Implementation of FSN Analysis and Periodic Review System for Inventory Management Improvement in Spare Parts Warehouse
DOI:
https://doi.org/10.5281/zenodo.21533846Keywords:
Community Service, Inventory Management, FSN Analysis, Periodic Review System, Dashboard MonitoringAbstract
Effective inventory management is essential for maintaining spare parts availability and ensuring high service levels in the automotive industry. PT IAMI, particularly the PSM Dept. and PC Dept. Bekasi, identified inventory management issues at its Medan Depot as a pilot project for inventory improvement. The depot initially achieved a fill rate of only 60%, below the company’s target of 70%, due to the absence of standardized spare parts classification, review period policies, replenishment planning, and an integrated monitoring system. To address these issues, a community service program was conducted by Telkom University through technical assistance in developing an inventory management framework. The program integrated Fast-Slow-Non Moving (FSN) Analysis, the Periodic Review System (R,s), and a dashboard-based inventory monitoring system using Microsoft Excel. The implementation stages included field observation, focus group discussion, operational data analysis, spare parts classification, inventory parameter calculation, dashboard development, and validation with the partner. The results showed that the proposed inventory policy improved the fill rate from 60% to 99%, exceeding the company target. In addition, the dashboard improved inventory visibility by displaying stock status, fill rate, safety stock, reorder warnings, and other operational indicators.
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Abideen, A. Z., Sorooshian, S., Sundram, V. P. K., & Mohammed, A. (2023). Collaborative insights on horizontal logistics to integrate supply chain planning and transportation logistics planning: A systematic review and thematic mapping. Journal of Open Innovation: Technology, Market, and Complexity, 9(2), 100066. https://doi.org/10.1016/j.joitmc.2023.100066
Ameer, T., & Fatahi Valilai, O. (2025). Cloud-native causal AI for supply chain KPI monitoring: A GCP framework to diagnose out-of-stock events. Machine Learning with Applications, 22, 100765. https://doi.org/10.1016/j.mlwa.2025.100765
Babiloni, E., & Guijarro, E. (2020). Fill rate: From its definition to its calculation for the continuous (s, Q) inventory system with discrete demands and lost sales. Central European Journal of Operations Research, 28(1), 35–43. https://doi.org/10.1007/s10100-018-0546-7
Chopra, S., & Meindl, P. (2022). Supply Chain Management: Strategy, Planning, and Operation (8th ed.). Pearson.
Demiray Kırmızı, S., Ceylan, Z., & Bulkan, S. (2024). Enhancing inventory management through safety-stock strategies: A case study. Systems, 12(7), 260. https://doi.org/10.3390/systems12070260
Destro, I. R., Staudt, F. H., Somensi, K., & Taboada, C. (2023). The impacts of inventory record inaccuracy and cycle counting on distribution center performance. Production, 33, e20220077. https://doi.org/10.1590/0103-6513.20220077
Filani, O. M., Olajide, J. O., & Osho, G. O. (2020). Designing an integrated dashboard system for monitoring real-time sales and logistics KPIs. International Journal of Multidisciplinary Research and Growth Evaluation, 1(5), 77–83. https://doi.org/10.54660/IJMRGE.2020.1.5.77-83
Govindan, K., Soleimani, H., & Kannan, D. (2015). Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future. European Journal of Operational Research, 240(3), 603–626. https://doi.org/10.1016/j.ejor.2014.07.012
Ivanov, D. (2023). Supply Chain Management in the Era of Industry 4.0. Springer.
Nahmias, S., & Olsen, T. L. (2015). Production and Operations Analysis (7th ed.). Waveland Press.
Pournader, M., Shi, Y., Seuring, S., & Koh, S. C. L. (2020). Blockchain applications in supply chains, transport and logistics: A systematic review. International Journal of Production Research, 58(7), 2063–2081. https://doi.org/10.1080/00207543.2019.1650976
Queiroz, M. M., Wamba, S. F., & Fosso Wamba, S. (2021). Digital supply chain management: A systematic review and future research agenda. International Journal of Information Management, 58, 102245. https://doi.org/10.1016/j.ijinfomgt.2020.102245
Raut, R. D., Mangla, S. K., Narwane, V. S., Dora, M., & Liu, M. (2021). Big data analytics as a mediator in Lean, Agile, Resilient, and Green supply chain practices. International Journal of Production Economics, 237, 108199. https://doi.org/10.1016/j.ijpe.2021.108199
Roda, I., Macchi, M., Fumagalli, L., & Viveros, P. (2014). A review of multi-criteria classification of spare parts. Journal of Manufacturing Technology Management, 25(4), 528–549. https://doi.org/10.1108/JMTM-07-2012-0063
Silver, E. A., Pyke, D. F., & Thomas, D. J. (2017). Inventory and Production Management in Supply Chains (4th ed.). CRC Press.
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Copyright (c) 2026 Gisti Ayu Pratiwi, LEO KRISTIANA, S.T., M.T., Putu Giri Artha Kusuma, GRASS ADITYA PRINGGODANI, Theresia Jeremia Purba, Irza Farhand (Author)

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