Industrial cases in simulation modeling
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Industrial cases in simulation modeling

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Published by Duxbury in Belmont, Calif .
Written in English


  • Production management -- Computer simulation -- Case studies.

Book details:

Edition Notes

StatementJames A. Chisman.
LC ClassificationsTS155 .C4324 1996
The Physical Object
Paginationvi, 42 p. :
Number of Pages42
ID Numbers
Open LibraryOL790947M
ISBN 100534237185
LC Control Number95023438

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Introduction This book describes the latest research developments in modeling and simulation in industrial engineering. Topics such as decision and performance analysis and industrial control systems are described. Case studies in industry and services as well as engineering economy and cost estimation are also covered. 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 /5(3).   Illustrated throughout with a series of case studies; Modelling and Simulation: The Computer Science of Illusion will appeal to academics, postgraduate students, researchers and practitioners in the modelling and simulation of industrial computer systems. It will also be of interest to those using simulation as an auxiliary tool. And this is the only book that comprehensively presents all three methods, or paradigms, in simulation modeling: Agent Based, System Dynamics, and Discrete Event. The book is based on the modeling languages supported by AnyLogic, the software that enables a modeler to utilize all three methods and to combine them in a single s:

Chemical Engineering Process Simulation is ideal for students, early career researchers, and practitioners, as it guides you through chemical processes and unit operations using the main simulation softwares that are used in the industrial sector. This book will help you predict the characteristics of a process using mathematical models and computer-aided process simulation tools, as well as model . " Chapter 1 Basic Simulation Modeling 1 jl.l The Nature of Simulation 1:; Systems, rvIodels, and Simulation 3./ Discrete-Event Simulation ', 7 Time-Advance Mechanisms S Components and 'Organization of a Discrete-Event Simulation Model 10 J Simulation of a Single-Server Queueing System Line Object 91 Workers 94 PART B: ADVANCED SIMULATION MODELLING 97 7 BUILDING A MODEL: CAR MANUFACTURER 98 Setup of the Car Manufacturer 98 Frames as Building Blocks 99 Source and Drain Processing Stations Production Plan Debugging Machine Failures State dependent Icons Assignment B1: Object-Oriented . The steps involved in developing a simulation model, designing a simulation experiment, and performing simulation analysis are: Step 1. Identify the problem. Step 2. Formulate the problem. Step 3. Collect and process real system data. Step 4. Formulate and develop a model. Step 5. Validate the model. Step 6. Document model for future use. Step 7.

Benefits of process simulation Using simulation-based methods to improve manufacturing has significant benefits. The benefits are achieved in terms of cost savings and intangible assets such as a deeper understanding of the process. The payback time of a typical improvement project is shorter than two years - in some cases only a few months.   PDF to Text Batch Convert Multiple Files Software - Please purchase personal license. Management and Control of Production Logistics University of Coimbra, Portugal September , Case Study on Simulation Analysis of a Multiple Product Manufacturing System Juraj Svancara, Zdenka Králová Institute of Control and Industrial Informatics Faculty of Electrical Engineering and. This book is based on a course given to first year students doing Calculus in the University ofWestern Australia’s Department ofMathematics and Statistics. The unit was for students mainly from the Life Sciences, with some Economists, Social Scientists, Computer Science students and others. and books on simulation, operation s research, statistics, and manufact uring includi ng the book Simulation Model- ing and Analysi s that is used by m ore t00 0 people.