LEADER 05054nam 2201225z- 450 001 9910557625503321 005 20210501 035 $a(CKB)5400000000045160 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68927 035 $a(oapen)doab68927 035 $a(EXLCZ)995400000000045160 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aIndustry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 online resource (348 p.) 311 08$a3-03936-567-3 311 08$a3-03936-568-1 330 $aIn recent years, the industrial environment has been changing radically due to the introduction of concepts and technologies based on the fourth industrial revolution, also known as Industry 4.0. After the introduction of Industry 4.0 in large enterprises, SMEs have moved into the focus, as they are the backbone of many economies. Small organizations are increasingly proactive in improving their operational processes, which is a good starting point for introducing the new concepts of Industry 4.0. The readiness of SME-adapted Industry 4.0 concepts and the organizational capability of SMEs to meet this challenge exist only in some areas. This reveals the need for further research and action plans for preparing SMEs in a technical and organizational direction. Therefore, special research and investigations are needed for the implementation of Industry 4.0 technologies and concepts in SMEs. SMEs will only achieve Industry 4.0 by following SME-customized implementation strategies and approaches and realizing SME-adapted concepts and technological solutions. Thus, this Special Issue represents a collection of theoretical models as well as practical case studies related to the introduction of Industry 4.0 concepts in small- and medium-sized enterprises. 606 $aHistory of engineering and technology$2bicssc 610 $aadvanced manufacturing 610 $aanthropocentric design 610 $aARENAź, time study 610 $aartificial intelligence 610 $aassembly 610 $aassembly supply chain 610 $aassessment 610 $aassessment model 610 $aawareness 610 $aBest-Worst Method 610 $aBPMN 610 $abusiness process management 610 $acloud platform 610 $acollaborative robotics 610 $acomplexity indicators 610 $aconcept disambiguation 610 $aconcept investigation 610 $acustomer's perception 610 $acyber-physical production systems 610 $acyber-physical systems 610 $adeep learning 610 $adigital twin 610 $ae-business modelling 610 $aenergy efficient operation 610 $afield study 610 $ahierarchical clustering 610 $ahuman factors 610 $ahuman-centered design 610 $ahuman-machine interaction 610 $ahuman-robot collaboration 610 $aIndia 610 $aindustry 4.0 610 $aIndustry 4.0 610 $ainfeasible configurations 610 $aInternet of Things 610 $aknowledge discovery 610 $alatent semantic analysis 610 $alogistics 4.0 610 $aLSP Lifecycle Model 610 $amachine learning 610 $amanufacturing performance 610 $amanufacturing process model 610 $amanufacturing sustainability 610 $amanufacturing system 610 $amaterial handling systems 610 $aMATLAB-Simulink 610 $aMax-plus Algebra 610 $anegative complexity 610 $aOperator 4.0 610 $aoverall equipment effectiveness 610 $aphysical ergonomics 610 $aplant factory 610 $apositive complexity 610 $aproduct platform 610 $aQuality Function Deployment 610 $asimilarity 610 $asimulation 610 $asmall and medium sized enterprise 610 $asmall and medium sized enterprises 610 $asmall and medium-sized enterprises 610 $asmart logistics 610 $asmart manufacturing 610 $asmart technologies 610 $aSME 610 $aSMEs 610 $astochastic event 610 $asustainability 610 $asustainable agriculture 610 $asustainable methodologies 610 $atechnology adoption model 610 $atesting criteria 610 $avirtual quality management 615 7$aHistory of engineering and technology 700 $aRauch$b Erwin$4edt$01235471 702 $aWoschank$b Manuel$4edt 702 $aRauch$b Erwin$4oth 702 $aWoschank$b Manuel$4oth 906 $aBOOK 912 $a9910557625503321 996 $aIndustry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs$93012220 997 $aUNINA