Perancangan Perbaikan untuk Mengurangi Cacat Produk pada Departemen Fiber di PT XYZ dengan Metode FTA

Author:

Soejanto Jessica Clarissa,Ekawati Yurida,Purnomo Purnomo

Abstract

The fiber department is one of the departments in the PT XYZ produces bus panels and appliances. Based on the fiber production data on August 1 - September 23, 2022, there are 92 defects out of 547 products. It is important to analyze the root cause of the failure in the production process. There are seven types of defects in the manufacturing process that is, fiber is too thick or thin, the fiber surface is rough, fiber has white spots, fiber needs a long time to dry, fiber rejects (liquid/burn), the putty result is imperfect, and the paint is imperfect. The root cause analysis was conducted using Fault Tree Analysis (FTA) method. Based on FTA, defective products can be caused by human, machine, or equipment factors. From that, it will be used for improvement recommendations to improve the quality. Examples of the corrective recommendations are periodic drain engine water, emptying water form, products-checkout form, and roll-cleaning form, using a measuring cup for the catalyst, and a new container for acetone.

Publisher

Universitas Ma Chung

Reference10 articles.

1. Alijoyo, A., Wijaya, B., dan Jacob, I., 2021, Fault Tree Analysis Analisis Pohon Kesalahan, CRMS, Bandung, Indonesia

2. Ernawati, Diah, 2019, Pengaruh Kualitas Produk, Inovasi Produk dan Promosi Terhadap Keputusan Pembelian Produk Hi Jack Sandals Bandung. Jurnal Wawasan Manajemen, 7 (1): 17-32.

3. Kamaludin dan Sulistiono, 2013, Kualitas Produk Sebagai Faktor Penting dalam Pemasaran Ekspor pada PT Eurogate Indonesia, pp 1–45

4. KBBI, 2016. Kamus Besar Bahasa Indonesia (KBBI). [Online, diakses pada 10 September 2022]. Tersedia di: http://kbbi.web.

5. Montgomery, Douglas C., 2009, Statistical Quality Control, 6th edition, John Wiley and Son, USA.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3