LEADER 04143nam 2200889z- 450 001 9910566485903321 005 20220506 035 $a(CKB)5680000000037520 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/80978 035 $a(oapen)doab80978 035 $a(EXLCZ)995680000000037520 100 $a20202205d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aSense and Respond$eIndustrial Applications of Smart Sensors in Cyber-Physical Systems 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (168 p.) 311 08$a3-0365-3814-3 311 08$a3-0365-3813-5 330 $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. 517 $aSense and Respond 606 $aHistory of engineering & technology$2bicssc 606 $aTechnology: general issues$2bicssc 610 $aapplication 610 $aapproaches 610 $aartificial vision 610 $aasynchronous 610 $aconceptual framework 610 $acramer rao lower bound 610 $aCrame?r-Rao lower bound 610 $adata 610 $adeep learning 610 $aEEG sensors 610 $agenetic algorithms 610 $ageometric deep learning 610 $aheteroscedasticity 610 $ahyperboloids 610 $aIIoT 610 $aindoor air quality 610 $aindustrial optical quality inspection 610 $aindustry 4.0 610 $aIndustry 4.0 610 $aIOTA tangle 610 $aLCA 610 $alean management 610 $alocalization 610 $along-term monitoring benefits 610 $alow cost 610 $aLPS 610 $amanufacturing systems 610 $amulti-objective optimization 610 $anode distribution 610 $aoccupational safety and health 610 $aproblem-solving 610 $aproject engineering 610 $aSDG 11 610 $aSDG 9 610 $asensor failure 610 $asensor networks 610 $asensors 610 $asoft sensors 610 $aTDOA 610 $atools 610 $awireless sensor networks 615 7$aHistory of engineering & technology 615 7$aTechnology: general issues 700 $aVillalba-Diez$b Javier$4edt$01308061 702 $aOrdieres Meré$b Joaquin$4edt 702 $aVillalba-Diez$b Javier$4oth 702 $aOrdieres Meré$b Joaquin$4oth 906 $aBOOK 912 $a9910566485903321 996 $aSense and Respond$93029090 997 $aUNINA