RESEARCH PAPER
Scalability analysis of selected structures of a reconfigurable manufacturing system taking into account a reduction in machine tools reliability
| 1 | Faculty of Mechanical Engineering, Lublin University of Technology, ul. Nadbystrzycka 36, 20-618 Lublin, Poland |
| 2 | Faculty of Economics, Maria Curie Skłodowska University, Pl. Marii Curie-Skłodowskiej 5, 20-031 Lublin, Poland |
| 3 | Faculty of Economics and Management, University of Zielona Góra, ul. Podgórna 50d, 65-246 Zielona Góra, Poland |
| 4 | Faculty of Electronics and Computer Science, Koszalin University of Technology, ul. Śniadeckich 2, 75-453 Koszalin, Poland |
Publication date: 2021-06-30
Eksploatacja i Niezawodność – Maintenance and Reliability 2021;23(2):242–252
HIGHLIGHTS
- The impact of a decline in the reliability of machine tools on the scalability of a RMS was assessed.
- Two-, three-, four- and five-stage RMS structures were analyzed.
- To identify bottlenecks and evaluate RMS productivity computer simulation methods were used.
- The highest level of scalability was observed for the largest numbers of manufacturing stages.
- The most stable level of reliability of the entire RMS was obtained for the lowest number of stages.
KEYWORDS
reconfigurable manufacturing systemRMSscalabilityconfigurationproductionstructurereliabilitysimulationsTecnomatix Plant Simulation
ABSTRACT
Scalability is a key feature of reconfigurable manufacturing systems (RMS). It enables
fast and cost-effective adaptation of their structure to sudden changes in product demand.
In principle, it allows to adjust a system's production capacity to match the existing orders. However, scalability can also act as a "safety buffer" to ensure a required minimum
level of productivity, even when there is a decline in the reliability of the machines that
are part of the machine tool subsystem of a manufacturing system. In this article, we
analysed selected functional structures of an RMS under design to see whether they
could be expanded should the reliability of machine tools decrease making it impossible to achieve a defined level of productivity. We also investigated the impact of the
expansion of the system on its reliability. To identify bottlenecks in the manufacturing
process, we ran computer simulations in which the course of the manufacturing process
was modelled and simulated for 2-, 3-, 4- and 5-stage RMS structures using Tecnomatix
Plant Simulation software.
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