A Platform for IEEE 1451 Standard’s Education, Development and Validation for Industry 4.0

Author(s):  
Joao. L. D. Pereira ◽  
Helbert da Rocha ◽  
Antonio Espirito Santo
2020 ◽  
Vol 12 (9) ◽  
pp. 3815 ◽  
Author(s):  
Irena Pawłyszyn ◽  
Marek Fertsch ◽  
Agnieszka Stachowiak ◽  
Grzegorz Pawłowski ◽  
Joanna Oleśków-Szłapka

Industry 4.0 is perceived as the innovative approach to manufacturing management, thanks to which enterprises gain efficiency and improve competitiveness. The research on Industry 4.0 carried and published refer to the scope of solutions recognized as Industry 4.0 and the level of recognition and implementation of solutions within Industry 4.0. The conclusion from the latter is that enterprises, though striving for innovation and improvement, have no knowledge on solutions available. Hence, the research goal of the paper was to identify the level of knowledge on Industry 4.0 among enterprises and analyze the mechanism of knowledge diffusion. The subjects of research were enterprises in Marshallian clusters, as they are linked, which may contribute to knowledge diffusion and Industry 4.0 solutions dissemination. Research methodology implemented included three stages, namely knowledge level recognition, Industry 4.0 knowledge diffusion model development, and validation of the model with case-based simulation. The conclusions, based on simulation results, refer to mechanism and the most important parameters of knowledge on Industry 4.0 diffusion.


2018 ◽  
Vol 57 (8) ◽  
pp. 1935-1955 ◽  
Author(s):  
Sha Zhu ◽  
Harrison Hao Yang ◽  
Shun Xu ◽  
Jason MacLeod

The rapid integration of social media into personal, professional, and educational settings has catalyzed the need to assess social media competence. This study provides the rationale for developing an instrument to conduct such an assessment, and the research illustrates evidence of validity and reliability in assessing social media competence in the field of higher education. The instrument includes 28 items and 4 dimensions: technical usability, content interpretation, content generation, and anticipatory reflection. Data were collected from a sample of 622 college students. Exploratory and confirmatory factor analyses were conducted, and this study finds that the instrument shows no signs of deficiency in its validity or reliability when measuring social media competence. Accordingly, the instrument could be used to evaluate and improve levels of social media competence in higher education.


2020 ◽  
Vol 13 (2) ◽  
pp. 313-340
Author(s):  
Peggy Lambriex-Schmitz ◽  
Marcel R. Van der Klink ◽  
Simon Beausaert ◽  
Monique Bijker ◽  
Mien Segers

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