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SMART FACTORY WITHIN SUSTAINABLE DEVELOPMENT AND GREEN GROWTH CONCEPTS.
- Source :
- LogForum; 2018, Vol. 14 Issue 4, p467-477, 11p
- Publication Year :
- 2018
-
Abstract
- ackground: The authors' motivation was the growing popularity and interest in both aspects as well as the attempt to identify the relationship between the intelligent factory and other models and concepts. This paper was developed to assess the state-of-the-art in the Smart Factory concept, and in particular its analysis in the context of the concept of sustainable development and green growth policy. The aim of the study was to identify a research gap as a lack of publications linking the concept of a Smart Factory with such management concepts as: lean or agile, as well as green growth policy and sustainable development. Methods: In the literature review, publications from the Web of Science and Scopus databases were analyzed. The identification of the gap was possible due to the analysis of the occurrence of the key concepts in the scientific papers which were selected by the authors. During the research, a sheet was created. It was the database of articles meeting the established criteria. Results and conclusions: There are no articles which cover the Smart Factory topic relating to lean or agile management at the same time. The systematic literature review and the analysis show that other authors rarely see lean and agile as a chance considering the Smart Factory and they do not combine these concepts. On the basis of the review it is impossible to state if the combination is possible and what the relations are. However, this topic is interesting and worth further analyses. This should be considered as a research gap. According to authors, there is a chance or even a need to use a lean and agile approach in production, resources and processes management. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18952038
- Volume :
- 14
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- LogForum
- Publication Type :
- Academic Journal
- Accession number :
- 132493240
- Full Text :
- https://doi.org/10.17270/J.LOG.2018.301