Open AccessDefect analysis on PVC pipe using Statistical Quality Control (SQC) approach to reduce defects (Case Study: PT. XYZ)
Author(s) -
Rosnani Ginting,
Sugeng Supriadi
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1041/1/012040
Subject(s) - quality (philosophy) , statistical process control , statistic , production (economics) , product (mathematics) , process (computing) , control (management) , reliability engineering , computer science , engineering , manufacturing engineering , materials science , process engineering , forensic engineering , statistics , mathematics , artificial intelligence , physics , geometry , economics , macroeconomics , operating system , quantum mechanics
Product quality is an important factor affecting the level of development and progress of a company. Statistic Quality Control (SQC) as a quality control tool for production can help companies whether the products produced are still under control or not from the initial process or the final product. The research was conducted at PT. XYZ to find out the causes of defects that occur in the PVC pipe production process. In the research, it is known that the defects that occur are melt, crack and hollow with the majority of defects that occur are melt and crack. By using a Cause and Effect diagram, it is known that the cause of defects occurs due to human, machine, materials and method factors. Solutions for defects that occur are given in the hope that the company will implement the solutions offered to reduce the number of defects that occur in the production process.