LAPSE:2023.20196
Published Article
LAPSE:2023.20196
The Contribution of Lean Management—Industry 4.0 Technologies to Improving Energy Efficiency
March 17, 2023
The current socio-economic and environmental context obliges companies to increase their energy efficiency to be competitive, and the development of Industry 4.0 technologies should contribute to improve it. This article analyses the influence of Industry 4.0 technologies on energy efficiency and the mediation of quality management of production process variables. After a descriptive analysis, a correlation and regression analysis is presented using information from 72 projects for the integration of Industry 4.0 technologies in industrial companies. At a global level, it is confirmed that the four technology groups (Artificial Vision and Artificial Intelligence, Additive Manufacturing and Robotics, Big Data and Advanced Analytics, and Internet of Things) contribute to improving energy efficiency by an average of 15−25% in the processes where they are integrated. In addition, the regression model determines that improved decision-making capabilities strongly mediate the achievement of higher energy efficiency.
Suggested Citation
Arana-Landín G, Uriarte-Gallastegi N, Landeta-Manzano B, Laskurain-Iturbe I. The Contribution of Lean Management—Industry 4.0 Technologies to Improving Energy Efficiency. (2023). LAPSE:2023.20196
Author Affiliations
Arana-Landín G: Faculty of Engineering from Gipuzkoa, Department of Business Management, University of the Basque Country, Europa Square 1, 20018 San Sebastián, Spain [ORCID]
Uriarte-Gallastegi N: Faculty of Engineering from Bilbao, Department of Business Management, University of the Basque Country, Ingeniero Torres Quevedo Square 1, 48013 Bilbao, Spain [ORCID]
Landeta-Manzano B: Faculty of Engineering from Bilbao, Department of Business Management, University of the Basque Country, Ingeniero Torres Quevedo Square 1, 48013 Bilbao, Spain [ORCID]
Laskurain-Iturbe I: Faculty of Engineering from Gipuzkoa, Department of Business Management, University of the Basque Country, Europa Square 1, 20018 San Sebastián, Spain [ORCID]
Journal Name
Energies
Volume
16
Issue
5
First Page
2124
Year
2023
Publication Date
2023-02-22
Published Version
ISSN
1996-1073
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Original Submission
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PII: en16052124, Publication Type: Journal Article
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LAPSE:2023.20196
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doi:10.3390/en16052124
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