Cloud-Based Cyber-Physical Systems in Manufacturing (Hardcover, 1st ed. 2018)

This book presents state-of-the-art research, challenges and solutions in the area of cloud-based cyber-physical systems (CPS) used in manufacturing. It provides a comprehensive review of the literature and an in-depth treatment of novel methodologies, algorithms and systems in the area of architecture design, cyber security, process planning, monitoring and control. The book features detailed descriptions of how to derive solutions in a cloud environment where physical machines can be supported by cyber decision systems when engaged in real operations. It presents a range of novel ideas and is characterized by a balanced approach in terms of scope vs. depth and theory vs. applications. It also takes into account the need to present intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students. Dedicated to the topic of cloud-based CPS and its practical applications in manufacturing, this book benefits readers from all manufacturing sectors, from system design to lifecycle engineering and from process planning to machine control. It also helps readers to understand the present challenges and future research directions towards factories of the future, helping them to position themselves strategically for career development.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	November 2017
First published:	2018
Authors:	Lihui Wang • Xi Vincent Wang
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	404
Edition:	1st ed. 2018
ISBN-13:	978-3-319-67692-0
Categories:	Books > Business & Economics > Economics > General Books > Professional & Technical > Industrial chemistry & manufacturing technologies > General Books > Computing & IT > Computer communications & networking > General Books > Business & Economics > Business & management > Ownership & organization of enterprises > General Promotions
LSN:	3-319-67692-X
Barcode:	9783319676920

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