Management
Donation Biore, Christopher College of Business and Accountancy Business / Management
Text in English
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