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Abstract:
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The essence of reliability is the probability of success. Success is adequate
performance. Reliability is the probability of adequate performance. Reliability
engineering studies and the use of probability statistics have proven beneficial to the
improvement of machinery and process performance.
This thesis researches the use of reliability statistics in a circular knitting plant to
determine the chronic problem units (CPU), or repeating/frequent failure reasons of
circular knitting machines. By analyzing and then calculating the frequency of
failures for each machine over a specific time period, reliability values of the knitting
machines were determined.
Results of the study indicated that reliability data can effectively be used to
uncover the chronic problem units hampering a circular knitting plant from achieving
high machine reliability values. These reliability data successfully revealed chronic
machine failures resulting from yarn quality problems, differing yarn brakes and
package geometries.
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