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Analysis of Quality Control of Drawn Textured Yarn Using Six Sigma Method at Indorama Engineering Polytechnic Production Unit Ulum, Rikzan Bachrul; Agassi, Andre; Muchtar, Diki
World Chemical Engineering Journal VOLUME 9 NO. 1 JUNE 2025
Publisher : Chemical Engineering Department, Engineering Faculty, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/wcej.v9i1.33651

Abstract

Drawn textured yarn is one of the production outputs of the Vocational Training Center at Politeknik Enjinering Indorama, a partner of PT Indorama Synthetics Tbk. In its production process at the Vocational Training Center of Politeknik Enjinering Indorama, product defects are still encountered. To reduce product defects, the Six Sigma method with DMAIC approach is employed. For companies prioritizing product quality, quality control over the products must be conducted. This can manage and control the number of rejected or damaged products that could potentially harm the company's reputation in the eyes of consumers when the products are marketed.
SIMULASI PROSES PRODUKSI KERUPUK KULIT DOROKDOK PD.ABC SUKAREGANG – GARUT Muchtar, Diki; Herdiansyah, Ferry; gumelar, indra
Jurnal Teknologika Vol 14 No 1 (2024): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v14i1.364

Abstract

PD.ABC experienced problems with an inefficient production system. This is indicated by the minimum amount of output that can be sent. This becomes a source of problems when there is a large order of dorokdok skin crackers, which cannot be completely filled. Therefore, this research will analyze the factors that become obstacles in the dorokdok skin cracker production system using a system modeling and simulation approach. The conclusion was that in the PD dorokdok skin cracker production system. ABC still lacks workers for the production process. This causes the failure rate in sending dorokdok skin crackers to still exist and losses occur. With 2 operators, the maximum output produced is only 63 pcs/day with costs incurred of Rp. 2,950,000 and the profit obtained is only Rp. 1,260,000 or it could be interpreted that PD.ABC suffered a loss of Rp. 1,690,000. After improvements were made, by adding 3 operators it was seen that the simulation results did not show any failures in the production process flow of dorokdok skin crackers with the maximum output produced being 500 pcs/day, the total costs incurred amounting to IDR 6,850,000 and the profit obtained amounting to IDR 10,000,000 or it could be interpreted as PD.ABC experiencing a profit of IDR 3,150,000. So it can be concluded that the improvements made have been effective by increasing human power thereby increasing PD dorokdok skin cracker production capacity. A B C
Proposed ProModel Implementation to Increase Production Quantity at PT ABC Muchtar, Diki; Ramlan Yuniar Velani; Suci Tresna Dewi Handayani
Jurnal Teknologika Vol 15 No 2 (2025): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v15i2.543

Abstract

This study focuses on initiatives to enhance production quantity at PT ABC. The study applied a simulation-based approach using ProModel software to test various improvement scenarios without interfering with actual production activities. The data collected includes processing time at each workstation and machine capacity, which were used to build an accurate simulation model. The simulation results showed a significant increase in productivity from 35 to 78 units per hour after implementing the second improvement alternative involving additional manpower. This study offers practical and data-driven solutions to enhance production efficiency, reduce cycle time, and eliminate bottlenecks. The findings serve as a valuable reference for companies aiming to implement production line optimization strategies and simulation modeling to support continuous improvement in manufacturing performance.