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Optimasi Kualitas Proses Bending untuk Mengurangi Deformasi Produk Menggunakan Metode Seven Tools dan PDCA di Industri Manufaktur Sapto Yuli Nugroho; Muklisin Muklisin; Rudy Effendy Listyanto
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 2 (2026): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i2.55075

Abstract

The pipe bending process in the manufacturing industry, particularly for air conditioner (AC) components, often faces quality problems in the form of flattening (ovalization) and wrinkle defects, which can reduce product functionality and strength. Initial data show that the defect rate reached 8.2%, exceeding the company’s target of ≤ 3%. This study aims to reduce these defects by applying the PDCA (Plan–Do–Check–Action) method supported by the Seven Quality Control Tools. Data were collected from 18,000 production units during the January–March period using check sheets and analyzed using histograms, Pareto diagrams, and fishbone diagrams to identify dominant defects and their root causes. Improvement actions included adjusting bending machine parameters, modifying the mandrel design, developing and implementing Work Instructions, adding measuring tools, applying lubrication, and providing operator training. The results show a significant reduction in nonconforming products from 691 units to 37 units, equivalent to 0.21% of total production, with the bending process operating in a stable and statistically controlled condition. Thus, the integration of PDCA and the Seven Quality Control Tools is proven to be effective in improving quality and production efficiency.
Analisis Waste Supply Part Dengan Pendekatan Six Sigma DMAIC Davry Sandy Imandha; Syarah Rizkia Feriaty; Rudy Effendy Listyanto
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 5 No. 2 (2026): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v5i2.1861

Abstract

PT Toyota Boshoku Indonesia mengadopsi sistem Just in Time (JIT) guna memastikan efisiensi distribusi komponen. Namun, dalam pelaksanaannya masih dijumpai pemborosan berupa motion dan transportation yang memicu keterlambatan serta menurunkan produktivitas. Penelitian deskriptif kuantitatif-kualitatif ini bertujuan mengidentifikasi akar penyebab waste tersebut dan menyusun rekomendasi perbaikan menggunakan metodologi Six Sigma DMAIC. Data dikumpulkan melalui observasi, wawancara, dan dokumentasi, lalu dianalisis menggunakan alat kendali mutu seperti SIPOC, CTQ, histogram, Pareto, Fishbone, dan 5 Why. Hal ini terjadi karena ukuran trolley yang tidak memadai, layout lingkungan kerja yang kurang praktis, dan sistem kerja yang kurang efektif. Demi menekan angka pemborosan ini, dirumuskan strategi perbaikan yang meliputi pembaruan volume muatan trolley, redesain tata ruang operasional, serta penerapan SOP yang disertai dengan evaluasi berkala. Disimpulkan bahwa pendekatan Six Sigma DMAIC mampu mengidentifikasi akar masalah secara sistematis demi menciptakan proses distribusi yang berkelanjutan.
ANALISIS PENGENDALIAN DEFECT DEFORMASI PADA BRACKET SENSOR BLIND SPOT MONITORING (BSM) DENGAN METODE FMEA DAN SIKLUS PDCA DI PT XYZ Tahrim; Mukhlisin; Rudy Effendy Listyanto
Jurnal Teknik Industri Universitas Dirgantara Marsekal Suryadarma (Unsurya) Vol. 15 No. 1 (2026): JURNAL TEKNIK INDUSTRI
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jtin.v15i1.1870

Abstract

PT XYZ is one of the automobile assembly manufacturers in Indonesia that bears a significant responsibility to ensure every vehicle produced complies with international quality standards. One of the major challenges in the assembly process is the occurrence of deformation-type defects on the Blind Spot Monitoring (BSM) sensor bracket. This deformation may aris due to various factors, such as improper installation processes or inappropriate component handling conditions along the production line. If not properly controlled, deformation of the bracket not only degrades the functionality of the BSM sensor but also leads to increased repair costs, production delays, and potential product recalls, which could result in substantial financial losses for the company. Based on trace-back defect analysis, the defect was identified to originate in the body production and inspection departments, specifically at the right-hand (RH) side member line. Furthermore, the Failure Mode and Effects Analysis (FMEA) indicated that the factors with the highest Risk Priority Number (RPN), and therefore the main improvement priorities, were related to man (human factors) and method (process-related factors). Following the implementation of improvement actions, the deformation defect was successfully reduced and completely eliminated, achieving a 100% defect reduction, from 0.0024 defects per unit (d/u) to 0 d/u throughout the observation period.