Perencanaan Jadwal Distribusi Produk Radio Ke Wilayah Eropa dengan Metode Distribution Requirement Planning (DRP) di PT. X
DOI:
https://doi.org/10.31004/jutin.v8i4.51433Keywords:
Distribution Requirements Planning, Cost Efficiency, Distribution Schedule, Supply Chain, International LogisticsAbstract
This study aims to analyze the distribution schedule planning of radio products to the European region using the Distribution Requirement Planning (DRP) method at PT. X. The main problem faced by the company is the high distribution costs due to the suboptimal delivery schedule. The study was conducted from February to May 2025 using a quantitative descriptive approach with primary data in the form of observations and interviews and secondary data including product demand, inventory, lead time, and logistics costs. The results of the analysis show that the DRP method is able to produce a more efficient distribution schedule with a total cost of Rp14,236,002, compared to the previous method of Rp29,764,423, or a savings of 52%. Thus, the implementation of DRP is proven to increase cost efficiency, optimize container capacity, and support the smoothness of the company's international distribution.References
Arifin, J. Z., & Aristriyana, E. (2023). Perencanaan distribusi makanan ringan dengan metode Distribution Requirement Planning (DRP) di PD. Kurnia Ciamis. Jurnal Industrial Galuh, 2(2), 63–70. https://doi.org/10.25157/jig.v2i2.2968
Asrol, M. (2024). Industry 4.0 adoption in supply chain operations: A systematic literature review. International Journal of Technology, 15(3), 544–560. https://doi.org/10.14716/ijtech.v15i3.5958
Dira Ernawati, & Syaifullah, H. (2022). Analisa fluktuasi bullwhip effect dalam penerapan metode Distribution Requirement Planning (DRP) di PT XYZ. JUMINTEN, 3(3), 61–72. https://doi.org/10.33005/juminten.v3i3.414
Ernawati, D., & Syaifullah, H. (2022). Analisa fluktuasi Bullwhip Effect dalam penerapan metode Distribution Requirement Planning (DRP) di PT. XYZ. JUMINTEN: Jurnal Manajemen Industri dan Teknologi, 3(3), 61–72. https://doi.org/10.33005/juminten.v3i3.414
Febrianto, E., Hunusalela, Z. F., & Prasasty, A. T. (2020). Penerapan metode Distribution Requirement Planning untuk meminimasi biaya distribusi PT Sekeluarga. Jurnal Rekayasa Sistem Industri, 6(1). https://doi.org/10.33884/jrsi.v6i1.2016
Fu, C., & Shuai, Z. (2024). Manufacturing enterprise’s logistics operational cost simulation and optimization from the perspective of inter-firm network. Journal of Industrial Engineering and Management. https://doi.org/10.3926/jiem.1444
Garside, A. K. (2010). Penerapan Distribution Requirement Planning (DRP) pada Central Warehouse PT Coca Cola Amatil Bottle Pandaan. Jurnal Teknik Industri, 2(1), 47–58. https://doi.org/10.22219/JTIUMM.Vol2.No1.47-58
Kusuma Ningrat, N., & Aristriyana, E. (2023). Penerapan metode Distribution Requirement Planning (DRP) dalam penjadwalan distribusi produk di UKM SB Jaya Ciamis. Jurnal Industrial Galuh, 5(2), 92–105. https://doi.org/10.25157/jig.v5i2.3308
Lestari, F., Ramadhani, T., & Nurhadi, A. (2022). Integrating cross-departmental interviews for accurate logistics data analysis. Indonesian Journal of Logistics and Transportation, 6(1), 45–54.
Li, J., Chen, X., & Luo, Y. (2023). Empirical study on logistics process mapping and optimization in manufacturing industries. Journal of Supply Chain Systems, 45(2), 77–89.
Liu, C. (2024). Intelligent logistics supply chain management: Cost management and service quality improvement. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-3201
Masudin, I., Saputro, T. E., Arasy, G., & Jie, F. (2019). Reverse logistics modeling considering environmental and manufacturing costs: A case study of battery recycling in Indonesia. International Journal of Technology, 10(1), 189–199. https://doi.org/10.14716/ijtech.v10i1.2164
Nursyifa, N., Febrianti, A., Chalia, M. C., & Sasmita, A. H. (2023). Strategies to improve logistics cost efficiency in Indonesia. Journal of Logistics and Supply Chain, 3(1), 23–34. https://doi.org/10.55927/ijba.v3i3.4566
Peterson, Z. (2023, 11 May). Why electronic manufacturing costs are dependent on logistics and sourcing. Electronics360.
Santoso, S., Nurhidayat, R., Mahmud, G., & Arijuddin, A. M. (2021). Measuring the total logistics costs at the macro level: A study of Indonesia. Logistics, 5(4), 68. https://doi.org/10.3390/logistics5040068
Saragiha, N. I., & Turnip, P. (2024). Measurement model for national logistics cost of Indonesia. Journal Industrial Services, 10(2).
Sugito, E., & Kusrini, E. (2023). Enhancing company productivity through information sharing in supply chain implementation. Jurnal Teknik Industri, 24(2), 109–126. https://doi.org/10.22219/JTIUMM.Vol24.No2.109-126
Suwanda, S. (2023). Implementation of supply chain management to reduce production costs. Jurnal Ekonomi, 12(04), 2585–2590.
Turnip, P., Saragiha, N. I. (2024). Measurement model for national logistics cost of Indonesia. Journal Industrial Services, 10(2).
Valverde, R., & Saadé, R. G. (2015). The effect of e-supply chain management systems in the North American electronic manufacturing services industry. J. Theor. Appl. Electron. Commer. Res., 10(1), 79-98.
Wangsa, I. D., Vanany, I., & Siswanto, N. (2022). An optimization model for fresh-food electronic commerce supply chain with carbon emissions and food waste. Journal of Industrial and Production Engineering.
Zenal Arifin, J., & Aristriyana, E. (2023). Perencanaan distribusi makanan ringan dengan metode Distribution Requirement Planning (DRP) di PD. Kurnia Ciamis. Jurnal Industrial Galuh, 2(2), 63–70. https://doi.org/10.25157/jig.v2i2.2968
Zhang, T., Xu, W., & Li, P. (2024). Hybrid forecasting and DRP integration for global distribution network optimization. Journal of Industrial Management and Production Systems, 48(1), 102–117.
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