2022
DOI: 10.1016/j.matpr.2021.10.170
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Performance Modeling and Availability Analysis of Screw Manufacturing Plant

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Cited by 5 publications
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“…This study, although it requires more processing, it was found that, for defect recognition, the time involved is almost practical, being beneficial for the evaluation of the problem [16]. It should be noted that among these various studies many are involved with other areas of expertise or seek to apply new tools or methodologies, thus using MATLAB programming from the matrix form, delimiting the availability, repair rates and failures in fastener plants, this development being effective because it facilitates the measurement of complex structures with tabular and graphical representation as a function of time, this in order to show the trend in the failure rate of defects in fasteners [17]. Others build models that reflect the inspection findings are then combined into a Python interface with simple execution that instructs operators to identify potential quality concerns or check the quality of the product exiting the facility.…”
Section: Literature Reviewmentioning
confidence: 99%
“…This study, although it requires more processing, it was found that, for defect recognition, the time involved is almost practical, being beneficial for the evaluation of the problem [16]. It should be noted that among these various studies many are involved with other areas of expertise or seek to apply new tools or methodologies, thus using MATLAB programming from the matrix form, delimiting the availability, repair rates and failures in fastener plants, this development being effective because it facilitates the measurement of complex structures with tabular and graphical representation as a function of time, this in order to show the trend in the failure rate of defects in fasteners [17]. Others build models that reflect the inspection findings are then combined into a Python interface with simple execution that instructs operators to identify potential quality concerns or check the quality of the product exiting the facility.…”
Section: Literature Reviewmentioning
confidence: 99%