{"title":"PROPOSED QUALITY IMPROVEMENT OF ACRYLIC RESIN PRODUCTS WITH SIX SIGMA (AT PT. XYZ)","authors":"S. Oktavia","doi":"10.33536/jiem.v8i2.1448","DOIUrl":null,"url":null,"abstract":"PT. XYZ is a manufacturing company that produces various types of resins. One of them is acrylic resin, acrylic resin is the raw material for loading solvent base paints such as those used in the automotive paint manufacturing process. In acrylic resin, defects are usually found such as dirty resin, yellow resin color and rust drum. This study aims to determine the value of the sigma level on acrylic resin products before repair, analyze the factors that cause defects in acrylic resin products and provide suggestions for improvements with the Six Sigma approach. So that defects that occur in acrylic products can be reduced or even eliminated, With a six sigma approach in analyzing and calculating data using the DMAIC concept (define, measure, analyze, improve and control), the total acrylic resin defects in the last six months have an average by 8.94% with a type of gross resin defect of 89.88%, drum rust of 95.80% and yellow resin color of 100.00%. While the average sigma value on acrylic resin before repair was 3.15 with DPMO damage of 81,636 for a million productions. Based on the fishbone diagram, the causes of dirty resin defects, yellow resin color, rust drums are from human factors, materials, machines, methods and the environment. Based on the 5W + 1H method, suggestions can be given to companies in the form of periodic checks on machines, making a schedule for cleaning the production area, holding training or training for employees and carrying out supervision from superiors. Keywords: Quality Control, Six Sigma, DMAIC and 5W+1H 1","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"51 1","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Industrial Engineering and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33536/jiem.v8i2.1448","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
PT. XYZ is a manufacturing company that produces various types of resins. One of them is acrylic resin, acrylic resin is the raw material for loading solvent base paints such as those used in the automotive paint manufacturing process. In acrylic resin, defects are usually found such as dirty resin, yellow resin color and rust drum. This study aims to determine the value of the sigma level on acrylic resin products before repair, analyze the factors that cause defects in acrylic resin products and provide suggestions for improvements with the Six Sigma approach. So that defects that occur in acrylic products can be reduced or even eliminated, With a six sigma approach in analyzing and calculating data using the DMAIC concept (define, measure, analyze, improve and control), the total acrylic resin defects in the last six months have an average by 8.94% with a type of gross resin defect of 89.88%, drum rust of 95.80% and yellow resin color of 100.00%. While the average sigma value on acrylic resin before repair was 3.15 with DPMO damage of 81,636 for a million productions. Based on the fishbone diagram, the causes of dirty resin defects, yellow resin color, rust drums are from human factors, materials, machines, methods and the environment. Based on the 5W + 1H method, suggestions can be given to companies in the form of periodic checks on machines, making a schedule for cleaning the production area, holding training or training for employees and carrying out supervision from superiors. Keywords: Quality Control, Six Sigma, DMAIC and 5W+1H 1
期刊介绍:
International Journal of Industrial Engineering and Management (IJIEM) is an interdisciplinary international academic journal published quarterly. IJIEM serves researchers in the industrial engineering, manufacturing engineering and management fields. The major aims are: To collect and disseminate information on new and advanced developments in the field of industrial engineering and management; To encourage further progress in engineering and management methodology and applications; To cover the range of engineering and management development and usage in their use of managerial policies and strategies. Thus, IJIEM invites the submission of original, high quality, theoretical and application-oriented research; general surveys and critical reviews; educational or training articles including case studies, in the field of industrial engineering and management. The journal covers all aspects of industrial engineering and management, particularly: -Smart Manufacturing & Industry 4.0, -Production Systems, -Service Engineering, -Automation, Robotics and Mechatronics, -Information and Communication Systems, -ICT for Collaborative Manufacturing, -Quality, Maintenance and Logistics, -Safety and Reliability, -Organization and Human Resources, -Engineering Management, -Entrepreneurship and Innovation, -Project Management, -Marketing and Commerce, -Investment, Finance and Accounting, -Insurance Engineering and Management, -Media Engineering and Management, -Education and Practices in Industrial Engineering and Management.