Practical Spreadsheet Modeling Using @Risk provides a guide of how to construct applied decision analysis models in spreadsheets. The focus is on the use of Monte Carlo simulation to provide quantitative assessment of uncertainties and key risk drivers. The book presents numerous examples based on real data and relevant practical decisions in a variety of settings, including health care, transportation, finance, natural resources, technology, manufacturing, retail, and sports and entertainment. All examples involve decision problems where uncertainties make simulation modeling useful to obtain decision insights and explore alternative choices. Good spreadsheet modeling practices are highlighted. The book is suitable for graduate students or advanced undergraduates in business, public policy, health care administration, or any field amenable to simulation modeling of decision problems. The book is also useful for applied practitioners seeking to build or enhance their spreadsheet modeling skills. Read more about the book here.
This book provides the student with both a conceptual introduction to the concepts of simulation modeling and practical experience with real examples using popular commercial simulation packages @RISK and Arena. The coverage includes Risk Simulation, Dynamic Systems, and Discrete Event Simulation models. Throughout the text, the authors show readers how they can use simulation in the context of decision making. Practical examples from operations management, manufacturing, health care, and finance are included throughout to give students an appreciation for the wide scope of application and the robust nature of simulation modeling.
For senior-level courses in Construction Project Management, and undergraduate/graduate-level courses in Computer-Aided Construction Management, this text views basic project management concepts from an information technology perspective. It contains comprehensive coverage of quantitative construction management techniques for planning, scheduling, estimating, cost optimization, cash flow analysis, bidding, and project control. Examples include Evolver, which is bundled with the book. All concepts are presented both manually and on computer applications, with a single case study to clearly demonstrate the evolution of concepts in the successive chapters.
Become a master of data analysis, modeling, and spreadsheet use! This quantitative methods text provides users with the tools to succeed with a teach-by-example approach, student-friendly writing style, and complete Excel 2013 integration. It is also compatible with Excel 2010 and 2007. Problem sets and cases provide realistic examples to show the relevance of the material. The Companion Website includes: the Palisade DecisionTools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); SolverTable, which allows you to do sensitivity analysis; data and solutions files, PowerPoint slides, and tutorial videos.
The second edition is thoroughly revised to reflect new data, research, and changes in practice in this fast-moving field. It has an increased focus on venture capital, while maintaining its hallmark coverage of the financial aspects of entrepreneurship. Updates throughout address technological changes that have the potential to dramatically change the landscape for finance, such as recent innovations in contracting for early-stage ventures, artificial intelligence and machine learning, and Internet connectivity. Lastly, the book offers a companion website with a useful suite of resources for students and instructors alike, including spreadsheets, templates, simulation applications, and interactive cases and tutorials.
The book appeals to a wide range of teaching and learning preferences. To help bring the book to life, simulation exercises appear throughout the text that can be used with @RISK. The text also uses PrecisionTree to build decision trees for options evaluation.
From the renowned author team that has been writing market-leading business statistics textbooks for more than 20 years, this book provides a brief introduction to business statistics that balances a conceptual understanding of statistics with the real-world application of statistical methodology. The latest version of Microsoft Excel 2010, is integrated throughout the text, showing step-by-step instructions and screen captures to enhance student learning. The fourth edition contains the same student learning features that have made ASW products best-sellers for years, including the problem-scenario approach and real-world examples that introduce statistical techniques. The latest DecisionTools Suite software is utilized and included with the text as well.
This book outlines, in very practical terms, how to make better-informed and more effective business decisions through the use of mathematical modeling using Excel spreadsheets. The author implements DecisionTools Suite software to account for uncertainty and create more realistic, probabilistic models.
This best-selling and up-to-date survey of decision analysis concepts and techniques is accessible to students with limited mathematical backgrounds. It is designed for advanced undergraduate and MBA-level courses in decision analysis and also for business courses in introductory quantitative methods. It uses components of the DecisionTools, including @RISK, PrecisionTree, and RISKOptimizer.
This book provides a comprehensive, up-to-date coverage of fundamental concepts, models, methods and practices of modern reliability engineering. It is intended for a variety of readers ranging from college students to seasoned engineering professionals involved in design, development, manufacture and maintenance of reliable engineering products and systems.
Give your students a balanced, conceptual understanding of statistics with a focus on real-world applications and the integrated strengths of Microsoft Excel 2010. The authoritative leader in modern business statistics, this best-selling comprehensive text carefully discusses and clearly develops each statistical technique in an application setting.
Principles of Engineering Economic Analysis, 5e provides a unified treatment of economic analysis principles and techniques from a cash flow perspective. This approach has been proven in the classroom and has been very successful in practice. The fifth edition has been updated to include sample FE exam questions as well as shorter examples so that students can clearly understand the concepts. Additionally, the text includes more use of spreadsheet software and more information on personal finance, helping students become even more familiar with the essentials an engineer needs to know when solving problems in the real world.
This book presents the fundamental concepts of project management in a concise fashion with an emphasis on the difficult tradeoffs that must be made by project managers. The authors describe the basic analytical tools and project management methodologies and show how to apply these tools and methodologies to realistic problems. The book offers a unique balance of theory and practice, with emphasis on the uncertain, risky projects that managers have to manage in the real world. It includes @RISK for Project software and example models.
The new fifth edition includes an enhanced online learning package featuring: supplementary software programs, such as Risk Solver Platform, Treeplan, @Risk, and other add-ins for spreadsheets; integrated case studies, decision tree add-in programs, video lectures, interactive quizzes, and much more.
With its understandable explanations of Monte Carlo and step-by-step instructions for Microsoft Excel and @RISK software, this text/software package offers both the instruction and the practice students need to begin solving complex business problems. It is designed for use as the primary learning tool in a short business simulation course (for advanced undergraduate and MBA students), or as a supplement to courses in investments, corporate finance, management science, marketing strategy, operations management, and actuarial science.
The core of the text addresses decisions that involve selecting the best alternative from diverse choices. The decisions include buying a car, picking a supplier or home contractor, selecting a technology, picking a location for a manufacturing plant or sports stadium, hiring an employee or selecting among job offers, deciding on the size of a sales force, making a late design change, and sourcing to emerging markets. The book also covers more complex decisions arising in negotiations, strategy, and ethics that involve multiple dimensions simultaneously. Numerous activities interspersed throughout the text highlight real-world situations, helping readers see how the concepts presented can be used in their own work environment or personal life. Each chapter also includes discussion questions and references. PrecisionTree and DecisionTools Suite software is included for making probabilistic decisions.
Management science books are similar to office management books, training and development books, and operations management books. These resources help readers learn about management tips, management styles, and management by objectives.
Management science books help readers develop problem-solving and critical-thinking skills essential in management. Here is a list of books you should consider reading to develop your management science techniques.
Introduction to Management Science is one of the management science textbooks that offers an all-encompassing initiation into this field. Authored by Bernard W. Taylor III, the book uses a clear and succinct writing approach, catering to beginners. Readers will find insights into linear programming, decision analysis, network models, and simulation. For newcomers grappling with unfamiliar scenarios, the book incorporates a dedicated chapter on navigating decisions amidst uncertainty. Additionally, readers can enjoy end-of-chapter challenges and exercises for self-assessment of each segment. Taylor skilfully constructs an intelligent progression of concepts and techniques, making the book an intelligible and well-structured resource.
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