Simulation Modeling and Analysis with ARENA

Simulation Modeling and Analysis with ARENA PDF Author: Tayfur Altiok
Publisher: Elsevier
ISBN: 0080548954
Category : Technology & Engineering
Languages : en
Pages : 462

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Book Description
Simulation Modeling and Analysis with Arena is a highly readable textbook which treats the essentials of the Monte Carlo discrete-event simulation methodology, and does so in the context of a popular Arena simulation environment. It treats simulation modeling as an in-vitro laboratory that facilitates the understanding of complex systems and experimentation with what-if scenarios in order to estimate their performance metrics. The book contains chapters on the simulation modeling methodology and the underpinnings of discrete-event systems, as well as the relevant underlying probability, statistics, stochastic processes, input analysis, model validation and output analysis. All simulation-related concepts are illustrated in numerous Arena examples, encompassing production lines, manufacturing and inventory systems, transportation systems, and computer information systems in networked settings. - Introduces the concept of discrete event Monte Carlo simulation, the most commonly used methodology for modeling and analysis of complex systems - Covers essential workings of the popular animated simulation language, ARENA, including set-up, design parameters, input data, and output analysis, along with a wide variety of sample model applications from production lines to transportation systems - Reviews elements of statistics, probability, and stochastic processes relevant to simulation modeling

Simulation Modeling and Analysis with ARENA

Simulation Modeling and Analysis with ARENA PDF Author: Tayfur Altiok
Publisher: Elsevier
ISBN: 0080548954
Category : Technology & Engineering
Languages : en
Pages : 462

Get Book Here

Book Description
Simulation Modeling and Analysis with Arena is a highly readable textbook which treats the essentials of the Monte Carlo discrete-event simulation methodology, and does so in the context of a popular Arena simulation environment. It treats simulation modeling as an in-vitro laboratory that facilitates the understanding of complex systems and experimentation with what-if scenarios in order to estimate their performance metrics. The book contains chapters on the simulation modeling methodology and the underpinnings of discrete-event systems, as well as the relevant underlying probability, statistics, stochastic processes, input analysis, model validation and output analysis. All simulation-related concepts are illustrated in numerous Arena examples, encompassing production lines, manufacturing and inventory systems, transportation systems, and computer information systems in networked settings. - Introduces the concept of discrete event Monte Carlo simulation, the most commonly used methodology for modeling and analysis of complex systems - Covers essential workings of the popular animated simulation language, ARENA, including set-up, design parameters, input data, and output analysis, along with a wide variety of sample model applications from production lines to transportation systems - Reviews elements of statistics, probability, and stochastic processes relevant to simulation modeling

Simulation Modeling and Arena

Simulation Modeling and Arena PDF Author: Manuel D. Rossetti
Publisher: John Wiley & Sons
ISBN: 111885814X
Category : Mathematics
Languages : en
Pages : 746

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Book Description
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.

Industrial Engineering in the Industry 4.0 Era

Industrial Engineering in the Industry 4.0 Era PDF Author: Numan M. Durakbasa
Publisher: Springer Nature
ISBN: 3031539915
Category :
Languages : en
Pages : 847

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Book Description


Simulation Modeling and Analysis with Expertfit Software

Simulation Modeling and Analysis with Expertfit Software PDF Author: Averill Law
Publisher: McGraw-Hill Science/Engineering/Math
ISBN: 9780073294414
Category : Technology & Engineering
Languages : en
Pages : 792

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Book Description
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).

Simulation with Arena

Simulation with Arena PDF Author: W. David Kelton
Publisher: McGraw-Hill Science, Engineering & Mathematics
ISBN: 9780072919813
Category : Computers
Languages : en
Pages : 668

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Book Description
The first edition of this book was the first text to be written on the Arena software, which is a very popular simulation modeling software. What makes this text the authoritative source on Arena is that it was written by the creators of Arena themselves. The new third edition follows in the tradition of the successful first and second editions in its tutorial style (via a sequence of carefully crafted examples) and an accessible writing style. The updates include thorough coverage of the new version of the Arena software (Arena 7.01), enhanced support for Excel and Access, and updated examples to reflect the new version of software. The CD-ROM that accompanies the book contains the Academic version of the Arena software. The software features new capabilities such as model documentation, enhanced plots, file reading and writing, printing and animation symbols.

Computational Methods in Circuits and Systems Applications

Computational Methods in Circuits and Systems Applications PDF Author: Nikos E. Mastorakis
Publisher:
ISBN: 9789608052888
Category : Electronic circuits
Languages : en
Pages : 360

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Book Description


Advances in Manufacturing and Mechanical Engineering

Advances in Manufacturing and Mechanical Engineering PDF Author: Wahyu Kuntjoro
Publisher: Trans Tech Publications Ltd
ISBN: 3038262048
Category : Technology & Engineering
Languages : en
Pages : 1024

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Book Description
Selected, peer reviewed papers from the International Conference on Advances in Mechanical Engineering 2013 (ICAME 2013), August 28-29, 2013, Malacca, Malaysia

Port Planning and Management Simulation

Port Planning and Management Simulation PDF Author: Wenyuan Wang
Publisher: Elsevier
ISBN: 0323902081
Category : Transportation
Languages : en
Pages : 400

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Book Description
Port Planning and Management Simulation examines port planning simulation applications, showing how they supports better port decision-making. Using a clear organizational format based on actual port system structure and operation processes, the book provides practical and theoretical insights on port planning and management. The book describes the water, land, collecting and distributing components of the port system, focusing on management, development, and risk mitigation. It examines the key challenges based on discrete system simulation theory that is less affected by local or national regulations. It compares various simulation scenarios for optimal port operational strategy. It quantifies port emissions, analyzes the impact of different reduction strategies, and presents operational strategies for green port planning developmentmand management. Port Planning and Management Simulation provides guidance for carrying out deep analysis in a complex and dynamic system, providing an integrated solution framework based on simulation techniques for improving efficiency and cost savings of the port system. - Bridges the gaps between theory, practice and policy - Comprehensive, practical and multidisciplinary content - Case Studies

Simulation Modelling for Business

Simulation Modelling for Business PDF Author: Andrew Greasley
Publisher: Routledge
ISBN: 1351899988
Category : Business & Economics
Languages : en
Pages : 135

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Book Description
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.

Discrete-event System Simulation

Discrete-event System Simulation PDF Author: Jerry Banks
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 568

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Book Description
Offers comprehensive coverage of discrete-event simulation, emphasizing and describing the procedures used in operations research - methodology, generation and testing of random numbers, collection and analysis of input data, verification of simulation models and analysis of output data.