TY - BOOK ID - 146294472 TI - Industry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs AU - Rauch, Erwin AU - Woschank, Manuel PY - 2020 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - History of engineering & technology KW - latent semantic analysis KW - virtual quality management KW - concept investigation KW - concept disambiguation KW - knowledge discovery KW - sustainable methodologies KW - small and medium sized enterprises KW - material handling systems KW - simulation KW - ARENA®, time study KW - overall equipment effectiveness KW - manufacturing performance KW - Industry 4.0 KW - manufacturing sustainability KW - manufacturing process model KW - business process management KW - hierarchical clustering KW - similarity KW - BPMN KW - human factors KW - cyber-physical systems KW - cyber-physical production systems KW - anthropocentric design KW - Operator 4.0 KW - human–machine interaction KW - energy efficient operation KW - manufacturing system KW - stochastic event KW - digital twin KW - Max-plus Algebra KW - MATLAB-Simulink KW - advanced manufacturing KW - industry 4.0 KW - SME KW - technology adoption model KW - assembly supply chain KW - sustainability KW - complexity indicators KW - testing criteria KW - SMEs KW - e-business modelling KW - LSP Lifecycle Model KW - Quality Function Deployment KW - Best-Worst Method KW - Internet of Things KW - India KW - awareness KW - small and medium-sized enterprises KW - assessment model KW - collaborative robotics KW - physical ergonomics KW - human-robot collaboration KW - human-centered design KW - assembly KW - small and medium sized enterprise KW - positive complexity KW - negative complexity KW - infeasible configurations KW - product platform KW - customer’s perception KW - assessment KW - field study KW - smart manufacturing KW - cloud platform KW - artificial intelligence KW - machine learning KW - deep learning KW - smart logistics KW - logistics 4.0 KW - smart technologies KW - sustainable agriculture KW - plant factory KW - latent semantic analysis KW - virtual quality management KW - concept investigation KW - concept disambiguation KW - knowledge discovery KW - sustainable methodologies KW - small and medium sized enterprises KW - material handling systems KW - simulation KW - ARENA®, time study KW - overall equipment effectiveness KW - manufacturing performance KW - Industry 4.0 KW - manufacturing sustainability KW - manufacturing process model KW - business process management KW - hierarchical clustering KW - similarity KW - BPMN KW - human factors KW - cyber-physical systems KW - cyber-physical production systems KW - anthropocentric design KW - Operator 4.0 KW - human–machine interaction KW - energy efficient operation KW - manufacturing system KW - stochastic event KW - digital twin KW - Max-plus Algebra KW - MATLAB-Simulink KW - advanced manufacturing KW - industry 4.0 KW - SME KW - technology adoption model KW - assembly supply chain KW - sustainability KW - complexity indicators KW - testing criteria KW - SMEs KW - e-business modelling KW - LSP Lifecycle Model KW - Quality Function Deployment KW - Best-Worst Method KW - Internet of Things KW - India KW - awareness KW - small and medium-sized enterprises KW - assessment model KW - collaborative robotics KW - physical ergonomics KW - human-robot collaboration KW - human-centered design KW - assembly KW - small and medium sized enterprise KW - positive complexity KW - negative complexity KW - infeasible configurations KW - product platform KW - customer’s perception KW - assessment KW - field study KW - smart manufacturing KW - cloud platform KW - artificial intelligence KW - machine learning KW - deep learning KW - smart logistics KW - logistics 4.0 KW - smart technologies KW - sustainable agriculture KW - plant factory UR - https://www.unicat.be/uniCat?func=search&query=sysid:146294472 AB - In 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. ER -