Application of Control Chart for Defect Control in Asinan and Rujak Ciamix Based on POM-QM

This study aims to control defect rates in the production process of Asinan and Rujak Ciamix, a product of a micro, small, and medium enterprise (MSME), using control chart methods supported by POM-QM software. Primary data were collected from production volumes and defect occurrences during the production process in November 2024. The analysis revealed that the defect rate remained within control limits, despite the occurrence of defects such as overly sour taste, hard texture, and burnt sugar. The implementation of control charts facilitated real-time monitoring of the production process, enhanced operational efficiency, and supported accurate data-driven decision-making. This study demonstrates that integrating control chart methods with POM-QM software can assist MSMEs in maintaining process stability, minimizing product defects, and improving quality consistency to meet customer expectations. The findings underscore the potential of this approach to enhance quality management practices in MSME production processes.

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Publication Details

Journal
International Journal of Management and Business Economics
Published
2025-01-09
DOI
https://doi.org/10.58540/ijmebe.v3i2.743
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Application of Control Chart for Defect Control in Asinan and Rujak Ciamix Based on POM-QM

Camelia Rizki Agrina, Luthfia Qolbi Salima
International Journal of Management and Business Economics
Industrial Vision Systems and Defect Detection
article

Application of Control Chart for Defect Control in Asinan and Rujak Ciamix Based on POM-QM

Camelia Rizki Agrina, Luthfia Qolbi Salima
article en

Abstract

This study aims to control defect rates in the production process of Asinan and Rujak Ciamix, a product of a micro, small, and medium enterprise (MSME), using control chart methods supported by POM-QM software. Primary data were collected from production volumes and defect occurrences during the production process in November 2024. The analysis revealed that the defect rate remained within control limits, despite the occurrence of defects such as overly sour taste, hard texture, and burnt sugar. The implementation of control charts facilitated real-time monitoring of the production process, enhanced operational efficiency, and supported accurate data-driven decision-making. This study demonstrates that integrating control chart methods with POM-QM software can assist MSMEs in maintaining process stability, minimizing product defects, and improving quality consistency to meet customer expectations. The findings underscore the potential of this approach to enhance quality management practices in MSME production processes.

International Journal of Management and Business EconomicsVol. 3(2)
Padjadjaran University (ID)
Openalex Percentile: Top 97%
Industrial Vision Systems and Defect Detection
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