PCA Analysis of Resource Availability as One of the Inputs in the Process of Estimating the Length of Assembly Time for Complex Products
Artykuł w czasopiśmie
MNiSW
20
Lista 2024
| Status: | |
| Autorzy: | Brzozowska Jolanta, Kulisz Monika, Gola Arkadiusz |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Rok wydania: | 2024 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Numer czasopisma: | 19 |
| Wolumen/Tom: | 58 |
| Strony: | 767 - 771 |
| Scopus® Cytowania: | 0 |
| Bazy: | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Otwarte czasopismo |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Data opublikowania w OA: | 9 października 2024 |
| Abstrakty: | angielski |
| One of the key stages in the manufacturing process of finished products is the assembly cycle. Accurate analysis of the assembly time for a given product influences the actual realisation of the order within the agreed timeframe and, consequently, the delivery of the finished product within the contractual deadline. In many cases, however, it is not possible to determine this time by traditional methods, which has led to a search for methods based on the latest developments in science and technology. Improving the quality of assembly time estimation is one of the objectives of companies. Improving a given area requires a new approach and the search for new solutions to the problem. In this paper, the PCA method is presented to identify key input factors related to resource availability, which are crucial for modelling the length of the assembly cycle of complex products. The results of the PCA showed the variables that were considered important due to their significant impact and relevance. |
