- Tytuł:
- Optimisation of decision-making process in industrial robot selection
- Autorzy:
-
Kangru, Tavo
Riives, Jüri
Otto, Tauno
Kuts, Vladimir
Moor, Madis - Powiązania:
- https://bibliotekanauki.pl/articles/99703.pdf
- Data publikacji:
- 2020
- Wydawca:
- Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
- Tematy:
-
Industry 4.0
industrial robot
performance evaluation
dual optimisation principle - Opis:
- The successful selection process of industrial robots (IRs) for today’s Cyber-Physical Systems is an important topic and there are different possibilities to solve the task. The primary task is to estimate the existing IR selection systems according to the suitability analysis and to highlight the main positive features and problematic areas. The objective of the reverse task is to carry out the sensitivity analysis of the existing robot-based manufacturing systems. The matching of these two approaches helps decision makers to develop the main principles of IR selection in today’s multidimensional and fast-changing economic world.
- Źródło:
-
Journal of Machine Engineering; 2020, 20, 1; 70-81
1895-7595
2391-8071 - Pojawia się w:
- Journal of Machine Engineering
- Dostawca treści:
- Biblioteka Nauki
Artykuł