Human–Machine Systems Reliability: A Series–Parallel Approach for Evaluation and Improvement in the Field of Machine Tools
Autor: | Rosa Ma Amaya-Toral, Manuel R. Piña-Monarrez, Rosa María Reyes-Martínez, Jorge de la Riva-Rodríguez, Eduardo Rafael Poblano-Ojinaga, Jaime Sánchez-Leal, Karina Cecilia Arredondo-Soto |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
Fluid Flow and Transfer Processes
machine tools Weibull and exponential distribution Technology reliability QH301-705.5 Process Chemistry and Technology Physics QC1-999 General Engineering life–strength model Engineering (General). Civil engineering (General) Computer Science Applications Chemistry FMEA statistical evaluation model root-cause analysis cluster analysis performance evaluation General Materials Science TA1-2040 Biology (General) Instrumentation QD1-999 |
Zdroj: | Applied Sciences, Vol 12, Iss 1681, p 1681 (2022) Applied Sciences; Volume 12; Issue 3; Pages: 1681 |
ISSN: | 2076-3417 |
Popis: | Machine workshops generate high scrap rates, causing non-compliance with timely delivery and high production costs. Due to their natural characteristics of a low volume, high-mix production batches, and serial and parallel configurations, generally the causes of their failure are not well documented. Thus, to reduce the scrap rate, and evaluate and improve their reliability, their system characteristics must be considered. Based on them, our proposed methodology allows us to evaluate the system, subsystem, and component–subsystem relationship by using either the Weibull and/or the exponential distribution. The strategy to improve the system performance includes reliability tools, expert interviews, cluster analysis, and root-cause analysis. In the application case, the failure sources were found to be mechanical and human errors. The component maintenance/setup, institutional conditions/attitude, and subsystem process/operation were the machine factors that presented the lowest reliability indices. The improved activities were monitored based on the Weibull β and η parameters that affect the system reliability. Finally, by using a life–effort analysis, and the method of comparative analysis of two sequential periods, we identified the causes that generated a change in the Weibull parameters. The contribution of this methodology lies in the grouping of the tools in the proposed application context. |
Databáze: | OpenAIRE |
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