The book explores the latest technologies resulting from the integration of sensing components throughout the production supply chain, and the resulting possibilities to improve efficiency, flexibility, and product quality. The authors present cutting edge research into data storage in components, communication devices, data acquisition, as well as new industrial applications. Detailed technical descriptions of the tools are presented in addition to discussions of how these systems have been used, the benefits they provide, and what industry problems they could tackle in the future.
%0 Book
%1 DenkenaMoerke2017
%C London
%D 2017
%E Denkena, Berend
%E Mörke, Tobias
%I Academic Press
%K 02001 103 8book 9relx adaptive ai embedded factory information process product zzz.i40
%R 10.1016/C2016-0-00374-1
%T Cyber-Physical and Gentelligent Systems in Manufacturing and Life Cycle
%X The book explores the latest technologies resulting from the integration of sensing components throughout the production supply chain, and the resulting possibilities to improve efficiency, flexibility, and product quality. The authors present cutting edge research into data storage in components, communication devices, data acquisition, as well as new industrial applications. Detailed technical descriptions of the tools are presented in addition to discussions of how these systems have been used, the benefits they provide, and what industry problems they could tackle in the future.
%@ 978-0-12-811939-6
@book{DenkenaMoerke2017,
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abstract = {The book explores the latest technologies resulting from the integration of sensing components throughout the production supply chain, and the resulting possibilities to improve efficiency, flexibility, and product quality. The authors present cutting edge research into data storage in components, communication devices, data acquisition, as well as new industrial applications. Detailed technical descriptions of the tools are presented in addition to discussions of how these systems have been used, the benefits they provide, and what industry problems they could tackle in the future.},
added-at = {2019-03-10T16:05:11.000+0100},
address = {London},
biburl = {https://www.bibsonomy.org/bibtex/29c3cecb2721dc2eba698d097dbee3110/flint63},
doi = {10.1016/C2016-0-00374-1},
editor = {Denkena, Berend and Mörke, Tobias},
file = {copy:201x/7/DenkenaMoerke2017.pdf:PDF;shop:https\://www.elsevier.com/books/cyber-physical-and-gentelligent-systems-in-manufacturing-and-life-cycle/denkena/978-0-12-811939-6:text/html},
interhash = {debf0c5309d24d1c0cdaca2caa3c5c31},
intrahash = {9c3cecb2721dc2eba698d097dbee3110},
isbn = {978-0-12-811939-6},
keywords = {02001 103 8book 9relx adaptive ai embedded factory information process product zzz.i40},
owner = {flint},
publisher = {Academic Press},
referencetype = {collection},
subtitle = {Genetics and Intelligence -- Keys to Industry 4.0},
timestamp = {2019-03-10T16:05:11.000+0100},
title = {Cyber-Physical and Gentelligent Systems in Manufacturing and Life Cycle},
x.asin = {012811939X},
x.sortdate = {2017-06-01},
year = 2017
}