2022
DOI: 10.2478/mspe-2022-0023
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Efficient Practices of Cognitive Technology Application for Smart Manufacturing

Abstract: Cognitive manufacturing (CM) provides for the merging of sensor-based information, advanced analytics, and cognitive technologies, mainly machine learning in the context of Industry 4.0. Manufacturers apply cognitive technologies to review current business metrics, solve essential business problems, generate new value in their manufacturing data and improve quality. The article investigates four powerful applications for cognitive manufacturing and their influence on a company`s maintenance. The study aims to … Show more

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Cited by 7 publications
(6 citation statements)
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“…Moreover, Sira [32] focuses on Cognitive Manufacturing (CM) applications in the context of IR 4.0 and their impact on maintenance in manufacturing organisations. The study discusses the integration of sensor‐based information, sophisticated analytics and cognitive technologies, especially machine learning, to enhance business metrics, solve problems and produce value from manufacturing data.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Moreover, Sira [32] focuses on Cognitive Manufacturing (CM) applications in the context of IR 4.0 and their impact on maintenance in manufacturing organisations. The study discusses the integration of sensor‐based information, sophisticated analytics and cognitive technologies, especially machine learning, to enhance business metrics, solve problems and produce value from manufacturing data.…”
Section: Related Workmentioning
confidence: 99%
“…Moreover, Majstorovic et al [31] focused on IIoT and IoT for SMEs, but they did not differentiate between manufacturing and production. Lastly, Sira [32] covered IIoT for the manufacturing SMEs but did not include production SMEs. Therefore, this research study addresses IIoT for both manufacturing and production SMEs.…”
Section: The Era Of the Digital Industrial Revolutionmentioning
confidence: 99%
“…(Zheng et al, 2021) Self-configuration, Self-optimization, Self-adaptive (Chung et al, 2019) "Analyze a variety of data associated with a traceability system, post-by-post scalability infrastructure, and workers' work system through the information exchange of the data collected in real time, and to establish an improved system through data mining." "These cognitive processes consist of the perception of the environment, its interpretation, the crosslink with existing knowledge and the subsequent decision with a coupled action" (Sira, 2022) "Extracts applicable information together automatically and employs analytics to get an understanding of the manufacturing process. It robotizes reactions towards its findings and offers practical information being able to steadily deliver updated knowledge to decision-makers" (Seyram et al, 2022) "Using machines to utilize technologies that mimic human cognitive abilities to solve complex problems in manufacturing.…”
Section: Referencementioning
confidence: 99%
“…Digitalization contributes to environmental sustainability [32], resource protection [33], and energy efficiency, and can reduce negative environmental impacts [31]. Digital technologies can increase enterprise knowledge management, increase productivity, and reduce costs [89]. The digitization of work and HR processes can improve organizational sustainability [90].…”
Section: Theory and Research On Digital Transformationmentioning
confidence: 99%