Data Analysis, Optimization, and Simulation Modeling

Data Analysis, Optimization, and Simulation Modeling
Author: S. Christian Albright
Publisher:
Total Pages: 1061
Release: 2011
Genre: Decision making
ISBN: 9780538476768

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DATA ANALYSIS, OPTIMIZATION, AND SIMULATION MODELING, 4e, International Edition is a teach-by-example approach, learner-friendly writing style, and complete Excel integration focusing on data analysis, modeling, and spreadsheet use in statistics and management science. The Premium Online Content Website (accessed by a unique code with every new book) includes links to the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); and SolverTable, allowing users to do sensitivity analysis. All of the add-ins is revised for Excel 2007 and notes about Excel 2010 are added where applicable.

Process Simulation Using WITNESS

Process Simulation Using WITNESS
Author: Raid Al-Aomar
Publisher: John Wiley & Sons
Total Pages: 590
Release: 2015-09-15
Genre: Technology & Engineering
ISBN: 0470371692

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Teaches basic and advanced modeling and simulation techniques to both undergraduate and postgraduate students and serves as a practical guide and manual for professionals learning how to build simulation models using WITNESS, a free-standing software package. This book discusses the theory behind simulation and demonstrates how to build simulation models with WITNESS. The book begins with an explanation of the concepts of simulation modeling and a “guided tour” of the WITNESS modeling environment. Next, the authors cover the basics of building simulation models using WITNESS and modeling of material-handling systems. After taking a brief tour in basic probability and statistics, simulation model input analysis is then examined in detail, including the importance and techniques of fitting closed-form distributions to observed data. Next, the authors present simulation output analysis including determining run controls and statistical analysis of simulation outputs and show how to use these techniques and others to undertake simulation model verification and validation. Effective techniques for managing a simulation project are analyzed, and case studies exemplifying the use of simulation in manufacturing and services are covered. Simulation-based optimization methods and the use of simulation to build and enhance lean systems are then discussed. Finally, the authors examine the interrelationships and synergy between simulation and Six Sigma. Emphasizes real-world applications of simulation modeling in both services and manufacturing sectors Discusses the role of simulation in Six Sigma projects and Lean Systems Contains examples in each chapter on the methods and concepts presented Process Simulation Using WITNESS is a resource for students, researchers, engineers, management consultants, and simulation trainers.

Statistics, Data Analysis, and Decision Modeling

Statistics, Data Analysis, and Decision Modeling
Author: James Robert Evans
Publisher: Prentice Hall
Total Pages: 590
Release: 2007
Genre: Business & Economics
ISBN:

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This book covers basic concepts of business statistics, data analysis, and management science in a spreadsheet environment. Practical applications are emphasized throughout the book for business decision-making; a comprehensive database is developed, with marketing, financial, and production data already formatted on Excel worksheets. This shows how real data is used and decisions are made. Using Excel as the basic software, and including such add-ins as PHStat2, Crystal Ball, and TreePlan, this book covers a wide variety of topics related to business statistics: statistical thinking in business; displaying and summarizing data; random variables; sampling; regression analysis; forecasting; statistical quality control; risk analysis and Monte-Carlo simulation; systems simulation modeling and analysis; selection models and decision analysis; optimization modeling; and solving and analyzing optimization models. For those employed in the fields of quality control, management science, operations management, statistical science, and those who need to interpret data to make informed business decisions.

Excel Data Analysis

Excel Data Analysis
Author: Hector Guerrero
Publisher: Springer
Total Pages: 358
Release: 2018-12-14
Genre: Business & Economics
ISBN: 3030012794

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This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. The book is primarily intended for students in business, economics and government, as well as professionals, who need a more rigorous introduction to business and data analytics – yet also need to learn the topic quickly and without overly academic explanations.

Simulation Modeling and Analysis with Expertfit Software

Simulation Modeling and Analysis with Expertfit Software
Author: Averill Law
Publisher: McGraw-Hill Science/Engineering/Math
Total Pages: 792
Release: 2006-07-21
Genre: Technology & Engineering
ISBN: 9780073294414

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Since the publication of the first edition in 1982, the goal of Simulation Modeling and Analysis has always been to provide a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self study. The book is widely regarded as the “bible” of simulation and now has more than 100,000 copies in print. The book can serve as the primary text for a variety of courses; for example: • A first course in simulation at the junior, senior, or beginning-graduate-student level in engineering, manufacturing, business, or computer science (Chaps. 1 through 4, and parts of Chaps. 5 through 9). At the end of such a course, the students will be prepared to carry out complete and effective simulation studies, and to take advanced simulation courses. • A second course in simulation for graduate students in any of the above disciplines (most of Chaps. 5 through 12). After completing this course, the student should be familiar with the more advanced methodological issues involved in a simulation study, and should be prepared to understand and conduct simulation research. • An introduction to simulation as part of a general course in operations research or management science (part of Chaps. 1, 3, 5, 6, and 9).

Statistics, Data Analysis, and Decision Modeling

Statistics, Data Analysis, and Decision Modeling
Author: James Robert Evans
Publisher:
Total Pages: 508
Release: 2003
Genre: Business & Economics
ISBN:

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This book covers basic concepts of business statistics, data analysis, and management science in a spreadsheet environment. Practical applications are emphasized throughout the book for business decision-making; a comprehensive database is developed, with marketing, financial, and production data already formatted on Excel worksheets. This shows how real data is used and decisions are made. Using Excel as the basic software, and including such add-ins as PHStat2, Crystal Ball, and TreePlan, this book covers a wide variety of topics related to business statistics: statistical thinking in business; displaying and summarizing data; random variables; sampling; regression analysis; forecasting; statistical quality control; risk analysis and Monte-Carlo simulation; systems simulation modeling and analysis; selection models and decision analysis; optimization modeling; and solving and analyzing optimization models. For those employed in the fields of quality control, management science, operations management, statistical science, and those who need to interpret data to make informed business decisions.

Modeling, Simulation, and Optimization

Modeling, Simulation, and Optimization
Author: Pandian Vasant
Publisher: Springer
Total Pages: 133
Release: 2017-12-07
Genre: Technology & Engineering
ISBN: 3319705423

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This book features selected contributions in the areas of modeling, simulation, and optimization. The contributors discusses requirements in problem solving for modeling, simulation, and optimization. Modeling, simulation, and optimization have increased in demand in exponential ways and how potential solutions might be reached. They describe how new technologies in computing and engineering have reduced the dimension of data coverage worldwide, and how recent inventions in information and communication technology (ICT) have inched towards reducing the gaps and coverage of domains globally. The chapters cover how the digging of information in a large data and soft-computing techniques have contributed to a strength in prediction and analysis, for decision making in computer science, technology, management, social computing, green computing, and telecom. The book provides an insightful reference to the researchers in the fields of engineering and computer science. Researchers, academics, and professionals will benefit from this volume. Features selected expanded papers in modeling, simulation, and optimization from COMPSE 2016; Includes research into soft computing and its application in engineering and technology; Presents contributions from global experts in academia and industry in modeling, simulation, and optimization.

Management Science: The Art Of Modeling With Spreadsheets, 2Nd Ed (W/Cd)

Management Science: The Art Of Modeling With Spreadsheets, 2Nd Ed (W/Cd)
Author: Stephen G Powell
Publisher: John Wiley & Sons
Total Pages: 532
Release: 2008-08
Genre:
ISBN: 9788126518241

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Successful business modeling is much more than a technical discipline; it's an art. And as in most professional disciplines, you can tell the experts apart from the novices by the creativity they bring to the craft. Now with Steve Powell and Ken Baker's The Art of Modeling with Spreadsheets, Second Edition, you can master the technical knowledge as well as those essential craft skills needed to develop real expertise in business modeling. · Modeling in a Problem-Solving Framework· Basic Excel Skills· Advanced Excel Skills· Spreadsheet Engineering· Analysis Using Spreadsheets· Data Analysis for Modeling· Regression Analysis· Short-Term Forecasting· Nonlinear Optimization· Linear Programming· Network Models· Integer Programming· Decision Analysis· Monte Carlo Simulation· Optimization in Simulation· Modeling Cases

Simulation Modeling Using @Risk

Simulation Modeling Using @Risk
Author: Wayne L. Winston
Publisher:
Total Pages: 230
Release: 1996
Genre: At Risk (Computer file)
ISBN: 9780534264918

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