SMEs’ Support Functionality Analysis Based on Statistical Analysis
Moghadaszadeh Bazaz, Sara; Penttilä, Sakari; Ratava, Juho; Ollikainen, Mikael; Varis, Juha (2020-11-19)
Publishers version
Moghadaszadeh Bazaz, Sara
Penttilä, Sakari
Ratava, Juho
Ollikainen, Mikael
Varis, Juha
19.11.2020
Procedia Manufacturing
51
960-966
Elsevier
School of Energy Systems
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2020120198986
https://urn.fi/URN:NBN:fi-fe2020120198986
Tiivistelmä
Industry 4.0 is developing constantly enabling the use of new technologies in various manufacturing applications, including factory floor and production system connectivity and digitally enhanced production processes. The correct use of Industry 4.0 tools improves especially the productivity and transparency of production. However, the use of Industry 4.0 demands knowledge and knowhow. It has been noted that small and medium-sized enterprises (SMEs) lack the knowledge to enable and implement different areas of Industry 4.0. The digitalization level of Finnish SMEs is surveyed in this study, along with a review of the potential support structure for improving the level of implementation of digital processes. A support structure matrix is created to assist the next steps of the SMEs towards Industry 4.0. The support structure matrix created helps SMEs to increase their profitability and competitiveness by introducing Industry 4.0 methods in their operations.
Lähdeviite
Moghadaszadeh Bazaz, S., Penttilä, S., Ratava, J., Ollikainen, M., Varis, J. (2020). SMEs’ Support Functionality Analysis Based on Statistical Analysis. Procedia Manufacturing, vol. 51, pp. 960-966. DOI: 10.1016/j.promfg.2020.10.135
Alkuperäinen verkko-osoite
https://www.sciencedirect.com/science/article/pii/S2351978920319922?via=ihubKokoelmat
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