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By Cliff Ragsdale
South-Western College Pub
Hardcover (840 pages)
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Cliff Ragsdale is an innovator of the spreadsheet teaching revolution and is highly regarded in the field of management science. The revised fifth edition of SPREADSHEET MODELING AND DECISION ANALYSIS retains the elements and philosophy that has made its past editions so successful. New topics have been added as well as examples that are relevant to decision making in today's business world. This version of SPREADSHEET MODELING AND DECISION ANALYSIS has been updated for use with Microsoft® Office Excel® 2007. It provides succinct instruction in the most commonly used management science techniques and shows how these tools can be implemented using the most current version of Excel® for Windows. This text also focuses on developing both algebraic and spreadsheet modeling skills. |
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By Byron Gottfried
McGraw-Hill Science/Engineering/Math
Paperback (512 pages)
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This practical text is a perfect fit for introductory engineering courses by successfully combining an introduction to Excel fundamentals with a clear presentation on how Excel can be used to solve common engineering problems. Updated to ensure compatibility with Excel 2007, Spreadsheet Tools for Engineers Using Excel 2007 provides beginning engineering students with a strong foundation in problem solving using Excel as the modern day equivalent of the slide rule. As part of McGraw-Hill's BEST series for freshman engineering curricula, this text is particularly geared toward introductory students. The author provides plenty of background information on technical terms, and provides numerous examples illustrating both traditional and spreadsheet solutions for a variety of engineering problems. The first three chapters introduce the basics of problem solving and Excel fundamentals. Beyond that, the chapters are largely independent of one another. Topics covered include graphing data, unit conversions, data analysis, interpolation and curve fitting, solving equations, evaluating integrals, creating macros, and comparing economic alternatives. |
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By Stephen G. Powell
Wiley
Hardcover (528 pages)
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The update to the second edition of Management Science: The Art of Modeling with Spreadsheets by Steve Powell and Ken Baker is revised to be compatible with Microsoft Excel 2007. Like the original second edition, the text expands upon the essential skills needed to develop real expertise in business modeling. In principle, two students could work side by side in a course, one using the Second Edition and relying on Excel 2003, the other using the Update Edition and relying on Excel 2007. They will be able to learn the same skills, as both versions of the book are self-contained. |
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By Byron S. Gottfried
McGraw Hill Higher Education
Paperback (480 pages)
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This best-selling Spreadsheet book provides excellent coverage of all versions of Excel including the latest version, Excel 2002. It discusses how to use Excel to solve a variety of problems in introductory engineering analysis, such as graphing data, unit conversions, simple statistical analysis, sorting, searching and analyzing data, curve fitting, interpolation, solving algebraic equations, logical decisions, evaluating integrals, comparing economic alternatives, and finding optimum solutions. Numerous examples are included illustrating both traditional and spreadsheet solutions to a variety of problems. The underlying mathematical solution procedures are also discussed, so that the reader is provided with an understanding of what the spreadsheet does and how it does it. |
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By Nagraj Balakrishnan & Ralph M Stair
Prentice Hall
Hardcover (651 pages)
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For undergraduate or graduate spreadsheet based courses in Management Science, Decision Modeling, Quantitative Methods, or Operations Research. This text emphasizes balancing the theory behind decision modeling and the use of spreadsheets to easily set up and solve these models. From a managerial perspective, the purpose of decision modeling is to gain insight into the problem, not the detailed mechanics of the solution process. |
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By Michelle M.H. Seref & Wayne L. Winston
Dynamic Ideas
Hardcover (910 pages)
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A decision support system (DSS) is an intelligent information system that uses data, models it, processes or analyzes it using problem-specific methodologies, and assists the user in the decision-making process through a graphical user interface (GUI). Developing Spreadsheet-Based Decision Support Systems is a comprehensive book that describes how to build decision support systems using the Excel spreadsheet framework and the VBA programming language. This book illustrates complete decision support development applications through several case studies arising in operations research, industrial engineering, management, and business administration. |
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By S. Christian Albright
South-Western College Pub
Hardcover (600 pages)
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Chris Albright and Wayne Winston have brought their hallmark teach-by-example approach to the undergraduate spreadsheet modeling course. Renowned for their other successful texts in operations research/management science, Winston and Albright successfully show how spreadsheets are used in real life to model and analyze real business problems. By modeling problems using spreadsheets from the outset, SPREADSHEET MODELING AND APPLICATIONS prepares future managers for the types of problems they will encounter on the job. Real cases throughout the text further cement this book's status as the most relevant of its kind on the market. This text is also accompanied by Palisade Corporation's professional spreadsheet add-ins, DecisionTools® Suite. |
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By Stephen G. Powell
Wiley
Hardcover (511 pages)
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The second edition of Management Science: The Art of Modeling with Spreadsheets by Steve Powell and Ken Baker will expand upon the essential skills needed to develop real expertise in business modeling. By adding more coverage of management science topics, broader coverage of Excel, focused chapters, and new exercises and cases, this edition will be easier to use in a wide variety of undergraduate and MBA courses. |
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By Nagraj Balakrishnan & Ralph M. Stair
Prentice Hall
Hardcover (672 pages)
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Filling a void for a balanced approach to spreadsheet based decision modeling, this volume builds on the traditions and strengths of Render and Stair's Quantitative Methods for Management, a recognized and proven leader in teaching decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors teach how and why the methods work and combine the user's power to logically model and analyze diverse decision-making scenarios with software-based solutions. The book discusses the fundamental concepts, assumptions and limitations behind each decision modeling technique, shows how each decision model works and illustrates the real-world usefulness of each technique with many applications from both profit and nonprofit organizations. The authors provide an introduction to managerial decision modeling, linear programming models, modeling applications and sensitivity analysis, transportation, assignment, and network models, integer, goal, and nonlinear programming models, project management, decision theory, queuing models, simulation modeling, forecasting models and inventory control models. For anyone looking for a balanced approach to spreadsheet based decision modeling. |
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By John A. Lawrence
Wiley
Hardcover (649 pages)
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Emphasizes building the most appropriate model possible from the available data.
* Major focus is on analysis and communication of results to management. Teaches readers how to conduct a management science study, analyze different situations, break down the steps of problem-solving, write a business report, and effectively communicate study results to management.
* A supporting CD-ROM is packaged with every book to include three complete additional chapters, additional cases and problems for every chapter, coverage of key algorithms and derivations, a review of statistics, the complete WINQSB package developed by Yih-Long Chang, and Excel files for every chapter.
* Computer Integrated Approach: Use of Excel, WinQSB, and LINDO for windows integrated throughout text for use in solving models. |
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