Industry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs
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...
Збережено в:
| Формат: | Online |
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| Мова: | Англійська |
| Опубліковано: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Предмети: | |
| Онлайн доступ: | ONIX_20210501_9783039365678_673 |
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| _version_ | 1869522299703525376 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-68927 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-689272024-04-11T15:10:18Z Industry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs Rauch, Erwin Woschank, Manuel latent semantic analysis virtual quality management concept investigation concept disambiguation knowledge discovery sustainable methodologies small and medium sized enterprises material handling systems simulation ARENA®, time study overall equipment effectiveness manufacturing performance Industry 4.0 manufacturing sustainability manufacturing process model business process management hierarchical clustering similarity BPMN human factors cyber-physical systems cyber-physical production systems anthropocentric design Operator 4.0 human–machine interaction energy efficient operation manufacturing system stochastic event digital twin Max-plus Algebra MATLAB-Simulink advanced manufacturing industry 4.0 SME technology adoption model assembly supply chain sustainability complexity indicators testing criteria SMEs e-business modelling LSP Lifecycle Model Quality Function Deployment Best-Worst Method Internet of Things India awareness small and medium-sized enterprises assessment model collaborative robotics physical ergonomics human-robot collaboration human-centered design assembly small and medium sized enterprise positive complexity negative complexity infeasible configurations product platform customer’s perception assessment field study smart manufacturing cloud platform artificial intelligence machine learning deep learning smart logistics logistics 4.0 smart technologies sustainable agriculture plant factory thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 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. 2021-05-01T15:32:56Z 2021-05-01T15:32:56Z 2020 book ONIX_20210501_9783039365678_673 9783039365678 9783039365685 https://directory.doabooks.org/handle/20.500.12854/68927 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/2694 https://mdpi.com/books/pdfview/book/2694 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03936-568-5 10.3390/books978-3-03936-568-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039365678 9783039365685 348 Basel, Switzerland open access |
| spellingShingle | latent semantic analysis virtual quality management concept investigation concept disambiguation knowledge discovery sustainable methodologies small and medium sized enterprises material handling systems simulation ARENA®, time study overall equipment effectiveness manufacturing performance Industry 4.0 manufacturing sustainability manufacturing process model business process management hierarchical clustering similarity BPMN human factors cyber-physical systems cyber-physical production systems anthropocentric design Operator 4.0 human–machine interaction energy efficient operation manufacturing system stochastic event digital twin Max-plus Algebra MATLAB-Simulink advanced manufacturing industry 4.0 SME technology adoption model assembly supply chain sustainability complexity indicators testing criteria SMEs e-business modelling LSP Lifecycle Model Quality Function Deployment Best-Worst Method Internet of Things India awareness small and medium-sized enterprises assessment model collaborative robotics physical ergonomics human-robot collaboration human-centered design assembly small and medium sized enterprise positive complexity negative complexity infeasible configurations product platform customer’s perception assessment field study smart manufacturing cloud platform artificial intelligence machine learning deep learning smart logistics logistics 4.0 smart technologies sustainable agriculture plant factory thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Industry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs |
| title | Industry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs |
| title_full | Industry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs |
| title_fullStr | Industry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs |
| title_full_unstemmed | Industry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs |
| title_short | Industry 4.0 for SMEs - Smart Manufacturing and Logistics for SMEs |
| title_sort | industry 4 0 for smes smart manufacturing and logistics for smes |
| topic | latent semantic analysis virtual quality management concept investigation concept disambiguation knowledge discovery sustainable methodologies small and medium sized enterprises material handling systems simulation ARENA®, time study overall equipment effectiveness manufacturing performance Industry 4.0 manufacturing sustainability manufacturing process model business process management hierarchical clustering similarity BPMN human factors cyber-physical systems cyber-physical production systems anthropocentric design Operator 4.0 human–machine interaction energy efficient operation manufacturing system stochastic event digital twin Max-plus Algebra MATLAB-Simulink advanced manufacturing industry 4.0 SME technology adoption model assembly supply chain sustainability complexity indicators testing criteria SMEs e-business modelling LSP Lifecycle Model Quality Function Deployment Best-Worst Method Internet of Things India awareness small and medium-sized enterprises assessment model collaborative robotics physical ergonomics human-robot collaboration human-centered design assembly small and medium sized enterprise positive complexity negative complexity infeasible configurations product platform customer’s perception assessment field study smart manufacturing cloud platform artificial intelligence machine learning deep learning smart logistics logistics 4.0 smart technologies sustainable agriculture plant factory thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | latent semantic analysis virtual quality management concept investigation concept disambiguation knowledge discovery sustainable methodologies small and medium sized enterprises material handling systems simulation ARENA®, time study overall equipment effectiveness manufacturing performance Industry 4.0 manufacturing sustainability manufacturing process model business process management hierarchical clustering similarity BPMN human factors cyber-physical systems cyber-physical production systems anthropocentric design Operator 4.0 human–machine interaction energy efficient operation manufacturing system stochastic event digital twin Max-plus Algebra MATLAB-Simulink advanced manufacturing industry 4.0 SME technology adoption model assembly supply chain sustainability complexity indicators testing criteria SMEs e-business modelling LSP Lifecycle Model Quality Function Deployment Best-Worst Method Internet of Things India awareness small and medium-sized enterprises assessment model collaborative robotics physical ergonomics human-robot collaboration human-centered design assembly small and medium sized enterprise positive complexity negative complexity infeasible configurations product platform customer’s perception assessment field study smart manufacturing cloud platform artificial intelligence machine learning deep learning smart logistics logistics 4.0 smart technologies sustainable agriculture plant factory thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20210501_9783039365678_673 |