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For undergraduate courses in facilities planning and material
handling. Based on ten years' teaching experience, this text takes
a practical, teachable approach to facilities planning and design.
A class design project centered on a factory incorporates the
theoretical aspects of facilities planning and design. Motivating
and illustrating mathematical models wherever possible, the text
explores facilities planning, capstone design, and even simulation
modelling.
The book examines the performance and optimization of systems where
queueing and congestion are important constructs. Both finite and
infinite queueing systems are examined. Many examples and case
studies are utilized to indicate the breadth and depth of the
queueing systems and their range of applicability. Blocking of
these processes is very important and the book shows how to deal
with this problem in an effective way and not only compute the
performance measures of throughput, cycle times, and WIP but also
to optimize the resources within these systems. The book is aimed
at advanced undergraduate, graduate, and professionals and
academics interested in network design, queueing performance models
and their optimization. It assumes that the audience is fairly
sophisticated in their mathematical understanding, although the
explanations of the topics within the book are fairly detailed.
The book examines the performance and optimization of systems where
queueing and congestion are important constructs. Both finite and
infinite queueing systems are examined. Many examples and case
studies are utilized to indicate the breadth and depth of the
queueing systems and their range of applicability. Blocking of
these processes is very important and the book shows how to deal
with this problem in an effective way and not only compute the
performance measures of throughput, cycle times, and WIP but also
to optimize the resources within these systems. The book is aimed
at advanced undergraduate, graduate, and professionals and
academics interested in network design, queueing performance models
and their optimization. It assumes that the audience is fairly
sophisticated in their mathematical understanding, although the
explanations of the topics within the book are fairly detailed.
This handbook surveys important stochastic problems and models in
manufacturing system operations and their stochastic analysis.
Using analytical models to design and control manufacturing systems
and their operations entail critical stochastic performance
analysis as well as integrated optimization models of these
systems. Topics deal with the areas of facilities planning,
transportation, and material handling systems, logistics and supply
chain management, and integrated productivity and quality models
covering: * Stochastic modeling and analysis of manufacturing
systems * Design, analysis, and optimization of manufacturing
systems * Facilities planning, transportation, and material
handling systems analysis * Production planning, scheduling
systems, management, and control * Analytical approaches to
logistics and supply chain management * Integrated productivity and
quality models, and their analysis * Literature surveys of issues
relevant in manufacturing systems * Case studies of manufacturing
system operations and analysis Today's manufacturing system
operations are becoming increasingly complex. Advanced knowledge of
best practices for treating these problems is not always well
known. The purpose of the book is to create a foundation for the
development of stochastic models and their analysis in
manufacturing system operations. Given the handbook nature of the
volume, introducing basic principles, concepts, and algorithms for
treating these problems and their solutions is the main intent of
this handbook. Readers unfamiliar with these research areas will be
able to find a research foundation for studying these problems and
systems.
Analysis and Modeling of Manufacturing Systems is a set of papers
on some of the newest research and applications of mathematical and
computational techniques to manufacturing systems and supply
chains. These papers deal with fundamental questions (how to
predict factory performance: how to operate production systems) and
explicitly treat the stochastic nature of failures, operation
times, demand, and other important events. Analysis and Modeling of
Manufacturing Systems will be of interest to readers with a strong
background in operations research, including researchers and
mathematically sophisticated practitioners.
This handbook surveys important stochastic problems and models in
manufacturing system operations and their stochastic analysis.
Using analytical models to design and control manufacturing systems
and their operations entail critical stochastic performance
analysis as well as integrated optimization models of these
systems. Topics deal with the areas of facilities planning,
transportation, and material handling systems, logistics and supply
chain management, and integrated productivity and quality models
covering: * Stochastic modeling and analysis of manufacturing
systems * Design, analysis, and optimization of manufacturing
systems * Facilities planning, transportation, and material
handling systems analysis * Production planning, scheduling
systems, management, and control * Analytical approaches to
logistics and supply chain management * Integrated productivity and
quality models, and their analysis * Literature surveys of issues
relevant in manufacturing systems * Case studies of manufacturing
system operations and analysis Today's manufacturing system
operations are becoming increasingly complex. Advanced knowledge of
best practices for treating these problems is not always well
known. The purpose of the book is to create a foundation for the
development of stochastic models and their analysis in
manufacturing system operations. Given the handbook nature of the
volume, introducing basic principles, concepts, and algorithms for
treating these problems and their solutions is the main intent of
this handbook. Readers unfamiliar with these research areas will be
able to find a research foundation for studying these problems and
systems.
Analysis and Modeling of Manufacturing Systems is a set of
papers on some of the newest research and applications of
mathematical and computational techniques to manufacturing systems
and supply chains. These papers deal with fundamental questions
(how to predict factory performance: how to operate production
systems) and explicitly treat the stochastic nature of failures,
operation times, demand, and other important events.
Analysis and Modeling of Manufacturing Systems will be of
interest to readers with a strong background in operations
research, including researchers and mathematically sophisticated
practitioners.
This textbook provides an introduction to the use and understanding
of optimization and modeling for upper-level undergraduate students
in engineering and mathematics. The formulation of optimization
problems is founded through concepts and techniques from operations
research: Combinatorial Optimization, Linear Programming, and
Integer and Nonlinear Programming (COLIN). Computer Science (CS) is
also relevant and important given the applications of algorithms
and Apps/algorithms (A) in solving optimization problems. Each
chapter provides an overview of the main concepts of optimization
according to COLINA, providing examples through App Inventor and
AMPL software applications. All apps developed through the text are
available for download. Additionally, the text includes links to
the University of Wisconsin NEOS server, designed to handle more
computing-intensive problems in complex optimization. Readers are
encouraged to have some background in calculus, linear algebra, and
related mathematics.
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