Pengembangan Model Sistem Dinamis Suppy Chain di PT XYZ
DOI:
https://doi.org/10.61132/manufaktur.v2i3.500Keywords:
Dynamic System Modeling, Supply Chain, Stock Flow DiagramAbstract
PT.XYZ is an automotive company that has been operational since 1970, with over 400 suppliers for key components such as Stoper A and Stoper B. Annually, Stoper A sells 151,000 units (valued at IDR 4.077 billion), while Stoper B reaches 300,000 units (valued at IDR 8.100 billion). This research focuses on analyzing and optimizing the supply chain for these components, using sales data from January to December 2022. The goal is to create stock and flow diagrams, analyze the supply chain system modeling, and propose optimal scenarios for demand fulfillment. The modeling results indicate that a strategy of adding a 20% safety stock to the average sales is highly effective in preventing lost sales without burdening suppliers with overtime. However, the potential for overstock needs to be monitored. Based on the analysis, the second scenario proposing the addition of safety stock is recommended due to its effectiveness in meeting demand and efficiently managing inventory. This scenario is deemed most suitable for PT. XYZ in maintaining a balanced supply without unnecessary surplus.
References
Banks, J., Carson, J. S., Nelson, B. L., & Nicol, D. M. (2004). Discrete event system simulation (3rd ed.). Prentice Hall.
Chopra, S., & Meindl, P. (2004). Supply chain management. New Jersey: Pearson Education.
Christopher, M., & Peck, H. (2004). Building the resilient supply chain. The International Journal of Logistics Management, 15(2), 1-13.
Croson, R., & Donohue, K. (2003). Impact of POS data sharing on supply chain management: An experimental study. Production and Operations Management, 12(1), 1-11.
Disney, S. M., & Towill, D. R. (2003). The effect of vendor managed inventory (VMI) dynamics on the bullwhip effect in supply chains. International Journal of Production Economics, 85(2), 199-215.
Hariyati. (2018). Pengukuran performansi supply chain management (SCM) dengan menggunakan supply chain operation reference (SCOR) berbasis analytical hierarchy process (AHP) dan objective matrix (OMAX).
Ivanov, D., Sokolov, B., & Dolgui, A. (2014). The ripple effect in supply chains: Trade-off 'efficiency-flexibility-resilience' in disruption management. International Journal of Production Research, 52(7), 2154-2172.
Lee, H. L., & Whang, S. (2000). Information sharing in a supply chain. International Journal of Technology Management, 20(3-4), 373-387.
Lina, & Lena. (2018). Supply chain management: Perencanaan, proses, dan kemitraan. Bandung: Alfabeta.
Ma’arif, S., & Tanjung, H. (2003). Manajemen operasi. Jakarta: PT Grasindo.
Prahasta, E. (2018). System thinking & pemodelan sistem dinamis untuk pemula. Bandung: Informatika.
Pujawan, I. N., & Laudine, H. G. (2009). A model for proactive supply chain risk management. Business Process Management Journal, 15, 953-967.
Sheffi, Y. (2005). Preparing for the big one. IEEE Engineering Management Review, 33(1), 19-26.
Simchi-Levi, D., Kaminsky, P., & Simchi-Levi, E. (2000). Designing and managing the supply chain: Concepts, strategies, and case studies. Journal of Business Logistics, 21(2), 153-174.
Sterman, J. D. (2000). Business dynamics: Systems thinking and modeling for a complex world. Journal of Business and Economic Statistics, 20(3), 427-429.
Tang, C. S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics, 103(2), 451-488.
Tang, O., & Nurmaya Musa, S. (2011). Identifying risk issues and research advancements in supply chain risk management. International Journal of Production Economics, 133(1), 25-34.
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