Provides the reader with a perspective on the efficient operation of complicated systems. * Spreadsheets are used to employ and teach techniques. * Includes the facets of probability that relate to decision making.
This book fills a void for a balanced approach to spreadsheet-based decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors show 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. The additional material files Chapter 12 Excel files for each chapter Excel modules for Windows Excel modules for Mac 4th edition errata can be found at https://www.degruyter.com/view/product/486941
Written for students with a background in algebra, this text provides a complete and modern treatment of basic management science methodology. The authors survey the variety and power of management science tools, working to alleviate students' apprehension about the subject and to enable students to recognize on-the-job situations in which management science methodology can be successfully employed. Emphasizing modeling skills for students of varying mathematical backgrounds, the authors explain how to use Microsoft Excel spreadsheets to build skills as they work through problems. In general, problems are broken into several parts to make difficult concepts easy for students to learn. This book's modular structure affords instructors maximum flexibility. This text contains a special student version of Palisade Corporation's DecisionTools Suite, containing @Risk, PrecisionTree, BestFit, TopRank and RiskView. This software is expressly provided for student use and requires student authorization to unlock the software for its full one year license. Professional customers may use the software for 30 days at which point they must contact Palisade Corporation for a professional version should they wish to continue using the software.
Render provides a modern, Excel-Based, and thoroughly Canadian introduction to management science concepts and techniques. This second edition has more fully integrated Canadian content than before and continues to be a perfect balance between decision modeling and the use of spreadsheets to set up and solve modeling problems.
This book offers a one-stop resource for performing quantitative risk analyses. The authors provide practical case studies along with detailed instruction and illustration of the features of ModelRisk, the most advanced risk modeling spreadsheet software currently available. The specific examples in the text demonstrate a number of cutting-edge tools and techniques that are very powerful in risk analysis but that are not available in other spreadsheet simulation programs. The book covers modeling complex correlations, aggregating uncertainty and variability, and estimating parameter and model uncertainty. The included CD-ROM provides a 120-day trial of ModelRisk.
Now in its third edition, Management Science helps business professionals gain the essential skills needed to develop real expertise in business modeling. The biggest change in the text is the conversion of software from Crystal Ball to Risk Solver to reflect changes in the field. More coverage of management science topics has been added. Broader coverage of Excel demonstrates how to create models. Additional open-ended case studies that are less structured have also been included along with new exercises. These changes will help business professionals learn how to apply the information in the field.
Known for encouraging step-by-step problem solving and for connecting techniques to real-world scenarios, David Ammons’ Tools for Decision Making covers a wide range of local government practices—from the foundational to the advanced. Brief and readable, each chapter opens with a problem in a hypothetical city and then introduces a tool to address it. Thoroughly updated with new local government examples, the second edition also incorporates chapters devoted to such additional techniques as sampling analysis, sensitivity analysis, financial condition analysis, and forecasting via trend analysis. Numerous tables, figures, exhibits, equations, and worksheets walk readers through the application of tools, and boxed features throughout each chapter present other uses for techniques, helpful online resources, and common errors. A handy guide for students and an invaluable resource and reference for practitioners.