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Sistem inventory pengendalian persediaan fast moving spare part dump truck barbasis metode min-max stock Nurul Hidayati; Braam Delfian Prihadianto
Jurnal Teknik Mesin Indonesia Vol. 18 No. 2 (2023): Jurnal Teknik Mesin Indonesia
Publisher : Badan Kerja Sama Teknik Mesin Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36289/jtmi.v18i2.503

Abstract

Maintenance management encompasses a series of activities that include planning, directing, implementation, control, and evaluation aimed at improving the condition of specific facilities to achieve predefined targets. This research aims to analyze the demand levels for fast-moving spare parts in dump truck units, determine the minimum and maximum spare parts inventory levels required in the warehouse, and provide recommendations to PT AHG regarding spare parts inventory management based on the min-max method with the development of a safety inventory information system. In the company's previous management, no systematic approach was applied to address these fluctuations, and it needs to be developed through a more adaptive method. The research methodology employed is quantitative, integrating inventory management with other policies, including observation, interviews, and data collection and processing. The data used includes spare parts usage data from January to December 2022, focusing on oil filters, fuel filters, and brake pads in dump truck units. The analysis results indicate significant fluctuations in the demand levels of fast-moving spare parts in dump trucks throughout the period from January to December 2022, especially at the beginning and end of the year. These fluctuations are likely influenced by seasonal factors, holiday periods, and the requirements of new projects affecting the demand for spare parts in maintenance and repair activities.
Analisis Cacat Produk Dimensi Diameter Snap Tidak Standar pada Botol 100 ml Berbahan Dasar High-Density Polyethylene (HDPE) Achmad Afiq Ananda Putra; Widia Setiawan; Braam Delfian Prihadianto; Galuh Bahari
Jurnal Engine: Energi, Manufaktur, dan Material Vol. 9 No. 1 (2025)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v9i1.2152

Abstract

Extrusion blow molding is a process used to form plastic bottles, with High-Density Polyethylene (HDPE) being the most commonly used material. A defect in the snap diameter that did not meet the standard was identified during the production of 100 ml bottles at PT X Jakarta, potentially reducing product quality and affecting its functionality. This study aims to identify the root causes of this defect and propose corrective actions and improvements to enhance product quality. The methodology includes using a Fishbone Diagram to determine the root causes, applying the 5W+1H analysis to develop corrective action proposals, and implementing the Poka-Yoke method as an improvement strategy. The findings indicate that the defects are caused by three main factors: human, method, and machine. Human-related factors include a lack of operator understanding of quality standards, insufficient training, and a limited number of technicians. Method-related factors involve inadequate maintenance and improper bottle handling, while machine-related factors include mold dimension changes, dirty die heads, and the need for machining parameter adjustments. The proposed corrective actions for human factors involve regular training, the provision of Standard Operating Procedures (SOPs), visual guidelines, and additional technicians. Machine-related improvements include periodic inspections, die head cleaning, and machining parameter testing, while method-related improvements focus on scheduled preventive maintenance and proper bottle runner arrangement. Further improvements involve implementing the Poka-Yoke method by installing an alarm siren that activates when air compressor pressure falls below the standard and adding markings to help operators better understand machine parameters during production.