{"title":"用统计过程控制(SPC)方法对生产质量管理控制进行分析,以最大限度地减少对流贝希尔克拉滕的次品率","authors":"J. Prasetyo, Imam Santoso, NUR WINDHI HASTUTI","doi":"10.54840/wijob.v3i1.242","DOIUrl":null,"url":null,"abstract":"Basir Konveksi is a home-based convection business in Buntalan Village, Klaten Regency. The products produced are kindergarten, elementary and middle school uniforms, kindergarten drumbands, sports t-shirts, graduation uniforms, sinoman uniforms, school vests. This convection has problems, namely the accumulation of semi-finished and finished materials in the warehouse due to the unsupervised fabric cutting process. This research aims to find out how to minimize defective products using the Statistical Process Control (SPC) method. Observing one of the production flows, namely the production of kindergarten uniforms, obtained variable data consisting of four types, namely shirt length, shirt sleeve length, trouser length and waist circumference. Attribute data in the form of dirty materials or fabric, pieces of fabric that exceed or fall below the standard and attributes that have not been installed (buttons, logos, brands). The most dominant defect data discovery was fabric cuts that were more than or less than the standard, is 35.55%. Then the causes of product defects were analyzed using a fishbone diagram and it was found that the main factors causing product defects were material, machine, human, method, supervision and work environment factors. From this research, several suggestions were obtained for companies to make the right decisions in minimizing defective products and repairing them so as to obtain optimal product quality and always evaluating and improving employee performance so that employees are more disciplined and productive at work.","PeriodicalId":390499,"journal":{"name":"WIJoB - Widya Dharma Journal of Business","volume":"63 20","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ANALISIS PENGENDALIAN MANAJEMEN KUALITAS PRODUKSI DENGAN METODE STATISTICAL PROCESS CONTROL (SPC) UNTUK MEMINIMALKAN PRODUK CACAT PADA KONVEKSI BASIR KLATEN\",\"authors\":\"J. Prasetyo, Imam Santoso, NUR WINDHI HASTUTI\",\"doi\":\"10.54840/wijob.v3i1.242\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Basir Konveksi is a home-based convection business in Buntalan Village, Klaten Regency. The products produced are kindergarten, elementary and middle school uniforms, kindergarten drumbands, sports t-shirts, graduation uniforms, sinoman uniforms, school vests. This convection has problems, namely the accumulation of semi-finished and finished materials in the warehouse due to the unsupervised fabric cutting process. This research aims to find out how to minimize defective products using the Statistical Process Control (SPC) method. Observing one of the production flows, namely the production of kindergarten uniforms, obtained variable data consisting of four types, namely shirt length, shirt sleeve length, trouser length and waist circumference. Attribute data in the form of dirty materials or fabric, pieces of fabric that exceed or fall below the standard and attributes that have not been installed (buttons, logos, brands). The most dominant defect data discovery was fabric cuts that were more than or less than the standard, is 35.55%. Then the causes of product defects were analyzed using a fishbone diagram and it was found that the main factors causing product defects were material, machine, human, method, supervision and work environment factors. From this research, several suggestions were obtained for companies to make the right decisions in minimizing defective products and repairing them so as to obtain optimal product quality and always evaluating and improving employee performance so that employees are more disciplined and productive at work.\",\"PeriodicalId\":390499,\"journal\":{\"name\":\"WIJoB - Widya Dharma Journal of Business\",\"volume\":\"63 20\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"WIJoB - Widya Dharma Journal of Business\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54840/wijob.v3i1.242\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"WIJoB - Widya Dharma Journal of Business","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54840/wijob.v3i1.242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
Basir Konveksi 是克拉登县 Buntalan 村的一家家庭对流企业。生产的产品包括幼儿园、小学和中学校服、幼儿园手环、运动 T 恤、毕业校服、sinoman 校服、校服背心。这种对流存在一些问题,即由于布料裁剪过程无人监管,半成品和成品材料在仓库中堆积。本研究旨在找出如何利用统计过程控制(SPC)方法最大限度地减少次品。通过观察其中一个生产流程,即幼儿园校服的生产流程,获得了四种类型的变量数据,即衬衫长度、衬衫袖长、裤子长度和腰围。属性数据的形式包括脏材料或布料、超过或低于标准的布片以及未安装的属性(纽扣、标识、品牌)。发现的最主要缺陷数据是超过或低于标准的布料裁剪,占 35.55%。然后使用鱼骨图分析了产品缺陷的原因,发现造成产品缺陷的主要因素是材料、机器、人、方法、监督和工作环境因素。通过这项研究,我们为企业提出了一些建议,以便企业做出正确的决策,最大限度地减少缺陷产品和修复缺陷产品,从而获得最佳的产品质量,并始终评估和改进员工的绩效,使员工在工作中更有纪律性和生产力。
ANALISIS PENGENDALIAN MANAJEMEN KUALITAS PRODUKSI DENGAN METODE STATISTICAL PROCESS CONTROL (SPC) UNTUK MEMINIMALKAN PRODUK CACAT PADA KONVEKSI BASIR KLATEN
Basir Konveksi is a home-based convection business in Buntalan Village, Klaten Regency. The products produced are kindergarten, elementary and middle school uniforms, kindergarten drumbands, sports t-shirts, graduation uniforms, sinoman uniforms, school vests. This convection has problems, namely the accumulation of semi-finished and finished materials in the warehouse due to the unsupervised fabric cutting process. This research aims to find out how to minimize defective products using the Statistical Process Control (SPC) method. Observing one of the production flows, namely the production of kindergarten uniforms, obtained variable data consisting of four types, namely shirt length, shirt sleeve length, trouser length and waist circumference. Attribute data in the form of dirty materials or fabric, pieces of fabric that exceed or fall below the standard and attributes that have not been installed (buttons, logos, brands). The most dominant defect data discovery was fabric cuts that were more than or less than the standard, is 35.55%. Then the causes of product defects were analyzed using a fishbone diagram and it was found that the main factors causing product defects were material, machine, human, method, supervision and work environment factors. From this research, several suggestions were obtained for companies to make the right decisions in minimizing defective products and repairing them so as to obtain optimal product quality and always evaluating and improving employee performance so that employees are more disciplined and productive at work.