A fuzzy FMEA for detecting the risk of defects in polyethylene (PE) film products

E. Krisnaningsih, Imam Ribowo Sakti, Saleh Dwiyatno, A. Ridwan
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Abstract

Product quality is a top priority that must be considered so that the products produced follow quality standards based on the characteristics and specifications set by the company. This study aims to identify the failure risk of the most dominant type of defect in Polyethylene (PE) Film products and identify the significant factors that cause the most dominant defects so that a proposal for improvement is obtained. The Fuzzy Failure mode and effect analysis (FFMEA) method is applied to reduce the risk of product defects in the PE Film production process. The steps with FFMEA are: a). Identify the type of defect of the Polyethylene film product, b). investigate the potential causes of each mode of failure and their impact, c). Identify the scale and linguistic terms for the input factors S, O, and D. d). Create a membership function appropriate for S, O, and D input factors, e). Change the input factor values S, O, and D to linguistic variables, f). establish an IF-Then rule, create a fuzzy risk priority number (FRPN) membership function, g). defuzzification. The results showed that the application of this method was quite effectively applied, the risk factor for the dominant defect in the production of PE film was the type of Pinhole defect caused by material factors, and the production process and temperature with proposed improvements were focused on periodic maintenance.
模糊FMEA用于聚乙烯(PE)薄膜产品缺陷风险检测
产品质量是必须考虑的头等大事,以使生产的产品符合公司设定的特性和规格的质量标准。本研究旨在识别聚乙烯(PE)薄膜产品中最主要缺陷类型的失效风险,并识别导致最主要缺陷的重要因素,从而获得改进建议。应用模糊失效模式及影响分析(FFMEA)方法降低PE薄膜生产过程中产品缺陷的风险。使用FFMEA的步骤如下:),确定缺陷的类型的聚乙烯薄膜产品,b)。调查每个失效模式的潜在原因及其影响,c)。确定规模和语言方面的输入因素,O,和d d)。创建一个隶属函数适合年代,O,和d输入因素,e)。改变输入因子值年代,O,和d语言变量,f)。建立一个if - then规则,建立一个模糊风险优先数(FRPN)隶属函数,g),去模糊化。结果表明,该方法的应用非常有效,PE薄膜生产中主要缺陷的风险因素是材料因素引起的针孔缺陷类型,提出改进的生产工艺和温度主要集中在定期维护上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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