Manufacturing Systems Modeling and Analysis

Manufacturing Systems Modeling and Analysis

Author: Guy L. Curry

Publisher: Springer Science & Business Media

Published: 2010-11-10

Total Pages: 350

ISBN-13: 3642166180

DOWNLOAD EBOOK

This text presents the practical application of queueing theory results for the design and analysis of manufacturing and production systems. This textbook makes accessible to undergraduates and beginning graduates many of the seemingly esoteric results of queueing theory. In an effort to apply queueing theory to practical problems, there has been considerable research over the previous few decades in developing reasonable approximations of queueing results. This text takes full advantage of these results and indicates how to apply queueing approximations for the analysis of manufacturing systems. Support is provided through the web site http://msma.tamu.edu. Students will have access to the answers of odd numbered problems and instructors will be provided with a full solutions manual, Excel files when needed for homework, and computer programs using Mathematica that can be used to solve homework and develop additional problems or term projects. In this second edition a separate appendix dealing with some of the basic event-driven simulation concepts has been added.


Modeling and Analysis of Manufacturing Systems

Modeling and Analysis of Manufacturing Systems

Author: Ronald G. Askin

Publisher: John Wiley & Sons

Published: 1993-01-18

Total Pages: 488

ISBN-13:

DOWNLOAD EBOOK

Manufacturing models - Assembly lines : reliable serial systems - Transfer lines and general serial systems - Shop scheduling with many products - Flexible manufacturing systems - Machine setup and operation sequencing - Material handling systems - Warehousing : storage and retrieval systems - General manufacturing systems : analytical queueing models - General manufacturing systems : empirical simulation models.


Performance Analysis of Manufacturing Systems

Performance Analysis of Manufacturing Systems

Author: Tayfur Altiok

Publisher: Springer Science & Business Media

Published: 1997

Total Pages: 372

ISBN-13: 0387947736

DOWNLOAD EBOOK

The past two decades have seen a great deal of research into the stochastic modelling of production, manufacturing, and inventory systems for the purpose of improving their performance. This book provides a graduate-level introduction to these techniques covering exact, approximate, and numerical techniques. The author has aimed to strike a balance between theoretical issues and the practical aspects of modelling manufacturing systems. It is based on graduate courses given to operations research and industrial engineering students and includes numerous examples and exercises.


Applications of Petri Nets in Manufacturing Systems

Applications of Petri Nets in Manufacturing Systems

Author: Alan A. Desrochers

Publisher: Institute of Electrical & Electronics Engineers(IEEE)

Published: 1995

Total Pages: 376

ISBN-13:

DOWNLOAD EBOOK

Modeling and control issues in automated manufacturing systems. Introduction to Markov processes and queueing theory. Petri net theory in manufacturing. Formal definitions, classification, and properties of ordinary petri nets. Analysis of petri nets. Timed, stochastic, and generalized stochastic petri nets. Performance analysis of automated manufacturing systems using petri nets. Petri net modeling and real-time controllers.


Modeling, Simulation, and Control of Flexible Manufacturing Systems

Modeling, Simulation, and Control of Flexible Manufacturing Systems

Author: MengChu Zhou

Publisher: World Scientific

Published: 1999

Total Pages: 432

ISBN-13: 9789810230296

DOWNLOAD EBOOK

One critical barrier leading to successful implementation of flexible manufacturing and related automated systems is the ever-increasing complexity of their modeling, analysis, simulation, and control. Research and development over the last three decades has provided new theory and graphical tools based on Petri nets and related concepts for the design of such systems. The purpose of this book is to introduce a set of Petri-net-based tools and methods to address a variety of problems associated with the design and implementation of flexible manufacturing systems (FMSs), with several implementation examples.There are three ways this book will directly benefit readers. First, the book will allow engineers and managers who are responsible for the design and implementation of modern manufacturing systems to evaluate Petri nets for applications in their work. Second, it will provide sufficient breadth and depth to allow development of Petri-net-based industrial applications. Third, it will allow the basic Petri net material to be taught to industrial practitioners, students, and academic researchers much more efficiently. This will foster further research and applications of Petri nets in aiding the successful implementation of advanced manufacturing systems.


Stream of Variation Modeling and Analysis for Multistage Manufacturing Processes

Stream of Variation Modeling and Analysis for Multistage Manufacturing Processes

Author: Jianjun Shi

Publisher: CRC Press

Published: 2006-12-04

Total Pages: 492

ISBN-13: 1420003909

DOWNLOAD EBOOK

Variability arises in multistage manufacturing processes (MMPs) from a variety of sources. Variation reduction demands data fusion from product/process design, manufacturing process data, and quality measurement. Statistical process control (SPC), with a focus on quality data alone, only tells half of the story and is a passive method, taking corre


Flexible Manufacturing Systems in Practice

Flexible Manufacturing Systems in Practice

Author: Joseph Talavage

Publisher: CRC Press

Published: 2020-09-10

Total Pages: 377

ISBN-13: 1000103528

DOWNLOAD EBOOK

This book has been written for all those interested in flexible manufacturing systems (FMS) and other forms of computerized manufacturing systems (CMS). It deals with many aspects of the design, operation, and simulation of FMS and explains the origins of FMS.


Stochastic Models of Manufacturing Systems

Stochastic Models of Manufacturing Systems

Author: John A. Buzacott

Publisher: Englewood Cliffs, N.J. : Prentice Hall

Published: 1993

Total Pages: 586

ISBN-13:

DOWNLOAD EBOOK

Outlining the major issues that have to be addressed in the design and operation of each type of system, this new text explores the stochastic models of a wide range of manufacturing systems. It covers flow lines, job shops, transfer lines, flexible manufacturing systems, flexible assembly systems, cellular systems, and more. For professionals working in the area of manufacturing system modelling.


Simulation Modeling and Analysis with Expertfit Software

Simulation Modeling and Analysis with Expertfit Software

Author: Averill Law

Publisher: McGraw-Hill Science/Engineering/Math

Published: 2006-07-21

Total Pages: 792

ISBN-13: 9780073294414

DOWNLOAD EBOOK

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).