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210512 ||| eng |
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|a 9783039365678
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|a books978-3-03936-568-5
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|a 9783039365685
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1 |
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|a Rauch, Erwin
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|a Industry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs
|h Elektronische Ressource
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|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2020
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300 |
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|a 1 electronic resource (348 p.)
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|a manufacturing performance
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|a machine learning
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|a SME
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|a cyber-physical systems
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|a product platform
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|a Industry 4.0
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|a sustainable methodologies
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|a assessment model
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|a assessment
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|a virtual quality management
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653 |
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|a customer’s perception
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653 |
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|a awareness
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|a e-business modelling
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653 |
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|a deep learning
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|a assembly
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|a cyber-physical production systems
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|a digital twin
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|a manufacturing process model
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|a assembly supply chain
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|a knowledge discovery
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|a small and medium-sized enterprises
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|a Quality Function Deployment
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|a LSP Lifecycle Model
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|a History of engineering & technology / bicssc
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|a hierarchical clustering
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|a simulation
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|a testing criteria
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|a cloud platform
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|a Operator 4.0
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|a small and medium sized enterprise
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|a BPMN
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|a manufacturing sustainability
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|a sustainable agriculture
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|a Internet of Things
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|a ARENA®, time study
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|a concept investigation
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|a complexity indicators
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|a advanced manufacturing
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|a physical ergonomics
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|a stochastic event
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|a human-centered design
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|a concept disambiguation
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|a field study
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|a human–machine interaction
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|a small and medium sized enterprises
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|a human factors
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|a negative complexity
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|a smart logistics
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|a manufacturing system
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|a India
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|a latent semantic analysis
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|a overall equipment effectiveness
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|a energy efficient operation
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|a logistics 4.0
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|a artificial intelligence
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|a smart manufacturing
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|a technology adoption model
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|a infeasible configurations
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|a smart technologies
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|a sustainability
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|a similarity
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|a MATLAB-Simulink
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|a anthropocentric design
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|a Best-Worst Method
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|a collaborative robotics
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|a industry 4.0
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|a material handling systems
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|a business process management
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|a plant factory
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|a human-robot collaboration
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|a SMEs
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|a positive complexity
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|a Max-plus Algebra
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700 |
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|a Woschank, Manuel
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|a Rauch, Erwin
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|a Woschank, Manuel
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|a eng
|2 ISO 639-2
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|b DOAB
|a Directory of Open Access Books
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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8 |
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|a 10.3390/books978-3-03936-568-5
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856 |
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|u https://directory.doabooks.org/handle/20.500.12854/68927
|3 Volltext
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|a 630
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|a 658
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|a 620
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|a 330
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|a 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.
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