EFEKTIVITAS PENGENDALIAN MUTU TERINTEGRASI UNTUK MENINGKATKAN KONSISTENSI KUALITAS BENANG KATUN DALAM INDUSTRI PEMINTALAN

This study aims to identify and control the primary factors causing defects in Cotton 30 W yarn at PT Bintang Asahi Textile Industry using fishbone analysis. The research hypothesis states that yarn defects are caused by variations in raw material quality, insufficient operator accuracy, suboptimal mixing methods, and unfavorable environmental conditions. Data collected included Ne and TPI checks on uneven yarn samples analyzed from the packing area. The results revealed inconsistencies in TPI values for dark yarns, attributed to inconsistencies in raw materials and operational factors. Improvement measures are proposed, including selecting raw materials based on micronaire standards, retraining operators, and adjusting production methods. These findings highlight the importance of stringent quality control in the production process to enhance consistent yarn quality. Implementing these results is expected to increase product competitiveness in the global market by meeting export quality standards.

Authors

Publication Details

Journal
Prosiding SNAST
Published
2024-11-23
DOI
https://doi.org/10.34151/prosidingsnast.v1i1.2767
Primary Topic
Agriculture and Agroindustry Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

EFEKTIVITAS PENGENDALIAN MUTU TERINTEGRASI UNTUK MENINGKATKAN KONSISTENSI KUALITAS BENANG KATUN DALAM INDUSTRI PEMINTALAN

Bambang Yulianto, Ahmad Darmawi, Nova Yastifa Stevefani
Prosiding SNAST
Agriculture and Agroindustry Studies
article

EFEKTIVITAS PENGENDALIAN MUTU TERINTEGRASI UNTUK MENINGKATKAN KONSISTENSI KUALITAS BENANG KATUN DALAM INDUSTRI PEMINTALAN

Bambang Yulianto, Ahmad Darmawi, Nova Yastifa Stevefani
article en

Abstract

This study aims to identify and control the primary factors causing defects in Cotton 30 W yarn at PT Bintang Asahi Textile Industry using fishbone analysis. The research hypothesis states that yarn defects are caused by variations in raw material quality, insufficient operator accuracy, suboptimal mixing methods, and unfavorable environmental conditions. Data collected included Ne and TPI checks on uneven yarn samples analyzed from the packing area. The results revealed inconsistencies in TPI values for dark yarns, attributed to inconsistencies in raw materials and operational factors. Improvement measures are proposed, including selecting raw materials based on micronaire standards, retraining operators, and adjusting production methods. These findings highlight the importance of stringent quality control in the production process to enhance consistent yarn quality. Implementing these results is expected to increase product competitiveness in the global market by meeting export quality standards.

Prosiding SNAST
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Agriculture and Agroindustry Studies
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