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Efektivitas Metode Pdca Dalam Meningkatkan Akurasi Pengujian Komposisi Benang Di Industri Pemintalan

Year: 2024

Type: article

Abstract: This study investigates the effectiveness of the Plan-Do-Check-Act (PDCA) method in improving the accuracy of polyester-cotton blend yarn composition testing within the spinning industry. The PDCA methodology was applied to address current testing inaccuracies, focusing on achieving the industry-standard blend ratio of 65/35 polyester-cotton. Adjustments in procedural standards, including drying times, washing techniques, and oven temperatures, were made to align with AATCC guidelines. The results show a significant improvement in testing accuracy, reducing variability and ensuring consistency with work order specifications. This research demonstrates that the PDCA cycle enhances quality control processes and contributes to more reliable outcomes in textile manufacturing. Future work could explore integrating advanced technologies such as AI into the PDCA framework for further optimization.

Source: Prosiding SNAST

DOI: 10.34151/prosidingsnast.v1i1.4910

Authors: Ahmad Darmawi, Adiba Faiza Al Hayya, Irham Aribowo

Institution: Akademi Komunitas Industri Tekstil dan Produk Tekstil Surakarta

Language: English

Topic: Management Systems and Quality Improvement

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W4406077662

FWCI:

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