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All Journal Syntax Literate: Jurnal Ilmiah Indonesia International Journal of Innovation in Mechanical Engineering and Advanced Materials
Raharno, Sri
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Humanities Automotive Engineering Education Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Review On Layout Optimization For Rollingstock Maintenance Depot Kartikaningtyas, Dela Safitri; Raharno, Sri; Handoko, Yunendar Aryo
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i1.17307

Abstract

This review paper discusses the importance of having an optimal layout for rollingstock maintenance depots to optimize rollingstock maintenance in improving maintenance efficiency and reducing maintenance costs while maintaining the availability and reliability of railway vehicles. The current problems in rollingstock maintenance depots faced by railway industry are limited land availability, limited storage space, material handling issues, and the lack of standards for train maintenance depot layouts. The paper also presents classification criteria and categories on layout planning and maintenance optimization approach for rollingstock maintenance depots based on various recent studies including the methods used and the results obtained. Finally, this review paper proposes guidelines for future research on rollingstock maintenance depots in Indonesia as decision-making that considers the economic factors of layout optimization and the implications for safety and the environment of maintenance activities. This could also help improve the company's reputation as well as prepare for future expansion
Enhancing Inventory Accuracy through Stock-Taking in Production Monitoring Systems for Workstations Febriansyah, Muhammad Zulfahmi; Raharno, Sri; Setyawan, Harry Prayoga
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 Febriansyah, Muhammad Zulfahmi Handoko, Yunendar Aryo Kartikaningtyas, Dela Safitri Setyawan, Harry Prayoga