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All Journal Journal of Engineering and Technological Sciences Syntax Literate: Jurnal Ilmiah Indonesia Mesin Jurnal Teknik Mesin Indonesia Indonesian Journal of Electrical Engineering and Computer Science International Journal of Innovation in Mechanical Engineering and Advanced Materials
Raharno, Sri
Institut Teknologi Bandung
Aerospace Engineering Humanities Automotive Engineering Control & Systems Engineering Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Enhancing Inventory Accuracy through Stock-Taking in Production Monitoring Systems for Workstations Muhammad Zulfahmi Febriansyah; Sri Raharno; Harry Prayoga Setyawan
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol. 6 No. 3 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i3.29151

Abstract

Industry 4.0 promotes the use of Cyber-Physical Systems (CPS) to improve production efficiency through seamless data exchange between virtual and physical components. However, in manual labor-driven environments, discrepancies between virtual stock data and actual material usage can create challenges for accurate production monitoring. This study focuses on addressing these discrepancies by integrating a stock-taking method into a production monitoring system. The system was implemented in an air conditioning train car assembly workshop, where differences of 2–3% between the predicted virtual stock and real-world quantities were identified. By applying the stock-taking method, virtual data were recalibrated to reflect real-time stock levels more accurately. The system's ability to track material usage and losses allowed for significant improvements in inventory accuracy, with immediate updates provided to the CPS. This approach minimizes human error in manual operations, ensuring that material predictions are more aligned with actual consumption. The results show that the implementation of the stock-taking method reduced the margin of error in stock predictions, improving overall production decision-making. These findings suggest that this method can enhance stock accuracy in manufacturing sectors, particularly in developing countries where manual labor is predominant. This study provides practical implications for optimizing material management and reducing production costs by leveraging CPS integration with stock-taking methods.
Co-Authors Ahmad’Abdan Syakuro Andi Arif Isyanto Andreas Hartoyo Yaputra Cipta Wijaya, Jeffry Aditya Dadang Rukanta Febriansyah, Muhammad Zulfahmi Hari Tjahjono Hari Utomo Harry Prayoga Setyawan Harry Prayoga Setyawan Ike Sri Rejeki Indrawanto Jam'ah Halid Jeffry Aditya Cipta Wijaya Kartikaningtyas, Dela Safitri Kusuma, Mipi Ananta Laulia Ariyani Rangkuti Martawirya, Yatna Yuwana Maulana Yusuf Mihradi, Sandro Muhammad Zulfahmi Febriansyah Reza Widianto Sudjud Setyawan, Harry Prayoga Syarif Hidayat Tatacipta Dirgantara, Tatacipta Tegoeh Tjahjowidodo Vani Virdyawan Yunendar Aryo Handoko