Ari Widyatmoko, Gatot Yudoko. "Proposed Inventory Management System to Reduce Slow Moving and Deadstock Level at PT. Pertamina JOB Tomori" International Research Journal of Economics and Management Studies, Vol. 3, No. 1, pp. 171-183, 2024.
This research focuses on JOB Tomori, a prominent gas producer in Indonesia, grappling with inventory management issues, particularly high levels of slow-moving and deadstock materials. The study aims to identify factors contributing to this problem and propose effective strategies for optimization. The root cause analysis reveals two main issues: the “run-to-failure” practice among end-users and the incomplete categorization of Material Criticality Ratings (MCR). Process-based, people-based, and technology-based solutions are proposed to address these challenges. Process-based solutions include the formulation of a process for MCR categorization and an evaluation of the current MCR categorization. People-based solutions involve training and awareness programs for end-users, emphasizing proper inventory management practices. Technology-based solutions encompass the implementation of an early warning system and the installation of banners or signs displaying real-time information about slow-moving and deadstock items. In conclusion, the research recommends a comprehensive approach involving the immediate implementation of short-term solutions, such as training and awareness, developing rewards and punishments, and evaluating MCR categorization. Long-term solutions, like integrating an early warning system, should be pursued within the next 1-2 years. These recommendations aim to enhance JOB Tomori’s inventory management practices, aligning with industry regulations and ensuring efficient operations while minimizing the risk of slow-moving and deadstock materials.
[1] Barsalou, M. A. (2015). Root Cause Analysis, A Step-By-Step Guide to Using the Right Tool at the Right Time. Taylor & Francis Group.
[2] Dettmer, W. H. (2007). The Logical Thinking Process. American Society for Quality.
[3] Fan, D., & Zhou, Y. (2018). Operational safety: The hidden cost of supply-demand mismatch in fashion and textiles-related manufacturers. International Journal of Production Economics, 198(October 2016), 70–78. https://doi.org/10.1016/j.ijpe.2018.01.008
[4] Ganeshan, R. (1999). Managing supply chain inventories: A multiple retailer, one warehouse, multiple supplier model. International Journal of Production Economics, 59(1), 341–354. https://doi.org/10.1016/S0925-5273(98)00115-7
[5] He, H., & Wang, S. (2019). Cost-benefit associations in consumer inventory problem with uncertain benefit. Journal of Retailing and Consumer Services, 51(August 2018), 271–284. https://doi.org/10.1016/j.jretconser.2019.06.013
[6] Hidayat, A. T. (2018). Proposed Procurement Strategy of Drilling Materials, Case Study: JOB Pertamina Medco E&P Tomori Sulawesi. Bandung Institute of Technology.
[7] Nugroho, A. B. (2019). Surplus Material Usage Optimization by Utilizing Database Management System. Bandung Institute of Technology.
[8] PwC. (2023). Oil and Gas in Indonesia. Taxation Guide. July.
[9] Rozhkov, M., & Ivanov, D. (2018). Contingency Production-Inventory Control Policy for Capacity Disruptions in the Retail Supply Chain With Perishable Products. IFAC-PapersOnLine, 51(11), 1448–1452. https://doi.org/10.1016/j.ifacol.2018.08.311
[10] skkmigas. (2022). Pedoman Tata Kerja 007. SKKMA000/2.
[11] SKK Migas. (2022). Annual Report, Upstream Oil and Gas Transformation.
[12] Snyder, R. (2002). Forecasting sales of slow and fast-moving inventories. European Journal of Operational Research, 140(3), 684–699. https://doi.org/10.1016/S0377-2217(01)00231-4
[13] Toomey, J. W. (2003). Inventory Management, Principles, Concepts, and Technique. Kluwer Academic Publisher.
[14] Tsourveloudis, N. C., Dretoulakis, E., & Ioannidis, S. (2000). Fuzzy work-in-process inventory control of unreliable manufacturing systems. Information Sciences, 127(1–2), 69–83. https://doi.org/10.1016/S0020-0255(00)00030-X
[15] Van Jaarsveld, W., & Dekker, R. (2011). Spare parts stock control for redundant systems using reliability-centered maintenance data. Reliability Engineering and System Safety, 96(11), 1576–1586. https://doi.org/10.1016/j.ress.2011.06.015
[16] Vrat, P. (2014). Materials Management, An Integrated System Approach. In Springer Texts in Business and Economics. Springer. https://doi.org/10.1201/9780849340970-12
Material Management, Inventory, Slow Moving, Deadstock, Oil and Gas.