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首页> 外文期刊>Journal of Engineering, Project, and Production Management >Application of Failure Mode Effect Analysis (FMEA) to Reduce Downtime in a Textile Share Company
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Application of Failure Mode Effect Analysis (FMEA) to Reduce Downtime in a Textile Share Company

机译:应用故障模式影响分析(FMEA)减少一家纺织股份公司的停机时间

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Downtime is significant among the role players of production loss and low productivity. The case company is currently experiencing high downtimes and it is producing less than 48% of its capacity. This case study aims at reducing the high downtime through the application of Failure Mode Effect Analysis (FMEA) as a major productivity improvement tool. Both secondary and primary data were collected through documentation assessments, observations and discussions with kep people in the weaving section. The findings of the research show that, this particular section of the company, the recorded downtime is found to be very high compared to actual operation time. The loom machines are down daily for 38.69% of the total production time on average which highly affects the productivity. As a result, the failure modes, their effects and cause of the weaving/loom section of the company are prioritized using the Risk Priority Number (RPN). The corrective actions that the company should take to improve its productivity are articulated. Taking the FMEA result of the loom machines processes and focusing on the vital few causes of the identified failure modes that contribute more than 50% of the RPNs, the company can decrease the downtime of the section by 299.04 hrs/day.
机译:停机时间是造成生产损失和生产率低下的重要因素。该案例公司目前正经历着很高的停机时间,其产能不足其产能的48%。本案例研究旨在通过应用故障模式影响分析(FMEA)作为主要的生产率提高工具来减少高停机时间。二级和一级数据都是通过文档评估,观察和与编织部门基普人员的讨论而收集的。研究结果表明,在公司的这一特定部门中,发现记录下来的停机时间与实际运行时间相比非常高。织机每天平均减少总生产时间的38.69%,这极大地影响了生产率。结果,使用风险优先级编号(RPN)对公司的织造/织机部分的故障模式,其影响和原因进行了优先排序。阐明了公司为提高生产率应采取的纠正措施。采取织机加工过程的FMEA结果,并着眼于确定的故障模式的极少数原因,这些故障模式占RPN的50%以上,该公司可以将断面的停机时间减少299.04小时/天。

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