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Strategi Pengendalian Inventory dengan Metode Pendekatan PDCA Pada Phase out Product Sebagai Upaya Mengurangi Deadstock di PT XYZ RM Temmy Arif Hidayat; Syafira Nur Aulia; Tito Adhy; Akmal Nazarudin; Yudi Prasetyo
Journal of Science, Technology, and Innovation Vol 1 No 2 (2025): December: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/1bgncd57

Abstract

This study aims to apply the PDCA (Plan, Do, Check, Act) method as a systematic strategy in inventory control for phase-out products to reduce deadstock at PT XYZ. The background of the study shows a significant increase in the amount of scrapping in the last three years due to the accumulation of uncontrolled deadstock. The research uses a qualitative descriptive approach with data collection techniques through observation, interviews, and historical company data. Through the PDCA stages, it was found that the main causes of deadstock stemmed from the inconsistency of phase-out control methods, manual monitoring processes by the PIC, and uncertainty in customer demand. The implementation of solutions in the form of standardizing control methods, digitizing inventory systems, and implementing an early warning system yielded significant results. The evaluation results showed that the improvement strategy was able to reduce the potential for deadstock by up to 80.7% in the sample product model. Thus, the PDCA method proved to be effective as a continuous improvement approach in inventory control during the product phase-out. This research is recommended to be applied more widely in inventory management in companies-.
Analysis of Delays in Production and Distribution Projects in Indonesia Using the Fishbone Diagram Method Rizal Deokosta; Muhammad Ifdol; Hilman Mubarik Aziz; Immanuel Wijaya Huwae; Yudi Prasetyo
Journal of Science, Technology, and Innovation Vol 1 No 3 (2026): : April: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/nneckx45

Abstract

The problem of defects in automotive components remains a major challenge in the manufacturing industry, as it directly impacts product quality, production process efficiency, and customer satisfaction. This research aims to analyze the most frequent types of defects in one automotive component, identify their root causes, and provide applicable improvement solutions. The study was conducted using a Quality Control Circle approach with the Pareto Diagram to prioritize defect types based on their frequency and impact, and the Fishbone Diagram to identify root causes based on the 4M+1E categories (Man, Machine, Method, Material, Environment).  The results show that rust and out-of-standard defects are the most dominant, generally caused by a lack of operator understanding, unstable machine conditions, non-standard work methods, and suboptimal raw material quality and work environment. Improvement recommendations include operator training, machine repair, work method adjustments, and production environment supervision. The implementation of these solutions has proven to significantly reduce defect rates and improve product quality. The integration of Pareto and Fishbone diagrams has proven effective as an applicable quality control strategy in the automotive industry.
Analisis Efisiensi Proses Drafting 2D Dies pada Empat Proses Dies Menggunakan Metode Diagram Fishbone melalui Integrasi Siemens NX 7.5 Avifan Septianto; Rafli Alfandi; Muhammad Iqbal; Akmal Arfie; Yudi Prasetyo
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 4 (2026): JUNI-JULI
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/fskne577

Abstract

The 2D dies drafting process in the manufacturing industry plays an important role in supporting tooling dies production. A common problem encountered is the use of different software platforms between Siemens NX for 3D modeling and AutoCAD for 2D drafting, resulting in longer processing times, potential data inconsistencies, and increased file storage requirements. This study aims to analyze the improvement of 2D dies drafting efficiency through full integration using Siemens NX 7.5. The method used in this research is the fishbone diagram method to identify the root causes of the problems. The research object involved four dies processes, with an initial average drafting time of 36 hours, which was reduced to 16 hours after implementation. The results showed an efficiency improvement of 55.6%, a reduction in the potential for data synchronization errors, and a decrease in additional software usage costs. The implementation of drafting standards, NX templates, work instructions, and internal training became the main factors contributing to the success of this improvement.