利用整体设备效率指标和石川图进行故障模式和影响分析,分析贴模机的效率

Machines Pub Date : 2024-07-11 DOI:10.3390/machines12070467
Rex Revian A. Guste, K. A. Mariñas, A. K. Ong
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引用次数: 0

摘要

半导体制造业推动了工业应用领域的技术发展,但一个不容忽视的关键因素是对机器状态的评估。尽管有先进的设备,但有关其性能的数据却没有得到适当的审查,从而导致了各种问题,如高废品率、低产量、制造间接成本问题和客户投诉等。本研究的目标是评估菲律宾一家著名半导体制造分包商制造的贴片机的性能;我们的研究结果将为其他组织提供重要的启示,使其能够通过生产率指标分析,对生产率方面的困难进行适当的诊断。这项研究主要针对一种特定类型的贴片机,其中 10 号贴片机的问题最多,设备总体效率(OEE)为 43.57%。故障模式和影响分析 (FMEA) 发现,出现问题的主要原因是空转、小停机以及工件夹具螺丝松动导致的故障损失。计算得出的风险优先级(RPN)为 392,严重程度为 7 级,发生级别为 7 级,检测级别为 8 级。 这些发现为在激烈的市场竞争中提高效率和更好地满足客户期望的生产流程中应包含的方法提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficiency Analysis of Die Attach Machines Using Overall Equipment Effectiveness Metrics and Failure Mode and Effects Analysis with an Ishikawa Diagram
The semiconductor manufacturing sector has contributed to the advancement of technical development in the sphere of industrial applications, but one crucial factor that cannot be overlooked is the evaluation of a machine’s state. Despite the presence of advanced equipment, data on their performances are not properly reviewed, resulting in a variety of concerns such as high rejection rates, lower production output, manufacturing overhead cost issues, and customer complaints. This study’s goal is to evaluate the performance of die attach machines made by a prominent subcontractor semiconductor manufacturing business in the Philippines; our findings will provide other organizations with important insights into the appropriate diagnosis of productivity difficulties via productivity metrics analyses. The study focuses on a specific type of die attach machine, with machine 10 showing to be the most troublesome, with an overall equipment effectiveness (OEE) rating of 43.57%. The Failure Mode and Effects Analysis (FMEA) identified that the primary reasons for the issue were idling, small stoppages, and breakdown loss resulting from loosened screws in the work holder. The risk priority number (RPN) was calculated to be 392, with a severity level of 7, an occurrence level of 7, and a detection level of 8. The findings provide new insight into the methods that should be included in the production process to boost efficiency and better suit the expectations of customers in a highly competitive market.
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