Simulation Modeling and Analysis with ARENA

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 * Ample end-of-chapter problems and full Solutions Manual * Includes CD with sample ARENA modeling programs

Produk Detail:

  • Author : Tayfur Altiok
  • Publisher : Elsevier
  • Pages : 456 pages
  • ISBN : 9780080548951
  • Rating : 4/5 from 2 reviews
CLICK HERE TO GET THIS BOOKSimulation Modeling and Analysis with ARENA

Simulation Modeling and Analysis with ARENA

Simulation Modeling and Analysis with ARENA
  • Author : Tayfur Altiok,Benjamin Melamed
  • Publisher : Elsevier
  • Release : 26 July 2010
GET THIS BOOKSimulation Modeling and Analysis with ARENA

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

Simulation Modeling and Arena

Simulation Modeling and Arena
  • Author : Manuel D. Rossetti
  • Publisher : John Wiley & Sons
  • Release : 26 May 2015
GET THIS BOOKSimulation Modeling and Arena

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.

Simulation with Arena

Simulation with Arena
  • Author : W. David Kelton,Randall P. Sadowski,David T. Sturrock
  • Publisher : Unknown Publisher
  • Release : 20 January 2021
GET THIS BOOKSimulation with Arena

This fourth edition of Simulation with Arena has the same goal as the first three editions: to provide a comprehensive treatment of simulation concepts in general and the Arena simulation software in particular. It starts by having the reader develop simple, well-animated, high-level models, and then progresses to advanced modeling and analysis. Statistical design and analysis of simulation experiments is integrated with the modeling chapters, reflecting the joint nature of these activities in good simulation studies. The objective is to

Simulation Modeling and Analysis of Productivity Enhancement in Manufacturing Company Using Arena Software

Simulation Modeling and Analysis of Productivity Enhancement in Manufacturing Company Using Arena Software
  • Author : Siti Hartini Embong @ Ab Wahab
  • Publisher : Unknown Publisher
  • Release : 20 January 2021
GET THIS BOOKSimulation Modeling and Analysis of Productivity Enhancement in Manufacturing Company Using Arena Software

Every manufacturing company wants to improve and adapt their operating system in order to survive the industry competition. In manufacturing organizations, to improve their system it might mean to reduce the operating costs that come from the wastes in production line. By using the ARENA simulation in this study, the productivity improvement can be experimented without physically affect the real system and reduced the cost because designing, building, testing, redesigning, rebuilding and retesting can be an expensive project. This study

Simulation Modeling Handbook

Simulation Modeling Handbook
  • Author : Christopher A. Chung
  • Publisher : CRC Press
  • Release : 15 July 2003
GET THIS BOOKSimulation Modeling Handbook

The use of simulation modeling and analysis is becoming increasingly more popular as a technique for improving or investigating process performance. This book is a practical, easy-to-follow reference that offers up-to-date information and step-by-step procedures for conducting simulation studies. It provides sample simulation project support materi

Proceedings of the 12th International Symposium Continuous Surface Mining - Aachen 2014

Proceedings of the 12th International Symposium Continuous Surface Mining - Aachen 2014
  • Author : Christian Niemann-Delius
  • Publisher : Springer
  • Release : 20 September 2014
GET THIS BOOKProceedings of the 12th International Symposium Continuous Surface Mining - Aachen 2014

This edited volume contains research results presented at the 12th International Symposium Continuous Surface Mining, ISCSM Aachen 2014. The target audience primarily comprises researchers in the lignite mining industry and practitioners in this field but the book may also be beneficial for graduate students.

Simulation Modeling and Analysis

Simulation Modeling and Analysis
  • Author : Averill M. Law
  • Publisher : Unknown Publisher
  • Release : 20 January 2021
GET THIS BOOKSimulation Modeling and Analysis

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

Simulation of Dynamic Systems with MATLAB® and Simulink®

Simulation of Dynamic Systems with MATLAB® and Simulink®
  • Author : Harold Klee,Randal Allen
  • Publisher : CRC Press
  • Release : 02 February 2018
GET THIS BOOKSimulation of Dynamic Systems with MATLAB® and Simulink®

Continuous-system simulation is an increasingly important tool for optimizing the performance of real-world systems. The book presents an integrated treatment of continuous simulation with all the background and essential prerequisites in one setting. It features updated chapters and two new sections on Black Swan and the Stochastic Information Packet (SIP) and Stochastic Library Units with Relationships Preserved (SLURP) Standard. The new edition includes basic concepts, mathematical tools, and the common principles of various simulation models for different phenomena, as well

Modeling and Simulation of Discrete Event Systems

Modeling and Simulation of Discrete Event Systems
  • Author : Byoung Kyu Choi,DongHun Kang
  • Publisher : John Wiley & Sons
  • Release : 07 August 2013
GET THIS BOOKModeling and Simulation of Discrete Event Systems

Computer modeling and simulation (M&S) allows engineers to study and analyze complex systems. Discrete-event system (DES)-M&S is used in modern management, industrial engineering, computer science, and the military. As computer speeds and memory capacity increase, so DES-M&S tools become more powerful and more widely used in solving real-life problems. Based on over 20 years of evolution within a classroom environment, as well as on decades-long experience in developing simulation-based solutions for high-tech industries, Modeling and Simulation of

Introduction to Discrete Event Simulation and Agent-based Modeling

Introduction to Discrete Event Simulation and Agent-based Modeling
  • Author : Theodore T. Allen
  • Publisher : Springer Science & Business Media
  • Release : 12 January 2011
GET THIS BOOKIntroduction to Discrete Event Simulation and Agent-based Modeling

Discrete event simulation and agent-based modeling are increasingly recognized as critical for diagnosing and solving process issues in complex systems. Introduction to Discrete Event Simulation and Agent-based Modeling covers the techniques needed for success in all phases of simulation projects. These include: • Definition – The reader will learn how to plan a project and communicate using a charter. • Input analysis – The reader will discover how to determine defensible sample sizes for all needed data collections. They will also learn how to

Applied Simulation Modeling

Applied Simulation Modeling
  • Author : Andrew F. Seila,Vlatko Ceric,Pandu R. Tadikamalla
  • Publisher : Duxbury Press
  • Release : 20 January 2021
GET THIS BOOKApplied Simulation Modeling

APPLIED SIMULATION MODELING 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 ARENA and @Risk. 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

Discrete-Event Simulation

Discrete-Event Simulation
  • Author : George S. Fishman
  • Publisher : Springer Science & Business Media
  • Release : 09 March 2013
GET THIS BOOKDiscrete-Event Simulation

"This is an excellent and well-written text on discrete event simulation with a focus on applications in Operations Research. There is substantial attention to programming, output analysis, pseudo-random number generation and modelling and these sections are quite thorough. Methods are provided for generating pseudo-random numbers (including combining such streams) and for generating random numbers from most standard statistical distributions." --ISI Short Book Reviews, 22:2, August 2002