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210512 ||| eng |
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|a 9783039365685
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|a 9783039365678
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|a books978-3-03936-568-5
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| 100 |
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|a Rauch, Erwin
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| 245 |
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|a Industry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs
|h Elektronische Ressource
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| 260 |
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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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| 653 |
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|a machine learning
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| 653 |
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|a Industry 4.0
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| 653 |
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|a assessment model
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| 653 |
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|a human-machine interaction
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| 653 |
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|a assessment
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| 653 |
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|a awareness
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| 653 |
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|a e-business modelling
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| 653 |
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|a deep learning
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| 653 |
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|a cyber-physical production systems
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| 653 |
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|a digital twin
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| 653 |
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|a manufacturing process model
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| 653 |
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|a assembly supply chain
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| 653 |
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|a Quality Function Deployment
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| 653 |
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|a hierarchical clustering
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| 653 |
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|a testing criteria
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| 653 |
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|a cloud platform
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| 653 |
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|a Operator 4.0
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| 653 |
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|a manufacturing sustainability
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| 653 |
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|a sustainable agriculture
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| 653 |
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|a ARENA®, time study
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| 653 |
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|a concept investigation
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| 653 |
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|a advanced manufacturing
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| 653 |
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|a concept disambiguation
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| 653 |
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|a human-centered design
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| 653 |
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|a field study
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| 653 |
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|a small and medium sized enterprises
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| 653 |
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|a negative complexity
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| 653 |
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|a smart logistics
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| 653 |
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|a manufacturing system
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| 653 |
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|a India
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| 653 |
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|a overall equipment effectiveness
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| 653 |
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|a latent semantic analysis
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| 653 |
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|a energy efficient operation
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| 653 |
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|a logistics 4.0
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| 653 |
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|a technology adoption model
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| 653 |
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|a similarity
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| 653 |
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|a Best-Worst Method
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| 653 |
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|a industry 4.0
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| 653 |
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|a collaborative robotics
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| 653 |
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|a business process management
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| 653 |
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|a material handling systems
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| 653 |
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|a Max-plus Algebra
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| 653 |
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|a positive complexity
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| 653 |
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|a manufacturing performance
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| 653 |
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|a SME
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| 653 |
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|a cyber-physical systems
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| 653 |
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|a product platform
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| 653 |
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|a sustainable methodologies
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| 653 |
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|a virtual quality management
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| 653 |
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|a assembly
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| 653 |
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|a knowledge discovery
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| 653 |
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|a History of engineering and technology / bicssc
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| 653 |
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|a small and medium-sized enterprises
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| 653 |
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|a LSP Lifecycle Model
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| 653 |
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|a simulation
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| 653 |
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|a small and medium sized enterprise
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| 653 |
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|a BPMN
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| 653 |
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|a Internet of Things
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| 653 |
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|a complexity indicators
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| 653 |
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|a physical ergonomics
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| 653 |
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|a stochastic event
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| 653 |
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|a human factors
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| 653 |
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|a customer's perception
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| 653 |
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|a artificial intelligence
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| 653 |
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|a smart manufacturing
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| 653 |
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|a infeasible configurations
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| 653 |
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|a smart technologies
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| 653 |
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|a sustainability
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| 653 |
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|a MATLAB-Simulink
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| 653 |
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|a anthropocentric design
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| 653 |
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|a plant factory
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| 653 |
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|a human-robot collaboration
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| 653 |
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|a SMEs
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| 700 |
1 |
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|a Woschank, Manuel
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| 700 |
1 |
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|a Rauch, Erwin
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| 700 |
1 |
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|a Woschank, Manuel
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 028 |
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|a 10.3390/books978-3-03936-568-5
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| 856 |
4 |
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|u https://www.mdpi.com/books/pdfview/book/2694
|7 0
|x Verlag
|3 Volltext
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| 856 |
4 |
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|u https://directory.doabooks.org/handle/20.500.12854/68927
|z DOAB: description of the publication
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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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