Application of Demerit Chart and Fuzzy Demerit Chart for Monitoring Paper Production

M. Y. Matdoan; A. H. Talakua; Marsono Marsono; D. A. Safira; A. S. Suriaslan; M. Zulfadhli; A. W. Rukua

doi:10.30598/pijmathvol3iss2pp77-86

M. Y. Matdoan Department of Statistic, Faculty of Science and Technology, Universitas Pattimura, Indonesia https://orcid.org/0000-0001-6185-9300
A. H. Talakua Department of Statistic, Faculty of Science and Technology, Universitas Pattimura, Indonesia
Marsono Marsono Badan Pusat Statistik (BPS) of West Sulawesi, Indonesia
D. A. Safira Department of Statistics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Indonesia https://orcid.org/0009-0005-8919-786X
A. S. Suriaslan Department of Statistics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Indonesia https://orcid.org/0009-0001-8176-1527
M. Zulfadhli Department of Statistics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Indonesia https://orcid.org/0009-0003-9329-676X
A. W. Rukua Deparment of Artificial Intelligence, Engineering and Computer Science School, United Kingdom

DOI: https://doi.org/10.30598/pijmathvol3iss2pp77-86

Keywords: Demerit Control Chart, Fuzzy Demerit Control Chart, Statistics Process Control

Abstract

Statistical Process Control (SPC) is an important method in quality control to monitor and improve production processes. Control charts are one of the SPC tools that are often used to quickly detect the causes of process variation so that improvements can be made before more nonconforming products are produced. The u chart is commonly used to monitor the number of defects in a production unit. However, this control chart has limitations in handling variations in defect severity, so demerit and fuzzy demerit control charts were developed to assign weights to defects based on their severity. Demerit and fuzzy demerit control charts have been applied in various production cases, but the study of the application of demerit and fuzzy demerit control charts in the industrial field, especially the paper industry, has never been done. The purpose of this study is to apply demerit and fuzzy demerit control charts to monitor and evaluate the quality of the paper production process at PT. Bosowa Media Grafika (Tribun Timur). The data used in this study are secondary data obtained from research conducted by Ilham (2012). The results obtained that the demerit chart and the fuzzy demerit chart show that the paper production process at PT Bosowa Media Grafika (Tribun Timur) is still in a stable condition (incontrol) in each observation. This shows that demerit and fuzzy demerit control charts have the same performance in monitoring the paper production process.

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