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Journal : Journal La Multiapp

Analysis of Phonska Fertilizer Product Quality Control Using Seven Tools Method With Fmea: A Case Study Ariestiyani, Fitria Novi; Safirin, Moch. Tutuk
Journal La Multiapp Vol. 6 No. 1 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i1.1850

Abstract

This study aims to analyze the quality control of Phonska fertilizer products at Phonska Warehouses II and III of PT Petrokimia Gresik using the Seven Tools and Failure Mode and Effects Analysis (FMEA) methods. Seven Tools are used to identify and map the root causes of production defects through Pareto diagrams, cause-and-effect diagrams, and control charts, while FMEA is used to measure and mitigate potential failures in the production process. The study was conducted during the period April to October 2024 with product defect data collected and analyzed. The results showed that the main defects were no coating oil (34%) followed by mesh (29%), caking (24%), and no color pigment (13%). The implementation of corrective steps based on Seven Tools and FMEA has proven effective in reducing product defects to increase production efficiency and the quality of Phonska fertilizer.
Quality Control of Paint Tube Products Using Six Sigma and FMEA Methods Khunaifi, Nasywa Shabrina; Safirin, Moch. Tutuk
Journal La Multiapp Vol. 6 No. 1 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i1.1852

Abstract

PT XYZ is facingproduct quality challenges, especially visual defects in 25 kg pail tubes such as unmold tubes, jetting tubes, and IML on overlapping tubes with unmold tubes reached 55%. This study aims to analyze the main causes of defects in paint tube products at PT XYZ. The methods used are Six Sigma and FMEA with secondary data from the type of 25 kg tube defects in the last 3 months, involving 15 samples with 3 types of defects. The results show that material, mold, machine, and human factors contribute to defects. The Six Sigma value is 3.36, which is below standard. Recommendations for quality improvement are given to reduce the defect rate, with the highest RPN being 240 for unmold tubes.