Open AccessPRODUCT QUALITY CONTROL ANALYSIS BY USING STATISTICAL PROCESSING CONTROL ON PRINTING SAKILA JEMBER
Author(s) -
Ahmad Sauqi,
Helmi Agus Salim,
Saiful Amin
Publication year - 2022
Publication title -
mba: journal of management and business aplication/mba : journal of management and business aplication
Language(s) - English
Resource type - Journals
eISSN - 2615-0352
pISSN - 2614-1981
DOI - 10.31967/mba.v5i1.551
Subject(s) - control chart , product (mathematics) , control limits , production (economics) , control (management) , quality (philosophy) , statistical process control , raw material , limit (mathematics) , operations management , statistical analysis , computer science , production line , manufacturing engineering , business , statistics , engineering , marketing , mathematics , process (computing) , artificial intelligence , economics , chemistry , mathematical analysis , philosophy , geometry , organic chemistry , epistemology , macroeconomics , operating system
The pandemic has made many businesses out of business, one of the affected business activitiesis Sakila's printing business. Initial surveys show an average of 4.46% of production damage.The direction of this research is to control quality with statistical aids in the form of SPC. Theresults showed that this printer experienced various deviations, as evidenced by the p chart valuewhich was still outside the control limit. The graphic map showed there were 17 points outsidethe control limit. The total damage from 6 product items for a month amounted to 4543 from atotal production of 70,647. Sequentially, the worst damage was in the opaque damage 2740, thedamage was not in accordance with the layout 1008 and the damage due to being cut was 795.The factors causing the damage were workers, production machines, raw materials, workmethods and the work environment.