Open AccessImplementation of Multivariate Exponentially Weighted Mean Square (MEWMS) control chart for quality control of wing parts of Airbus aircraft at PT Dirgantara Indonesia
Author(s) -
E Enjang,
Farid Soleh Nurdin,
Wawan Setiawan,
Eri Subekti,
Deasy Rahmawati
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1402/7/077085
Subject(s) - wing , multivariate statistics , control chart , control limits , limit (mathematics) , mathematics , component (thermodynamics) , diagram , quality (philosophy) , square (algebra) , control (management) , statistics , engineering , computer science , structural engineering , geometry , mathematical analysis , physics , process (computing) , quantum mechanics , artificial intelligence , thermodynamics , operating system
Quality control must be carried out very tightly for the production of single wing multivariate dispersion aircraft manufacturing. This research was conducted at PT. Dirgantara Indonesia in producing components of Airbus aircraft wings centered in Germany and France. The method used includes three stages, namely determining the single observation MEWMS diagram, determining the algorithm for determining L, and implementing MEWMS. The data used are L simulation data for p = 2 and p = 3, ARL = 370, and various values, key characteristic data from 31 wing component components of the aircraft fly with. The results showed that the more variables, the L value as the determinant of the width of the MEWMS control limit was smaller, and the greater the value of ω, the value of L as the width of the MEWMS control border width is wider.