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All Journal Industrika : Jurnal Ilmiah Teknik Industri Indonesian Journal of Innovation Studies
Armevia, Nazwa Rifqi
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice

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Analisis Pengendalian Kualitas Produk Pakan Ternak pada PT XYZ dengan Metode Six Sigma dan FMEA Armevia, Nazwa Rifqi; Nugraha, Isna
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 3 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v9i3.2148

Abstract

Product quality has an important role in maintaining customer trust and the sustainability of the company. PT XYZ, which produces various types of animal feed, faces the problem of defects in pellet products, such as different feed size shapes, hot feed temperatures, and uneven feed colors. These defects not only affect production efficiency but can also reduce customer satisfaction. This research needs to be carried out so that PT XYZ can identify the cause of the defect and provide improvement proposals using the Six Sigma method through the DMAIC (Define, Measure, Analyze, Improve, Control) stage with Failure Mode and Effect Analysis (FMEA). The results showed that the main causes of defects were unstable engine condition, suboptimal cooling system, and dirty or worn engines, with the highest RPN values of 504, 210, and 448, respectively. The proposed improvements include standardization of engine settings, routine maintenance, and machine cleaning before use. The implementation of this recommendation is expected to improve product quality, reduce defects, increase operational efficiency, and strengthen the company's competitiveness. In addition, this research also provides continuous guidance for PT XYZ in managing a more standardized and quality production process to achieve a competitive advantage in the market. Keywords: DMAIC, FMEA, Product Quality, Six Sigma  
ABC–FSN Min–Max Method to Reduce Lubricating Oil Inventory Cost: Metode Min–Max ABC–FSN untuk Mengurangi Biaya Persediaan Oli Pelumas Armevia, Nazwa Rifqi; Aryanny, Enny
Indonesian Journal of Innovation Studies Vol. 27 No. 2 (2026): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i2.1957

Abstract

General Background: Inventory control is a critical operational function to maintain cost efficiency and balance between stockout and overstock conditions in spare parts management. Specific Background: PT XYZ, a port heavy equipment spare parts provider, experienced excessive lubricating oil orders, leading to overstock levels of up to 21.2% and increased total inventory costs. Knowledge Gap: Prior studies on ABC–FSN and min–max stock primarily rely on historical data, resulting in static inventory parameters that insufficiently address future demand fluctuations. Aims: This study aims to control lubricating oil inventory by integrating ABC–FSN classification, min–max stock policy, and time series forecasting to minimize total inventory costs. Results: ABC–FSN analysis identified two Fast-A items, CC-0442 and CC-0444, as priority products. The company’s method generated total inventory costs of Rp 22,195,200, whereas the min–max stock method reduced costs to Rp 16,936,576, yielding savings of Rp 5,258,624 (23.69%). Forecasting for January–December 2026 produced average monthly demands of 2,439 liters for CC-0442 and 1,413 liters for CC-0444, resulting in order quantities of 1,000 liters every 8 days and 600 liters every 9 days, with projected total costs of Rp 15,416,000. Novelty: The integration of ABC–FSN classification with forecasting-based min–max parameters provides a more adaptive inventory control framework. Implications: The proposed approach supports systematic prioritization, cost minimization, and responsive inventory planning for lubricating oil management. Highlights: Fast-A prioritization identified CC-0442 and CC-0444 as critical high-turnover, high-value items. Cost comparison revealed savings of Rp 5,258,624 (23.69%) versus the existing practice. Forecast-based planning established 8-day and 9-day replenishment cycles for 2026. Keywords: ABC-FSN, Forecasting, Inventory Control, Min Max Stock
Co-Authors Enny Aryanny Nugraha, Isna