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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.
PERENCANAAN PRODUKSI YANG OPTIMAL DENGAN METODE LINIER PROGRAMMING PADA PT. LAJU PERDANA INDAH Muchtar, Diki
Journal of Management and Industrial Engineering (JMIE) Vol. 2 No. 1 (2023): MARET
Publisher : LPPM Sekolah Tinggi Teknologi Nusantara Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (533.271 KB)

Abstract

Kuantitas penjualan sangat mempengaruhi jumlah bahan yang dibutuhkan dalam proses produksi, mulai dari pembelian hingga menjadi produk akhir. PT Laju Perdana, sebuah perusahaan manufaktur gula, adalah pemain baru di pasar dan menghadapi persaingan yang ketat dari perusahaan gula yang sudah mapan. Masalah penelitian adalah bagaimana mengembangkan model pemrograman linier yang optimal untuk perencanaan produksi yang meminimalkan biaya produksi untuk PT Laju Perdana, dan berapa biaya yang diperlukan untuk berbagai pilihan sumber daya dalam perencanaan yang optimal tersebut. Metode penelitian menggunakan pemrograman linier untuk menentukan biaya produksi yang optimal berdasarkan kuantitas bahan mentah dan ketersediaan tenaga kerja dalam proses produksi. Validasi data dilakukan dengan menggunakan WinQSB 2.0 untuk menganalisis sensitivitas beberapa elemen dalam perencanaan produksi. Studi ini menyimpulkan bahwa perusahaan dapat mencapai biaya produksi yang optimal dengan menggunakan pemrograman linier berdasarkan kuantitas bahan mentah, yang menghasilkan kapasitas penyimpanan minimum sebesar Rp. 7.692,3 dan biaya penyimpanan maksimum sebesar Rp. 34.667. Temuan ini akan mempengaruhi kapasitas produksi perusahaan di masa depan dalam kemasan unit penjualan. Rekomendasi untuk perusahaan adalah meningkatkan biaya produksi sebesar 26% hingga 27% setiap tahun dengan melakukan perencanaan yang cermat, seperti restrukturisasi anggaran produksi, peningkatan harga produk, memperluas pangsa pasar, meningkatkan promosi, menciptakan variasi produk baru, dan lain-lain.
Bottleneck Analysis and Improvement in Apparel Manufacturing Production Processes Using Integration Design of Experiments and Discrete Event Simulation Muchtar, Diki; Moengin, Parwadi; Surjasa, Dadang; Cahyati, Sally
Advance Sustainable Science Engineering and Technology Vol. 8 No. 2 (2026): February-April
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i2.3288

Abstract

Bottlenecks in apparel manufacturing often cause unbalanced production flows, increased waiting times, and reduced system performance. This study aims to analyze and eliminate bottlenecks by integrating Design of Experiments (DOE) and Discrete Event Simulation (DES). Four workstations (X1–X4) were selected as experimental factors, while system performance was evaluated using bottleneck indicators across six production stages (Y1–Y6). DOE was used to design capacity scenarios, and DES assessed system performance under each configuration. Results show that partial capacity increases at selected workstations are insufficient to fully eliminate bottlenecks. Complete elimination was achieved only in specific scenarios (Experiments 13–16), where all bottleneck indicators reached zero. Among these, Experiment 13 was identified as the optimal solution, as it eliminated all bottlenecks with the minimum additional capacity. These findings indicate that targeted capacity enhancement at critical workstations is an effective and economical strategy. The integration of DOE and DES proves to be a reliable data-driven approach for identifying bottlenecks and selecting optimal capacity improvements. This study also provides a structured and replicable framework for bottleneck analysis in apparel manufacturing, contributing to the limited application of DOE–DES integration in this sector.
Peningkatan Throughput Produksi Manufaktur dengan Simulasi DES dan Teknik Optimasi Taguchi Diki Muchtar
Jurnal Teknologika Vol 16 No 1 (2026): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v16i1.682

Abstract

Improving throughput in production is one of the main challenges in manufacturing systems. This study aims to enhance throughput by using Discrete Event Simulation (DES) combined with the Taguchi optimization technique to identify key factors influencing production performance. The simulation was conducted on a manufacturing production system with three tested factors: X1, X2, and X3, as well as two main responses: throughput (Y1) and bottleneck (Y2). Based on the simulation results, it was found that an increase in factor X3 significantly contributed to throughput improvement, while simultaneously reducing the bottleneck percentage, indicating better efficiency in the production line. For example, in experiment run 7 (X1 = 3, X2 = 0.4, X3 = 0.4), throughput reached 3,525 pieces, with a very low bottleneck percentage of 9.66%. Other simulation results also showed throughput improvements with reduced bottleneck, such as in runs 8 and 9, which had throughput of 3,524 pieces and 2,936 pieces, with bottleneck percentages of 19.66% and 15.66%, respectively, showing more optimal results. The Taguchi optimization technique was used to minimize variability and improve the quality of the production system output. The results of this study indicate that the combination of DES simulation and Taguchi optimization successfully increased production throughput significantly while reducing bottlenecks in the production process. This study contributes to the application of simulation and optimization in improving production efficiency in the manufacturing industry, with the hope that it can be adapted to various types of production systems.