Indicators of Hierarchical Structure Model of Supporting the Production Management Process – A Framework
Fragment książki (Rozdział monografii pokonferencyjnej)
MNiSW
20
Poziom I
| Status: | |
| Autorzy: | Meller Artur, Piechowski Mariusz, Gola Arkadiusz |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Strony: | 356 - 367 |
| Scopus® Cytowania: | 0 |
| Bazy: | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | TAK |
| Nazwa konferencji: | Intelligent Systems in Production Engineering and Maintenance III |
| Skrócona nazwa konferencji: | ISPEM 2023 |
| URL serii konferencji: | LINK |
| Termin konferencji: | 13 września 2023 do 15 września 2023 |
| Miasto konferencji: | Wrocław |
| Państwo konferencji: | POLSKA |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| Increasing customer requirements oblige producers to improve methods of managing the production process. One of the directions of improvement is the digitization of production management processes. The digitization process significantly affects the way of monitoring and controlling the production process by optimizing its resources thanks to the use of effective methods of collecting and processing information. One of the most important tools for monitoring the course of the process is the analysis of Key Performance Indicators (KPI). They are used to measure and evaluate the strategically, operational and tactical parameters that characterize the functioning of the enterprise. This article presents an novel model of the hierarchical structure of indicators, the task of which is to support the managerial staff in the decision-making process. The model allows to optimize and control of the production process at various decision levels based on reliable information resulting from its parameters. |
