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Presenting the concept and design and implementation of
configurable intelligent optimization algorithms in manufacturing
systems, this book provides a new configuration method to optimize
manufacturing processes. It provides a comprehensive elaboration of
basic intelligent optimization algorithms, and demonstrates how
their improvement, hybridization and parallelization can be applied
to manufacturing. Furthermore, various applications of these
intelligent optimization algorithms are exemplified in detail,
chapter by chapter. The intelligent optimization algorithm is not
just a single algorithm; instead it is a general advanced
optimization mechanism which is highly scalable with robustness and
randomness. Therefore, this book demonstrates the flexibility of
these algorithms, as well as their robustness and reusability in
order to solve mass complicated problems in manufacturing. Since
the genetic algorithm was presented decades ago, a large number of
intelligent optimization algorithms and their improvements have
been developed. However, little work has been done to extend their
applications and verify their competence in solving complicated
problems in manufacturing. This book will provide an invaluable
resource to students, researchers, consultants and industry
professionals interested in engineering optimization. It will also
be particularly useful to three groups of readers: algorithm
beginners, optimization engineers and senior algorithm designers.
It offers a detailed description of intelligent optimization
algorithms to algorithm beginners; recommends new configurable
design methods for optimization engineers, and provides future
trends and challenges of the new configuration mechanism to senior
algorithm designers.
Presenting the concept and design and implementation of
configurable intelligent optimization algorithms in manufacturing
systems, this book provides a new configuration method to optimize
manufacturing processes. It provides a comprehensive elaboration of
basic intelligent optimization algorithms, and demonstrates how
their improvement, hybridization and parallelization can be applied
to manufacturing. Furthermore, various applications of these
intelligent optimization algorithms are exemplified in detail,
chapter by chapter. The intelligent optimization algorithm is not
just a single algorithm; instead it is a general advanced
optimization mechanism which is highly scalable with robustness and
randomness. Therefore, this book demonstrates the flexibility of
these algorithms, as well as their robustness and reusability in
order to solve mass complicated problems in manufacturing. Since
the genetic algorithm was presented decades ago, a large number of
intelligent optimization algorithms and their improvements have
been developed. However, little work has been done to extend their
applications and verify their competence in solving complicated
problems in manufacturing. This book will provide an invaluable
resource to students, researchers, consultants and industry
professionals interested in engineering optimization. It will also
be particularly useful to three groups of readers: algorithm
beginners, optimization engineers and senior algorithm designers.
It offers a detailed description of intelligent optimization
algorithms to algorithm beginners; recommends new configurable
design methods for optimization engineers, and provides future
trends and challenges of the new configuration mechanism to senior
algorithm designers.
Digital Twin Driven Smart Service draws on the latest industry
practice and research to explain how to implement digital twin
service in a range of scenarios. It addresses relevant theory and
methodologies, including product service, prognostic health
management service, energy efficient service and testing service.
Other sections discuss key enabling technologies supported by
cutting-edge case studies of implementation. Drawing on the work of
researchers at the forefront of this technology, this book is the
ideal guide for anyone interested in product services,
manufacturing services and digital twin services. This book is one
part of a trilogy on digital twins, the other titles being Digital
Twin Driven Smart Design and Digital Twin Driven Smart
Manufacturing.
Digital Twin Driven Smart Manufacturing examines the background,
latest research, and application models for digital twin
technology, and shows how it can be central to a smart
manufacturing process. The interest in digital twin in
manufacturing is driven by a need for excellent product
reliability, and an overall trend towards intelligent, and
connected manufacturing systems. This book provides an ideal entry
point to this subject for readers in industry and academia, as it
answers the questions: (a) What is a digital twin? (b) How to
construct a digital twin? (c) How to use a digital twin to improve
manufacturing efficiency? (d) What are the essential activities in
the implementation of a digital twin? (e) What are the most
important obstacles to overcome for the successful deployment of a
digital twin? (f) What are the relations between digital twin and
New Technologies? (g) How to combine digital twin with the New
Technologies to achieve high efficiency and smartness in
manufacturing? This book focuses on these problems as it aims to
help readers make the best use of digital twin technology towards
smart manufacturing.
Optimization of Manufacturing Systems Using the Internet of Things
extends the IoT (Internet of Things) into the manufacturing field
to develop an IoMT (Internet of Manufacturing Things) architecture
with real-time traceability, visibility, and interoperability in
production planning, execution, and control. This book is essential
reading for anyone interested in the optimization and control of an
intelligent manufacturing system. As modern manufacturing
shop-floors can create bottlenecks in the capturing and collection
of real-time field information, and because paper-based manual
systems are time-consuming and prone to errors, this book helps
readers understand how to alleviate these issues, assisting them in
their decision-making on shop-floors.
Digital Twin Driven Smart Design draws on the latest industry
practice and research to establish a basis for the implementation
of digital twin technology in product design. Coverage of relevant
design theory and methodology is followed by detailed discussions
of key enabling technologies that are supported by cutting-edge
case studies of implementation. This groundbreaking book explores
how digital twin technology can bring improvements to different
kinds of product design process, including functional, lean and
green. Drawing on the work of researchers at the forefront of this
technology, this book is the ideal guide for anyone interested in
digital manufacturing or computer-aided design.
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