Article: HACCP-based Cooperative Model for Smart Factory in South Korea.
2020 Volume 175, Page(s) 778–783
Abstract: Smart Factory has already become an irresistible entity in manufacturing, which has led to a much wider scope of existing manufacturing innovations and the achievement of qualitative improvements. Unsurpassed progress has been made in the manufacturing ... ...
| Abstract | Smart Factory has already become an irresistible entity in manufacturing, which has led to a much wider scope of existing manufacturing innovations and the achievement of qualitative improvements. Unsurpassed progress has been made in the manufacturing sector through the combination of professional know-how and advanced IT, and HACCP has already thoroughly managed all steps from raw materials for agricultural and livestock products to processing, packaging and distribution before digitalization. Sanitary issues in each country have now been raised to the level of national security under the influence of COVID-19. Although HACCP is already well-managed by country, we have looked at this discussion and detailed technological transformation from a digital data perspective, as it is now possible to collect, store, record and report data to government offices more smartly in line with technological advances in smart factories. The intersection of smart factories and HACCPs is consistent in terms of data collection, storage and utilization. Furthermore, the addition of Blockchain technology to strictly prevent data forgery is more interesting. Although the use of Blockchain in general factories has been relatively insignificant, it is expected that the use of Blockchain technology will be expanded through smart HACCP, which forms the interface between smart factory technology and HACCP, and that agricultural, livestock and household factories will introduce more smart factories. |
|---|---|
| Keywords | covid19 |
| Language | English |
| Publishing date | 2020-08-06 |
| Publishing country | Netherlands |
| Document type | Journal Article |
| ZDB-ID | 2557358-5 |
| ISSN | 1877-0509 |
| ISSN | 1877-0509 |
| DOI | 10.1016/j.procs.2020.07.116 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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