Simulation Modelling For Business

Author : Andrew Greasley
Publisher : Routledge
ISBN 13 : 1351899988
Total Pages : 135 pages
Book Rating : 4.87/5 ( download)

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Download or read book Simulation Modelling for Business written by Andrew Greasley and published by Routledge. This book was released on 2017-03-02 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation Modelling has been used for many years in the manufacturing sector but has now become a mainstream tool in business situations. This is partly because of the popularity of Business Process Reengineering (BPR) and other process based improvement methods that use simulation to help analyse changes in process design. This text book includes case studies in both manufacturing and service situations to demonstrate the usefulness of the approach. A further reason for the increasing popularity of the technique is the development of business orientated and user-friendly windows-based software. This text provides a guide to the use of ARENA, SIMUL8 and WITNESS simulation software systems which are widely used in industry and available to students. Overall this text provides a practical guide to building and implementing the results from a simulation model. All the steps in a typical simulation study are covered including data collection, input data modelling and experimentation.

Author : Michael Rees
Publisher : John Wiley & Sons
ISBN 13 : 1118904036
Total Pages : 464 pages
Book Rating : 4.39/5 ( download)

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Download or read book Business Risk and Simulation Modelling in Practice written by Michael Rees and published by John Wiley & Sons. This book was released on 2015-08-03 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: The complete guide to the principles and practice of risk quantification for business applications. The assessment and quantification of risk provide an indispensable part of robust decision-making; to be effective, many professionals need a firm grasp of both the fundamental concepts and of the tools of the trade. Business Risk and Simulation Modelling in Practice is a comprehensive, in–depth, and practical guide that aims to help business risk managers, modelling analysts and general management to understand, conduct and use quantitative risk assessment and uncertainty modelling in their own situations. Key content areas include: Detailed descriptions of risk assessment processes, their objectives and uses, possible approaches to risk quantification, and their associated decision-benefits and organisational challenges. Principles and techniques in the design of risk models, including the similarities and differences with traditional financial models, and the enhancements that risk modelling can provide. In depth coverage of the principles and concepts in simulation methods, the statistical measurement of risk, the use and selection of probability distributions, the creation of dependency relationships, the alignment of risk modelling activities with general risk assessment processes, and a range of Excel modelling techniques. The implementation of simulation techniques using both Excel/VBA macros and the @RISK Excel add-in. Each platform may be appropriate depending on the context, whereas the core modelling concepts and risk assessment contexts are largely the same in each case. Some additional features and key benefits of using @RISK are also covered. Business Risk and Simulation Modelling in Practice reflects the author′s many years in training and consultancy in these areas. It provides clear and complete guidance, enhanced with an expert perspective. It uses approximately one hundred practical and real-life models to demonstrate all key concepts and techniques; these are accessible on the companion website.

Author : Jonathan P. Pinder
Publisher : Academic Press
ISBN 13 : 0323991173
Total Pages : 513 pages
Book Rating : 4.79/5 ( download)

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Download or read book Introduction to Business Analytics Using Simulation written by Jonathan P. Pinder and published by Academic Press. This book was released on 2022-02-06 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Business Analytics Using Simulation, Second Edition employs an innovative strategy to teach business analytics. The book uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on uncertainty and variability, this book provides a comprehensive foundation for business analytics. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. Teaches managers how they can use business analytics to formulate and solve business problems to enhance managerial decision-making Explains the processes needed to develop, report and analyze business data Describes how to use and apply business analytics software Offers expanded coverage on the value and application of prescriptive analytics Includes a wealth of illustrative exercises that are newly organized by difficulty level Winner of the 2017 Textbook and Academic Authors Association's (TAA) Most Promising New Textbook Award in the prior edition

Author : Patrick L. Anderson
Publisher : CRC Press
ISBN 13 : 0203494652
Total Pages : 499 pages
Book Rating : 4.53/5 ( download)

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Download or read book Business Economics and Finance with MATLAB, GIS, and Simulation Models written by Patrick L. Anderson and published by CRC Press. This book was released on 2004-07-27 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes recent theoretical advances in Finance and Economics and shows how they can be implemented in the real world. It presents tactics for using mathematical and simulation models to solve complex tasks of forecasting income, valuing businesses, predicting retail sales, and evaluating markets and tax and regulatory problems. Busine

Author : Louis G. Birta
Publisher : Springer Science & Business Media
ISBN 13 : 1846286212
Total Pages : 463 pages
Book Rating : 4.16/5 ( download)

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Download or read book Modelling and Simulation written by Louis G. Birta and published by Springer Science & Business Media. This book was released on 2007-09-07 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a balanced and integrated presentation of modelling and simulation activity for both Discrete Event Dynamic Systems (DEDS) and Continuous Time Dynamic Systems (CYDS). The authors establish a clear distinction between the activity of modelling and that of simulation, maintaining this distinction throughout. The text offers a novel project-oriented approach for developing the modelling and simulation methodology, providing a solid basis for demonstrating the dependency of model structure and granularity on project goals. Comprehensive presentation of the verification and validation activities within the modelling and simulation context is also shown.

Author : Wayne L. Winston
Publisher :
ISBN 13 :
Total Pages : 244 pages
Book Rating : 4.21/5 ( download)

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Download or read book Simulation Modeling Using @Risk written by Wayne L. Winston and published by . This book was released on 1996 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Andrew Greasley
Publisher : Routledge
ISBN 13 : 9780754632146
Total Pages : 226 pages
Book Rating : 4.48/5 ( download)

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Download or read book Simulation Modelling for Business written by Andrew Greasley and published by Routledge. This book was released on 2004 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation Modelling for Business is a comprehensive textbook ideal for use on undergraduate and postgraduate courses.The first section of the book provides a definition of simulation modelling and describes the skills and resources required to undertake a successful simulation study. Types of simulation are assessed and the basic concepts behind the method are outlined. The main part of the book follows the steps involved in conducting a simulation study and provides a practical guide to building a simulation model and to implementing the results.Reference is made throughout to ARENA, SIMUL8 and WITNESS; systems used in industry and widely available to students. Case studies from manufacturing and service industries demonstrate the effectiveness of the approach and chapter questions are provided to assist learning.

Author : Manuel D. Rossetti
Publisher : John Wiley & Sons
ISBN 13 : 111885814X
Total Pages : 746 pages
Book Rating : 4.41/5 ( download)

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Download or read book Simulation Modeling and Arena written by Manuel D. Rossetti and published by John Wiley & Sons. This book was released on 2015-05-26 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizes a hands-on approach to learning statistical analysis and model building through the use of comprehensive examples, problems sets, and software applications With a unique blend of theory and applications, Simulation Modeling and Arena®, Second Edition integrates coverage of statistical analysis and model building to emphasize the importance of both topics in simulation. Featuring introductory coverage on how simulation works and why it matters, the Second Edition expands coverage on static simulation and the applications of spreadsheets to perform simulation. The new edition also introduces the use of the open source statistical package, R, for both performing statistical testing and fitting distributions. In addition, the models are presented in a clear and precise pseudo-code form, which aids in understanding and model communication. Simulation Modeling and Arena, Second Edition also features: Updated coverage of necessary statistical modeling concepts such as confidence interval construction, hypothesis testing, and parameter estimation Additional examples of the simulation clock within discrete event simulation modeling involving the mechanics of time advancement by hand simulation A guide to the Arena Run Controller, which features a debugging scenario New homework problems that cover a wider range of engineering applications in transportation, logistics, healthcare, and computer science A related website with an Instructor’s Solutions Manual, PowerPoint® slides, test bank questions, and data sets for each chapter Simulation Modeling and Arena, Second Edition is an ideal textbook for upper-undergraduate and graduate courses in modeling and simulation within statistics, mathematics, industrial and civil engineering, construction management, business, computer science, and other departments where simulation is practiced. The book is also an excellent reference for professionals interested in mathematical modeling, simulation, and Arena.

Author : Andrew Greasley
Publisher : Taylor & Francis
ISBN 13 : 1000648826
Total Pages : 414 pages
Book Rating : 4.29/5 ( download)

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Download or read book Simulation Modelling written by Andrew Greasley and published by Taylor & Francis. This book was released on 2022-09-21 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: While simulation has a vast area of application, this textbook focuses on the use of simulation to analyse business processes. It provides an up-to-date coverage of all stages of the discrete-event simulation (DES) process, covering important areas such as conceptual modelling, modelling input data, verification and validation and simulation output analysis. The book is comprehensive yet uncomplicated, covering the theoretical aspects of the subject and the practical elements of a typical simulation project, demonstrated by cases, examples and exercises. It also shows how simulation relates to new developments in machine learning, big data analytics and conceptual modelling techniques. Guidance is provided on how to build DES models using the Arena, Simio and Simul8 simulation software, and tutorials for using the software are incorporated throughout. Simulation Modelling offers a uniquely practical and end-to-end overview of the subject, which makes it perfect required or recommended reading for advanced undergraduate and postgraduate students studying business simulation and simulation modelling as part of operations research, business analytics, supply chain management and computer science courses.

Author : Averill Law
Publisher : McGraw-Hill Science/Engineering/Math
ISBN 13 : 9780073294414
Total Pages : 792 pages
Book Rating : 4.11/5 ( download)

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Download or read book Simulation Modeling and Analysis with Expertfit Software written by Averill Law and published by McGraw-Hill Science/Engineering/Math. This book was released on 2006-07-21 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).