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Penerapan Overall Equipment Effectiveness (OEE) dan Reliability Centered Maintenance (RCM) dalam Meminimalkan Downtime Produksi Furnitur Ekspor Muhammad Alhafizh Yahya; Herlina Herlina
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.v9i2.58914

Abstract

PT. XYZ is an export furniture manufacturing company experiencing recurring downtime on Panel Saw and Spindle machines during July–December 2025, resulting in delays in product delivery. This study aims to measure machine effectiveness using the Overall Equipment Effectiveness (OEE) method and determine critical components through Reliability Centered Maintenance (RCM) based on Failure Mode and Effect Analysis (FMEA). The results show that the OEE values of the Panel Saw and Spindle machines are 84.3% and 88.3%, respectively. The dominant losses are caused by reduced speed losses and equipment failure. RCM analysis identifies v-belt and bearing components as critical components with the highest Risk Priority Number (RPN). The preventive maintenance strategy designed based on MTBF and MTTR values is expected to reduce downtime, improve machine availability, and minimize delays in export product delivery.
Analisis Pengendalian Kualitas Produk Iqro Kustom dengan Metode Six Sigma dan FMEA (Studi Kasus: CV Alquran Nuzula) Dimas Adi Prayitno; Herlina Herlina
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.v9i2.58974

Abstract

This study aims to identify the dominant defect type, determine the main causative factors of defects, and measure the defect reduction rate after improvement implementation based on the integration of Six Sigma (DMAIC) and Failure Mode and Effect Analysis (FMEA) methods. The research methodology follows the DMAIC stages: Define using a SIPOC diagram to map the production process; Measure using DPMO calculation, sigma level, and p-control chart; Analyze using Pareto diagram and fishbone diagram; Improve using the 5W+1H method; and Control through production process supervision. The analysis results show that the dominant defect type is cut QR code (28% of total defects). The average DPMO value is 3,519.48 with a sigma level of 4.20. FMEA analysis identified three priority causes with the highest RPN: not implementing the cutting SOP (RPN=336), incorrect print layout settings (RPN=315), and no alignment check (RPN=288). After implementing improvements in April 2026, the defect percentage successfully decreased to 0.96%, DPMO decreased by 60.97% to 1,373.63, and the sigma level increased to 4.49. Internal failure costs were reduced by 71.0%, from IDR 802,000 to IDR 234,000.
Analisis Pengendalian Persediaan Bahan Baku Bakpia dengan Sistem Min-Max untuk Efisiensi Biaya Persediaan pada UD. ABC Fanny Setiawan; Herlina Herlina
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.v9i2.58998

Abstract

UD. ABC is a bakpia producer located in Gempol, Pasuruan. The problem often experienced by producers with this make-to-stock system is the occurrence of excess and shortage of raw materials due to meeting unstable customer demand. This condition causes increased inventory costs, so more effective control efforts are needed. This study aims to reduce total inventory costs through the application of the min-max stock method. The research stages carried out include forecasting demand for the next 3 months to meet the amount of raw material requirements using the weighted moving average method, followed by determining safety stock, reorder points, and minimum and maximum stock limits. Then comparing the total inventory costs between the existing conditions and the proposed min-max method. The results of this study show that the application of the min-max stock method successfully reduced total inventory costs from Rp 10,296,672 to Rp 5,065,997, with an efficiency value of 51%. This method has proven effective as an inventory control solution in fluctuating demand conditions.
Analisis Line Balancing untuk Mencapai Efisiensi Kerja dengan Pendekatan Heuristic (Study Kasus: CV. XYZ) Amanah Isnaini; Herlina Herlina
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.v9i2.59065

Abstract

CV. XYZ is a promotional media manufacturing company facing workload imbalance in its neon box production process, particularly at the assembly work center. This study aims to analyze production line balancing using the Ranked Positional Weight (RPW), Kilbridge-Wester Heuristic, and Largest Candidate Rule (LCR) methods. The research data consist of 30 work elements with a total standard time of 3.143.527 seconds. The results show that the RPW method obtained a line efficiency of 80.15%, balance delay of 19.85%, and smoothing index of 356.712 seconds. The Kilbridge-Wester method resulted in a line efficiency of 72.14%, balance delay of 27.86%, and smoothing index of 481.83 seconds. The LCR method provided the best performance, with a line efficiency of 90.17%, balance delay of 9.83%, and smoothing index of 176.77 seconds. Therefore, LCR is recommended as the proposed line balancing improvement, supported by adding two workers to the assembly station to reduce bottlenecks.
Analisis Pengendalian Kualitas Menggunakan Metode Statistical Quality Control (SQC), RCA dan PDCA (Studi Kasus: PT. ABC) Diona Vita Ayu Ningrum; Herlina Herlina
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.v9i2.59072

Abstract

In a competitive industrial environment, manufacturing companies are required to produce high-quality products to maintain their market presence and competitiveness. PT. ABC, a manufacturer of CPP and VMCPP films, faced issues with a high product defect rate of 11% in January 2026, which exceeded the company's tolerance standard (<10%). This study aims to analyze quality control using an integrated method of Statistical Quality Control (SQC), Root Cause Analysis (RCA), and Plan-Do-Check-Act (PDCA) to identify root causes and formulate improvement solutions. The results of the study on a total production of 38,582,482 kg revealed 4,604,779 kg of defective products. Slack Band defects were the most dominant type, accounting for 1,144,042 kg (25%). The scatter diagram indicates a positive correlation between production volume and defects, while the p-control chart shows that the process remains statistically controlled despite one out-of-control point. Fishbone diagram and 5 Whys analyses indicate that the primary root causes stem from tension winding instability, machine conditions, operators, SOPs, materials, measuring tools, and the environment.
Optimasi Efektivitas Mesin Vacuum Foarming Sebagai Dasar Penentuan Prioritas Perbaikan Menggunakan Overall Equipment Effectiveness (OEE) Reynaldy Eka Saputra Wisnu Wardana; Herlina Herlina
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.v9i2.59088

Abstract

PT. XYZ is a manufacturing company engaged in plastic packaging processing. The research problem is the high level of machine downtime that affects production output and the achievement of company targets. The data used in this study were downtime data from August 2025 to January 2026. Overall Equipment Effectiveness (OEE) was used to measure availability, performance, and quality, while Mean Time Between Failure (MTBF) and Mean Time To Repair (MTTR) were applied to analyze machine reliability. Pareto diagrams and Failure Mode and Effect Analysis (FMEA) were used to identify the main causes of downtime and determine maintenance priorities. The results of this study are expected to support more effective maintenance strategies and improve production efficiency.
Peningkatan Pencapaian Target Produksi Kursi Lipat dan Kursi Susun Menggunakan Pendekatan Lean Manufacturing dan Line Balancing di PT XYZ Nadila Eka Anggini; Herlina Herlina
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.v9i2.59232

Abstract

PT XYZ faces challenges in achieving the daily production targets of folding chairs and stacking chairs due to the accumulation of Work in Process (WIP), unbalanced workloads among workstations, and high waiting times during the production process. This study aims to identify waste and analyze production line balance to improve production efficiency. The research was conducted on the folding chair and stacking chair production lines using the Lean Manufacturing approach with Process Activity Mapping (PAM) and Line Balancing methods. PAM was applied to identify Value Added (VA), Non-Value Added (NVA), and Necessary Non-Value Added (NNVA) activities, while Line Balancing was used to evaluate workload distribution among workstations. The results indicate that the largest wastes occur in waiting and inventory activities, particularly in the chrome-plating process, which causes waiting times of up to three days. Improvements through workload balancing and the reduction of non-value-added activities were able to increase efficiency and improve production flow, enabling production targets to be achieved more effectively.
Optimasi Perencanaan Produksi Untuk Minimasi Deviasi Produksi Serta Permintaan Dengan Pendekatan Goal Programming (Studi Kasus: Cv. Lantai Mas) Muhammad Dliya'ul Haq; Herlina Herlina
Indonesian Journal of Multidisciplinary on Social and Technology Vol. 4 No. 2 (2026): Maret - Juni
Publisher : PT Ilmu Data Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijmst.v4i2.9278

Abstract

Industri beton pracetak di Indonesia menghadapi tantangan signifikan akibat ketidakseimbangan antara produksi dan permintaan pasar yang fluktuatif. Penelitian ini bertujuan mengoptimalkan perencanaan produksi untuk meminimasi deviasi produksi serta permintaan pada CV. Lantai Mas, produsen beton pracetak di Bojonegoro yang memproduksi 38 varian produk. Metode penelitian mengintegrasikan klasifikasi ABC dan ADI-CV² untuk pemetaan prioritas produk, peramalan permintaan menggunakan Single Exponential Smoothing, Double Exponential Smoothing, Weighted Moving Average, dan Syntetos-Boylan Approximation, serta optimasi produksi dengan pendekatan Weighted Goal Programming. Selanjutnya, penjadwalan harian dilakukan menggunakan metode Finite Capacity Scheduling untuk memastikan kelayakan operasional. Hasil penelitian menunjukkan bahwa model Goal Programming berhasil mengurangi total produksi dari 2.565.453 unit menjadi 1.767.905 unit (penurunan 31,1%), menurunkan kebutuhan luas gudang paving dari 2.200 m² menjadi 1.109 m², dan mempertahankan keuntungan minimal Rp200.000.000 per bulan. Penjadwalan Finite Capacity Scheduling menghasilkan 268 hari produksi yang feasible selama 12 bulan dengan mempertimbangkan kapasitas mesin, hari kerja efektif, dan keterbatasan sumber daya.