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Measuring Green Supply-Chain Performance Using the Green SCOR Approach at the IKM Gallery of Malang Regency Sunday Noya; Luigi Takaria
Jurnal Rekayasa Sistem & Industri Vol 9 No 02 (2022): Jurnal Rekayasa Sistem & Industri
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v9i02.566

Abstract

Measurable supply chain management is a method to improve supply chain performance in Small andMedium Industries (IKM). This research was conducted through field observations to discover theproblems of the supply chain system in the IKM Gallery Kab. Malang. Using the Green SCORmeasurement concept, Key Performance Indicators (KPI) are determined which will be used as the basisfor measuring supply chain performance. The three main components in the IKM Gallery used asmeasurement indicators are (1) Deliver, consisting of Deliver Quantity Accuracy, Shipping DocumentAccuracy, and Deliver Cycle Time; (2) Return, consisting of Percent of Complaint Regarding MissingEnvironmental Requirements from Product and Percent of Error-Free Return Ship; and (3) Enable,consisting of Percent of Employee Educated in Environmental Requirements. KPI is used to calculate theSNORM normalization value which indicates the performance level. The calculation results show that thefinal performance value of all components is 79.16 which is classified in the "Good" category.
Quality Improvement of X Brand Tube Packaging PT XYZ Using the Six Sigma Method and Failure Mode and Effect Analysis (FMEA) Oxamudra, Levana; Noya, Sunday; Ekawati, Yurida; Putrianto, Novenda Kartika; Oktiarso, Teguh; Purnomo, Purnomo
Jurnal Sains dan Aplikasi Keilmuan Teknik Industri (SAKTI) Vol. 5 No. 02 (2025): December 2025
Publisher : Teknik Industri Universitas Ma Chung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33479/sakti.v5i02.167

Abstract

PT XYZ is a manufacturing company producing cosmetic products, including 180 ml lotion packaged in tubes. Production data from January to July 2024 indicate an average defect rate of 0.82%, exceeding the company’s maximum tolerance limit of 0.8%. This study aims to evaluate process performance using the sigma level, identify the root causes of packaging defects, and propose effective quality improvement measures. The research employs the Six Sigma methodology integrated with Failure Mode and Effect Analysis (FMEA) through the DMAIC (Define, Measure, Analyze, Improve, and Control) framework. The results identify four dominant defect types: unsealed sealing, damaged caps, damaged batches, and dented containers. The initial process performance shows an average sigma level of 3.27, indicating suboptimal quality conditions. FMEA results reveal that the primary causes of defects are worn machine components, imprecise dosing and sealing mechanisms, and the absence of standardized work instructions. Improvement actions include replacing critical machine components, optimizing machine parameters, implementing bulk material viscosity control, and installing a leakage tester. Post-implementation evaluation demonstrates a significant improvement in quality performance, with the sigma level increasing to 4.30 and the average defect rate decreasing by 96.65%. These findings confirm that the integration of Six Sigma and FMEA is effective in reducing packaging defects and enhancing process stability in cosmetic manufacturing.
Application of Total Productive Maintenance and Overall Equipment Effectiveness in Improving Ampoule Filling Machine Performance: A Case Study in a Pharmaceutical Manufacturing Rohmah, Mufidah Erngganis Devia; Noya, Sunday; Putrianto, Novenda Kartika
Jurnal Sains dan Aplikasi Keilmuan Teknik Industri (SAKTI) Vol. 5 No. 02 (2025): December 2025
Publisher : Teknik Industri Universitas Ma Chung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33479/sakti.v5i02.168

Abstract

This study aims to improve the effectiveness of ampoule filling machines in a pharmaceutical manufacturing company through the implementation of Total Productive Maintenance (TPM) supported by Overall Equipment Effectiveness (OEE) evaluation. The study was motivated by a decline in machine performance during the period from January to August 2024, characterized by low production output, high downtime, and high defect rates. A quantitative research approach was employed using primary and secondary data collected from 30 production batches through field observations, interviews, and documentation review. Machine effectiveness was evaluated using OEE, which consists of availability, performance, and quality components, while efficiency losses were identified using the Six Big Lossesframework. Root causes were analyzed using a Fishbone diagram, and improvement actions were formulated based on relevant TPM pillars. The results show that the initial average OEE value was 56%, significantly below the world-class benchmark of 85%, with breakdown losses and quality defect losses identified as the dominant contributors to inefficiency. After implementing TPM-based improvements—specifically the replacement and recalibration of malfunctioning swing conveyor sensors and the redesign of the ampoule outfeed system—the average OEE value increased to 71.9%. Improvements were also observed in the OEE components, with availability increasing to 86.5%, performance to 92.0%, and quality to 90.5%. These results indicate a substantial reduction in downtime and defect rates. The study confirms that the integration of TPM and OEE is effective in enhancing machine effectiveness and production efficiency in sterile pharmaceutical manufacturing.