Pengaruh Kebijakan Reorder Point Adaptif Terhadap Ketersediaan Persediaan Dan Biaya Pengadaan Di Koperasi Simpan Pinjam: Studi Simulasi
DOI:
https://doi.org/10.47134/jacis.v6i1.137Keywords:
Reorder Point Adaptif, Manajemen Persediaan, Simulasi Monte Carlo, Service level, ERP Koperasi.Abstract
Ketersediaan persediaan operasional seperti formulir, buku simpanan, dan dokumen cetak merupakan komponen penting dalam menjaga kelancaran layanan administrasi pada Koperasi Simpan Pinjam (KSP). Namun, kebijakan Reorder Point (ROP) statis yang umum digunakan belum mampu mengakomodasi fluktuasi permintaan serta variasi lead time, sehingga berpotensi menimbulkan stockout maupun overstock. Penelitian ini bertujuan merancang dan mengevaluasi efektivitas kebijakan ROP adaptif sebagai alternatif yang lebih responsif terhadap dinamika operasional KSP XYZ. Metode yang digunakan meliputi simulasi Monte Carlo selama 365 hari dengan 100 replikasi, yang membandingkan empat skenario pengendalian persediaan: ROP statis, Moving Average, Exponentially Weighted Moving Average (EWMA), dan pendekatan berbasis tingkat layanan (service level-based). Evaluasi kinerja dilakukan menggunakan indikator service level, total biaya pengadaan, dan frekuensi stockout. Hasil simulasi menunjukkan bahwa kebijakan ROP adaptif, khususnya model service level-based, mampu meningkatkan service level dari 91,3% menjadi 97,4% serta menurunkan total biaya pengadaan sebesar 12,4% dibandingkan kebijakan statis. Temuan ini mengindikasikan bahwa integrasi kebijakan ROP adaptif dengan data historis ERP dapat meningkatkan efisiensi pengadaan serta kualitas layanan, dan dapat menjadi rekomendasi implementatif bagi koperasi dalam mengembangkan sistem pengendalian persediaan yang lebih cerdas dan berbasis data
References
[1] P. Kalaya et al., “Forecasting and Inventory Planning for Irregular Demand Patterns : The Case of Community Hospitals in Thailand,” Int. J. Knowl. Syst. Sci., vol. 14, no. 1, pp. 1–21, 2023, doi: 10.4018/IJKSS.328678. DOI: https://doi.org/10.4018/IJKSS.328678
[2] R. Tierney, W. Hermina, and S. Walsh, “The pharmaceutical technology landscape: A new form of technology roadmapping,” Technol. Forecast. Soc. Change, vol. 80, no. 2, pp. 194–211, 2013, doi: 10.1016/j.techfore.2012.05.002. DOI: https://doi.org/10.1016/j.techfore.2012.05.002
[3] N. A. Nafi and M. C. P. A. Islami, “Analisis Perhitungan Dalam Optimalisasi Manajemen Inventori Pada Pengadaan Bahan Baku dengan Metode Safety Stock di PT ABC,” J. Serambi Eng., vol. 10, no. 1, 2025.
[4] O. Vicil, “Optimizing stock levels for service ‑ differentiated demand classes with inventory rationing and demand lead times,” Flex. Serv. Manuf. J., vol. 19 Maret, 2020, doi: 10.1007/s10696-020-09378-4. DOI: https://doi.org/10.1007/s10696-020-09378-4
[5] S. Maitra, V. Mishra, and S. Kundu, “A Novel Approach with Monte-Carlo Simulation and Hybrid Optimization Approach for Inventory Management with Stochastic Demand,” arXiv, vol. Okober 202, 2022, doi: 10.48550/arXiv.2310.01079.
[6] Z. L. Jin, M. Maasoumy, Y. Liu, Z. Zheng, and Z. Ren, “Stochastic Optimization of Inventory at Large-scale Supply Chains,” arXiv, vol. 16 Februar, 2025, doi: 10.48550/arXiv.2502.11213.
[7] M. Islam, “Data-Driven Risk Forecasting Applications to Supply Chain Management,” University of Manitoba, Winnipeg, Manitoba, 2023.
[8] S. C. Graves, “A Single-Item Inventory Model for a Non-Stationary Demand Process.”
[9] N. Trong, T. R. I. Duc, P. D. U. C. Tai, and J. Buddhakulsomsiri, “Inventory Positioning in Supply Chain Network : A Service-Oriented Approach,” IEEE Access, vol. 10, no. August, pp. 92986–93002, 2022, doi: 10.1109/ACCESS.2022.3202906. DOI: https://doi.org/10.1109/ACCESS.2022.3202906
[10] S. Sivankutty and B. Elahi, “Proposing a New Dynamic Safety Stock Adjustment System : Balancing Service Level Targets and Financial Constraints,” in Proceedings of the International Conference on Industrial Engineering and Operations Management 9th, 2024, pp. 631–642. doi: 10.46254/NA09.20240162. DOI: https://doi.org/10.46254/NA09.20240162
[11] H. Qin et al., “Trading safety stock for service response time in inventory positioning,” Mission Prod. Oper. Manag., no. August, pp. 1–13, 2022, doi: 10.1111/poms.13869. DOI: https://doi.org/10.2139/ssrn.4066119
[12] E. Sudarmi and W. Sunaryo, “Enhancing Inventory Accuracy and Operational Performance with ERP,” Sinergi Int. J. Logist., no. 2, pp. 76–89, 2024. DOI: https://doi.org/10.61194/sijl.v2i2.622
[13] I. A. Mohammed and J. Mandal, “The Impact of Lead Time Variability on Supply Chain Management,” in International Journal of Suplly Chain Management, 2023, vol. 8, no. 2, pp. 41–55. doi: 10.47604/ijscm.3075. DOI: https://doi.org/10.47604/ijscm.3075
[14] C. S. Pandega, E. Permana, and H. Okitasari, “Back Order dan Lost Sales sebagai Tantangan Ekonomi : Tinjauan Literatur terhadap Dampak dan Kebijakan Mitigasi,” Sci. J. Reflect. Econ. Accounting, Manag. Bus., vol. 8, no. 3, pp. 762–771, 2025, doi: 10.37481/sjr.v8i3.1129. DOI: https://doi.org/10.37481/sjr.v8i3.1129
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