Third , their use of statistics when modeling uncertainty and interpreting output probability distributions is improved. Fourth, students recognize and use simulation as a decision aid to facilitate managerial decision -making.
Describe the model carefully and justify the duration of the simulation , assumptions , and measures of performance. Discrete - Event System Simulation , 3rd ed. Harrison, E. The managerial decision -making process.
Boston, MA: Houghton Mifflin. Hillier, F. Introduction to management science: A modeling and case studies approach with spreadsheets 3rd ed. Text and Cases with Spreadsheets Darral G. I won't bother you with too many details of the case , just enough to allow you to do your own modeling.
Rational Choice in an Uncertain World, 2nd ed. Los Angeles, CA: Sage, Schrage, M. Serious Play. Sonntag, C. Solutions to example problems are analyzed from a managerial perspective. The five - step decision process is a obtain information , b make predictions , c choose alternative Moore , and L.
International Journal of Computers Information security risk analysis 3rd ed. Management science: The art of modeling with spreadsheets. Balakrishnan offers the perfect balance of the decision modeling process and the use of spreadsheets to set up and solve decision models.
The third edition has been updated to reflect the latest version of Excel. 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. For courses on decision modeling through the use of spreadsheets. The perfect balance between decision modeling and spreadsheet use.
Lawrence Kenneth D. Author : Kenneth D. Presents studies in the application of forecasting methodologies to such areas as sales, marketing, and strategic decision making. This title covers such topics as sales and marketing, forecasting, new product forecasting, judgmentally based forecasting, the application of surveys to forecasting, and forecasting for strategic business decisions.
Korhonen Pekka J. Author : Pekka J. This book offers a comprehensive introduction to decision-making in an MCDM framework. Designed as a tutorial, it presents the main concepts and methods to be applied, together with essential background information. Examining the fundamental thinking underpinning the foundation for economic studies of happiness, this book explores the theories of key economists and philosophers from the Greek philosophers to more modern schools of thought.
Lall Ramrattan and Michael Szenberg explore the general measures of happiness, utility as a method, metrical measures of happiness, happiness in literature and the scope of happiness in this concise book.
Langabeer II James R. Langabeer II. Author : James R. Completely updated and revised with the most current evidence and practice standards, the new edition incorporates expanded content on pharmacology, pathophysiology, and diagnostic tools.
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. Powell, Kenneth R. Now in its fourth edition, Powell and Baker's Management Science provides students and business analysts with ….
Reflects the latest applied research and features state-of-the-art software for building and solving spreadsheet optimization models …. Levine, David F. You can — and you will! Even You Can Learn Statistics …. An accessible introduction to optimization analysis using spreadsheets Updated and revised, Optimization Modeling with Spreadsheets, Third …. Skip to main content. Start your free trial.
Baker , Stephen G. Book description Now in its third edition, Management Science helps business professionals gain the essential skills needed to develop real expertise in business modeling. Show and hide more. Table of contents Product information. Introduction 1. Why Study Modeling? Models in Business 1. Models in Business Education 1.
Benefits of Business Models 1. Risks of Spreadsheet Use 1. Challenges for Spreadsheet Users 1. Background Knowledge for Spreadsheet Modeling 1. Expert Modelers 1. Novice Modelers 1. Modeling in a Problem-Solving Framework 2. Some Key Terms 2. Mental Models and Formal Models 2. A First Example 2. An Income Statement as an Influence Chart 2.
Principles for Building Influence Charts 2. Two Additional Examples 2. Simplify the Problem 2. Break the Problem into Modules 2. Build a Prototype and Refine It 2. Sketch Graphs of Key Relationships 2. Identify Parameters and Perform Sensitivity Analysis 2. Separate the Creation of Ideas from Their Evaluation 2. Work Backward from the Desired Answer 2. Focus on Model Structure, not on Data Collection 2. Basic Excel Skills 3. Advanced Excel Skills 4. R1C1 Reference Style 4.
Mixed Addresses 4. Nesting Calculations 4. Parameterization 4. Advanced Functions 4. Recording a Macro 4. Editing a Macro 4. Creating a User-Defined Function 4. Spreadsheet Engineering 5. Sketch the Spreadsheet 5. Organize the Spreadsheet into Modules 5. Start Small 5. Isolate Input Parameters 5. Design for Use 5. Keep It Simple 5. Design for Communication 5. Document Important Data and Formulas 5. Design Workbooks for Ease of Navigation and Use 5.
Design a Workbook as a Decision-Support System 5. Follow a Plan 5. Build One Worksheet or Module at a Time 5. Predict the Outcome of Each Formula 5. Copy and Paste Formulas Carefully 5. Check That Formulas Are Correct 5. Analysis Using Spreadsheets 6. Benchmarking 6. Scenarios 6. Parametric Sensitivity 6. Tornado Charts 6. Data Analysis for Modeling 7. Searching and Editing 7.
Sorting 7. Filtering 7. Tabulating 7. Interval Estimates for the Mean 7. Interval Estimates for a Proportion 7. Sample-Size Determination 7. Regression Analysis 8. Base-case Analysis 8. Sensitivity Analysis 8. Base-case Summary 8. Trendline 8. Short-Term Forecasting 9. The Moving-Average Model 9. Measures of Forecast Accuracy 9. Nonlinear Optimization
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