Applied Simulation Modeling

By Andrew Seila, Vlatko Ceric, and Pandu Tadikamalla

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.

Computer-Based Construction Project Management

By Tarek Hegazy

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.

Data Analysis and Decision Making with Microsoft Excel

By Christian Albright, Wayne Winston, and Christopher Zappe

Master data analysis, modeling, and spreadsheet use. With a teach-by-example approach, student-friendly writing style, and complete Excel integration, this business statistics text provides you with the tools you need to succeed. Margin notes, boxed-in definitions and formulas in the text, enhanced explanations in the text itself, and stated objectives for the examples found throughout the text make studying easy. Problem sets and cases using StatTools provide realistic examples that enable you to see the relevance of the material to your future as a business leader. @RISK, PrecisionTree, and StatTools are all covered.

The 4th edition has been updated for Excel 2007 and 2010.

Data Analysis for Managers with Microsoft Excel

By Christian Albright, Wayne Winston, and Christopher Zappe

This text presents statistical concepts and methods in a unified, modern, spreadsheet-oriented approach. Featuring a wealth of business applications, this examples-based text incorporates StatTools and illustrates a variety of statistical methods to help students analyze data sets and uncover important information to aid decision-making.

Essentials of Modern Business Statistics with Microsoft Excel, 4th Edition

By David R. Anderson; Thomas A. Williams; Dennis J. Sweeney

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 2007, 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.

Essentials of Statistics for Business and Economics,
6th Edition

By Thomas A. Williams

Trust the latest version of this market-leading essentials text to introduce sound statistical methodology in a proven applications setting. The book includes all of the strengths of the best-selling parent text, with a streamlined focus on the core topics and a concise presentation that is easy for students to follow. This reader-friendly introduction to business statistics offers a wealth of real-world examples, proven methods, and application exercises that clearly demonstrate how statistics can inform decisions and suggest solutions to contemporary business problems. The authors' signature problem-scenario approach and numerous exercises in every chapter show students how to apply statistical methods in practical business situations. In addition, the Sixth Edition includes new case problems, methods, applications, and self-test exercises to help students' master key formulas and apply their knowledge. This title is available with DecisionTools Suite and StatTools software for Excel.

Introduction to Financial Models for Management and Planning

by James R. Morris and John P. Daley

This text provides graduate level instruction on the development of models for financial management and planning. By working through the problems and models in this text, readers will learn how computer based models should be structured to analyze a firm’s investment and financing. The authors emphasize modeling problems related to financial management, firm valuation, forecasting, and security pricing. Monte Carlo simulation is emphasized and access to the Monte Carlo simulation software @RISK is included with the text. A solutions manual and PowerPoint® lectures are available for instructors who adopt the text.

Introduction to Probability Models: Operations Research, Volume II

By Wayne Winston

This text, the second volume of Wayne Winston's successful Operations Research: Applications and Algorithms (see below), covers probability models with recent contributions from financial engineering, computational simulation and manufacturing. The specific attention to probability models with the addition of recent practical breakthroughs makes this the first text to introduce these ideas together at an accessible level. Excellent problem sets abound utilizing the DecisionTools Suite. The text provides a balanced approach by developing the underlying theory while illustrating them with interesting examples. All of the necessary mathematical requirements are reviewed in Chapter 1.

Making Hard Decisions: An Introduction to Decision Analysis

By Robert Clemen

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.

Making Hard Decisions with DecisionTools Suite

By Robert Clemen and Terrence Reilly

This is a special version of Robert Clemen's best-selling text, Making Hard Decisions. This straight-forward book teaches the fundamental ideas of decision analysis, without an overly technical explanation of the mathematics used in management science. It fully incorporates and implements the DecisionTools Suite, including @RISK, PrecisionTree, and RISKOptimizer. At the end of each chapter, topics are illustrated with step-by-step instructions for DecisionTools software, thus making the text more useful and relevant to students to business and engineering

Modern Business Statistics with Microsoft Excel

By David R. Anderson, Dennis J. Sweeney, and Thomas A. Williams

Give your students a balanced, conceptual understanding of statistics with a focus on real-world applications and the integrated strengths of Microsoft Excel 2007. The authoritative leader in modern business statistics, this best-selling comprehensive text carefully discusses and clearly develops each statistical technique in an application setting.

A wealth of timely business examples, proven methods, and additional exercises throughout this edition demonstrate how statistical results provide insights into business decisions and present solutions to contemporary business problems. High-quality problems noted for their unwavering accuracy and the authors’ signature problem-scenario approach clearly show how to apply statistical methods in practical business situations. Examples are included using PrecisionTree and StatTools.

Management Science with Spreadsheet Modeling

by Patrick Johanns

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.

Practical Management Science - Spreadsheet Modeling and Applications

By Wayne Winston and Christian Albright

This text takes an active-learning approach, providing numerous examples and problems so students can practice extensively with a concept before moving on. Four types of problems -- skill-building, skill-extending, modeling, and cases are graded within sections and chapters to help instructors assign homework. Another important feature is the way that the text integrates modeling into all functional areas of business: finance, marketing, operations management using real examples and real data. Examples utilize @RISK, PrecisionTree, RISKOptimizer, and more. The text emphasizes modeling over algebraic formulations and memorization of particular models. Shell files are also provided so that instructors can give students as much or as little information as they need.

Principles of Engineering Economic Analysis, 5th Edition

By John A. White, Kenneth E. Case, and David B. Pratt

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.

Operations Research - Applications and Algorithms

By Wayne Winston

The market-leading textbook owes much of its success to its practical orientation and consistent emphasis on model formulation and model building. It moves beyond a mere study of algorithms without sacrificing the rigor that faculty desire. As in every edition, Winston reinforces the book's successful features and coverage with the most recent developments in the field. Winston takes full advantage of @RISK, PrecisionTree, and RISKOptimizer.

Project Management: Tools and Trade-Offs

By Ted Klastorin

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.

Project Economics & Decision Analysis: Two Volume Set

By M. A. Mian

This comprehensive set provides all the necessary concepts of capital investment evaluation, capital budgeting, and decision analysis, particularly in oil and gas. Mian takes the reader step-by-step through the decision-making process, providing comprehensive coverage of all decision analysis tools currently available while outlining how investment decisions are made under different stages of risk. Further, he focuses on practical application, using a straightforward approach with solved “real-life” examples and solutions, end-of-chapter problems, and illustrations throughout the book. Volume 1 includes deterministic models, while Volume 2 deals with probabilistic models and the concepts of decision analysis (incorporating risk and uncertainty as applied to capital investments). Volume 2 also contains Excel spreadsheets (detailed cash flows and calculations) of all the examples in the two volumes and DecisionTools Suite software.

Spreadsheet Modeling for Business Decisions

by John F. Kros

This book focuses on five fundamental topics of business decision modeling, emphasizing the effective communication of results to the appropriate business decision maker. The topics include spreadsheet modeling, data management and modeling, simulation and linear regression modeling, and decision making under uncertainty. The text strives to educate managers in the process of becoming more effective and efficient problem solvers by providing the most important and useful topics within business decision models while at the same time preparing students to apply those topics to real-world problems, to integrate the use of @RISK into their analysis and solutions, and to prepare written and verbal conclusions from that analysis. Examples are included built around @RISK.

Quantitative Decision Making with Spreadsheet Applications

By Lawrence Lapin and William D. Whisler

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.

Spreadsheet Modeling and Applications - Essentials of Practical Management Science

By Christian Albright and Wayne Winston

Knowing spreadsheets can save your job? Absolutely. The authors show you how just a little spreadsheet magic can solve real-life business problems. It's relevant, it's simple and it comes with DecisionTools Suite to make homework a snap.

Simulation Modeling Using @RISK

By Wayne Winston

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.

Statistics for Business and Economics

By David R. Anderson, Dennis J. Sweeney,
and Thomas A. Williams

This market-leading text from well-respected authors Anderson/Sweeney/Williams introduces sound statistical methodology within a strong applications setting. A wealth of real business examples, proven methods, and application exercises clearly demonstrate how statistical results provide insights into business decisions and present solutions to contemporary business problems. Comprehensive coverage, trusted for its accuracy, allows you to select the topics best for your course, including coverage of the latest statistical and business software to manage statistical information. This edition's accessible approach is strengthened with the innovative new CengageNOW integrated online course management and learning system that saves you time while using personalized study plans to ensure student understanding. This title is available with DecisionTools Suite and StatTools software for Excel.

Spreadsheet Modeling and Decision Analysis

By Cliff Ragsdale

Cliff Ragsdale is an innovator of the spreadsheet teaching revolution and is highly regarded in the field of management science. This book 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 Microsoft Excel for Windows. A version of the book is available using @RISK software as well. This text also focuses on developing both algebraic and spreadsheet modeling skills.

Statistical Thinking: Improving Business Performance

By Roger Hoerl and Ronald D. Snee

This innovative book teaches students to understand the strategic value of data and statistics in solving real business problems. Following principles of effective learning identified by educational and behavioral research, the instruction proceeds from tangible examples to abstract theory; from the big picture, or "whole," to details, or "parts"; and from a conceptual understanding to ability to perform specific tasks. Examples are built around @RISK software.

Palisade Published Books and Training CDs

Palisade publishes a number of hands-on, practical guides to using @RISK, the DecisionTools Suite, and StatTools for dozens of real-world business applications. Authored by Wayne Winston and Christian Albright of the Kelley School of Business, University of Indiana, these tools will deliver practical theory and step-by-step examples. Books include spreadsheet example models and can be bundled with student software. Training CDs walk you through examples using a multimedia format.

Decision Making Under Uncertainty
with RISKOptimizer

by Wayne Winston

Decision Making
Under Uncertainty
with RISKOptimizer:
A Training CD

by Wayne Winston

Learning Statistics with StatTools

by S. Christian Albright

Introduction to
Financial Modeling
with @RISK:
A Training CD

by Wayne Winston

Financial Models Using Simulation
and Optimization I

by Wayne Winston

Financial Models
Using Simulation
and Optimization II

by Wayne Winston