000 04275naaaa2200829uu 4500
001 https://directory.doabooks.org/handle/20.500.12854/80978
005 20220714171707.0
020 _abooks978-3-0365-3813-6
020 _a9783036538143
020 _a9783036538136
024 7 _a10.3390/books978-3-0365-3813-6
_cdoi
041 0 _aEnglish
042 _adc
072 7 _aTB
_2bicssc
072 7 _aTBX
_2bicssc
100 1 _aVillalba-Diez, Javier
_4edt
_91586034
700 1 _aOrdieres Meré, Joaquin
_4edt
_91586035
700 1 _aVillalba-Diez, Javier
_4oth
_91586034
700 1 _aOrdieres Meré, Joaquin
_4oth
_91586035
245 1 0 _aSense and Respond : Industrial Applications of Smart Sensors in Cyber-Physical Systems
260 _aBasel
_bMDPI - Multidisciplinary Digital Publishing Institute
_c2022
300 _a1 electronic resource (168 p.)
506 0 _aOpen Access
_2star
_fUnrestricted online access
520 _aOver the past century, the manufacturing industry has undergone a number of paradigm shifts: from the Ford assembly line (1900s) and its focus on efficiency to the Toyota production system (1960s) and its focus on effectiveness and JIDOKA; from flexible manufacturing (1980s) to reconfigurable manufacturing (1990s) (both following the trend of mass customization); and from agent-based manufacturing (2000s) to cloud manufacturing (2010s) (both deploying the value stream complexity into the material and information flow, respectively). The next natural evolutionary step is to provide value by creating industrial cyber-physical assets with human-like intelligence. This will only be possible by further integrating strategic smart sensor technology into the manufacturing cyber-physical value creating processes in which industrial equipment is monitored and controlled for analyzing compression, temperature, moisture, vibrations, and performance. For instance, in the new wave of the 'Industrial Internet of Things' (IIoT), smart sensors will enable the development of new applications by interconnecting software, machines, and humans throughout the manufacturing process, thus enabling suppliers and manufacturers to rapidly respond to changing standards. This reprint of "Sense and Respond" aims to cover recent developments in the field of industrial applications, especially smart sensor technologies that increase the productivity, quality, reliability, and safety of industrial cyber-physical value-creating processes.
540 _aCreative Commons
_fhttps://creativecommons.org/licenses/by/4.0/
_2cc
_4https://creativecommons.org/licenses/by/4.0/
546 _aEnglish
650 7 _aTechnology: general issues
_2bicssc
_9928609
650 7 _aHistory of engineering & technology
_2bicssc
_91129967
653 _aEEG sensors
653 _amanufacturing systems
653 _aproblem-solving
653 _adeep learning
653 _aTDOA
653 _asensor networks
653 _ahyperboloids
653 _anode distribution
653 _agenetic algorithms
653 _aasynchronous
653 _aCramér-Rao lower bound
653 _aheteroscedasticity
653 _asoft sensors
653 _aindustrial optical quality inspection
653 _aartificial vision
653 _along-term monitoring benefits
653 _aindoor air quality
653 _alow cost
653 _aoccupational safety and health
653 _aindustry 4.0
653 _aIOTA tangle
653 _aIndustry 4.0
653 _aIIoT
653 _ageometric deep learning
653 _alean management
653 _acramer rao lower bound
653 _alocalization
653 _aLPS
653 _amulti-objective optimization
653 _asensor failure
653 _awireless sensor networks
653 _aconceptual framework
653 _asensors
653 _aapproaches
653 _atools
653 _adata
653 _aapplication
653 _aproject engineering
653 _aLCA
653 _aSDG 9
653 _aSDG 11
856 4 0 _awww.oapen.org
_uhttps://mdpi.com/books/pdfview/book/5319
_70
_zDOAB: download the publication
856 4 0 _awww.oapen.org
_uhttps://directory.doabooks.org/handle/20.500.12854/80978
_70
_zDOAB: description of the publication
999 _c2990732
_d2990732