The Use of Intelligent Systems to Support the Decision-Making Process in Lean Maintenance Management
Artykuł w czasopiśmie
MNiSW
20
Lista 2021
| Status: | |
| Autorzy: | Antosz Katarzyna, Paśko Łukasz, Gola Arkadiusz |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Rok wydania: | 2019 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Numer czasopisma: | 10 |
| Wolumen/Tom: | 52 |
| Strony: | 148 - 153 |
| Web of Science® Times Cited: | 18 |
| Scopus® Cytowania: | 35 |
| Bazy: | Web of Science | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| Manufacturing companies continually aim at increasing the performance and effectiveness of maintenance processes. The emphasis is put on the elimination of unexpected failures which generate unnecessary costs and production losses. The element that has an impact on the efficiency of maintenance is not only the selection of an appropriate conservation strategy and the use of appropriate methods and tools to support the decision-making process in this area. The aim of this work is to present the possibility of using intelligent systems to support decision-making processes in the implementation of the Lean Maintenance concept, which allows to increase the operational efficiency of the company’s technical infrastructure. |
