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Manufacturing Systems Modeling and Analysis

  • Book
  • © 2009

Overview

Authors:
  1. Guy L. Curry

    1. Dept. Industrial & Systems Engineering, Texas A & M University, College Station, USA

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    You can also search for this author in PubMed   Google Scholar

  2. Richard M. Feldman

    1. Dept. Industrial & Systems Engineering, Texas A & M University, College Station, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Includes many easy-to-understand numerical examples and homework problems to insure understanding by the student
  • A solutions manual of all problem solutions and computer codes to support the instructors ease of developing problems and their solutions is provided
  • Includes supplementary material: sn.pub/extras

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Table of contents (9 chapters)

  1. Front Matter

    Pages I-XVI
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  2. Basic Probability Review

    • Guy L. Curry, Richard M. Feldman
    Pages 1-43

  3. Introduction to Factory Models

    • Guy L. Curry, Richard M. Feldman
    Pages 45-67

  4. Single Workstation Factory Models

    • Guy L. Curry, Richard M. Feldman
    Pages 69-108

  5. Processing Time Variability

    • Guy L. Curry, Richard M. Feldman
    Pages 109-123

  6. Multiple-Stage Single-Product Factory Models

    • Guy L. Curry, Richard M. Feldman
    Pages 125-157

  7. Multiple Product Factory Models

    • Guy L. Curry, Richard M. Feldman
    Pages 159-196

  8. Models of Various Forms of Batching

    • Guy L. Curry, Richard M. Feldman
    Pages 197-240

  9. WIP Limiting Control Strategies

    • Guy L. Curry, Richard M. Feldman
    Pages 241-280

  10. Serial Limited Buffer Models

    • Guy L. Curry, Richard M. Feldman
    Pages 281-320

  11. Back Matter

    Pages 321-327
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Keywords

About this book

This textbook was developed to ?ll the need for an accessible but comprehensive presentation of the analytical approaches for modeling and analyzing models of manufacturing and production systems. It is an out growth of the efforts within the Industrial and Systems Engineering Department at Texas A&M to develop and teach an analytically based undergraduate course on probabilisticmodeling of m- ufacturingtype systems. The level of this textbook is directed at undergraduate and masters students in engineering and mathematical sciences. The only prerequisite for students using this textbook is a previous course covering calculus-based pr- abilityand statistics. The underlyingmethodology is queueing theory, and we shall develop the basic concepts in queueing theory in suf?cient detail that the reader need not have previously covered it. Queueing theory is a well-established dis- plinedatingback to theearly 1900’sworkof A. K. Erlang, a Danish mathematician, on telephone traf?c congestion. Although there are many textbooks on queueing theory, these texts are generally oriented to the methodological development of the ?eld and exact results and not to the practical application of using approximations in realistic modeling situations. The application of queueing theory to manufact- ing type systems started with the approximation based work of Ward Whitt in the 1980’s. His paper on QNA (a queueing network analyzer) in 1983 is the base from which most applied modeling efforts have evolved. There are several textbooks with titles similar to this book.

Reviews

From the reviews:

“This textbook is intended for undergraduate and master students mainly in engineering and (lesser) in mathematical sciences. The prerequisite for students are elementary calculus based probability and statistics. The book is devoted to modeling of stochastic processes describing a wide class of manufacturing systems, and the basis methodology is well-developed queueing theory.” (Evsei Morozov, Zentralblatt MATH, Vol. 1170, 2009)

Authors and Affiliations

  • Dept. Industrial & Systems Engineering, Texas A & M University, College Station, USA

    Guy L. Curry, Richard M. Feldman

About the authors

Guy L. Curry is a Professor of Industrial and Systems Engineering at Texas A&M University. He received B.S. and M.S. degrees in mathematics from the University of Oklahoma and Wichita State University, respectively, and a Ph.D. in industrial engineering from the University of Arkansas. Prior to joining Texas A&M University, he was an operations research analyst with the Boeing and Sun Oil. He has received several research and teaching awards and co-authored three books. Dr. Curry teaches courses in simulation, optimization, and production /manufacturing systems. His current research interests include modeling and analysis techniques for production and manufacturing systems.

Richard M. Feldman is a Professor of Industrial and Systems Engineering at Texas A&M University. He received a B.A. degree in mathematics from Hope College, an M.S. degree in mathematics from Michigan State University, an M.S. degree in Industrial and System Engineering from Ohio University, and a Ph.D. in Industrial Engineering from Northwestern University. His teaching interests include simulation, applied probability, and queueing theory. His consulting and funded research activities have involved modeling and simulation within manufacturing, transportation, and biological contexts. He has received several teaching awards, published papers in applied probability and queueing theory, and co-authored four books.

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