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Evergreen
Article . 2025 . Peer-reviewed
Data sources: Crossref
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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Predictive Surface Defect Detection in Particleboard Manufacturing using Defect Tracking Matrix–Principal Component Analysis Framework toward Zero Defect Manufacturing

Authors: Tjahjaningsih, Yustina Suhandini; Singgih, Moses Laksono; Karningsih, Putu Dana;

Predictive Surface Defect Detection in Particleboard Manufacturing using Defect Tracking Matrix–Principal Component Analysis Framework toward Zero Defect Manufacturing

Abstract

Zero Defects Manufacturing (ZDM) is a proactive quality strategy aimed at preventing defects during production. This study proposes a novel integrated method using the Defect Tracking Matrix (DTM) and Principal Component Analysis (PCA) to predict the sources of surface defects in particleboard manufacturing. The authors evaluated twenty technical attributes and sixteen quality defects. Results showed that duct cleaning, setting blower, screen cleaning, press calibration, and blade sharpening were key contributors to detect patterns. The DTM-PCA framework improves traceability and helps implement ZDM through structured, data-driven analysis in a previously unexplored context.

Published in Evergreen, Volume 12, Issue 04. Citation formats available via DOI link.

Keywords

zero defects manufacturing, particleboard industry, principal component analysis, defect tracking matrix, prediction, quality control

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold