Natural Rubber Inventory System Using the EPQ and Fuzzy EPQ Models with Sensitivity Analysis
Keywords:
EPQ, Fuzzy EPQ, Natural rubber, Inventory, Sensitivity analysisAbstract
Uncertainty in natural rubber production due to deterioration factors poses a serious challenge to the sustainability of rubber plantations. The EPQ (Economic Production Quantity) inventory model is suitable for this production environment, while the Fuzzy EPQ model accommodates parameter uncertainty. Meanwhile, sensitivity analysis is employed to examine how changes in parameters affect decision variables. Overall, the research findings indicate that the EPQ method is effective under conditions where parameters are relatively certain, whereas the Fuzzy EPQ method is better suited for environments characterized by uncertainty. Sensitivity analysis complements both methods by providing insight into the model's robustness against parameter changes, thereby enhancing the reliability of the resulting decisions for inventory management.
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[1] Syabawaihi, I. P. Sari, and V. Octalia, “Analisis Dampak Perubahan Iklim terhadap Produktivitas Perkebunan Karet terhadap Kesejahteraan Petani di Kabupaten Musi Rawas,” INSOLOGI J. Sains dan Teknol., vol. 4, no. 2, pp. 189–198, 2025, doi: 10.55123/insologi.v4i2.5110.
[2] A. I. D. Mede, W. Roessali, and S. Nurfadilah, “Analisis Risiko Produksi Karet Ribbed Smoked Sheet ( Studi Kasus di Kebun Merbuh , PTPN IX ) Risk Analysis of Ribbed Smoked Sheet Rubber Production ( Case Study in Kebun Merbuh , PTPN IX ),” vol. 19, no. 1, pp. 57–70, 2021.
[3] Q. Eoq et al., “Inventory Control of Formic Acid in Ribbed Smoked Sheet (RSS) Production Process at PT XYZ Using Economic Order Quantity Method,” Talent. Conf. Ser., vol. 7, no. 1, 2024, doi: 10.32734/ee.v7i1.2266.
[4] N. H. Nst, P. Gulton, P. K. Nasution, and R. Siregar, “Optimasi Pengendalian Persediaan Bahan Baku Kelapa Sawit dengan Menggunakan Metode Period Order Quantity (POQ)(Studi Kasus: PMKS PT. Gruti Lestari …,” 2022, [Online]. Available: https://repositori.usu.ac.id/handle/123456789/49031
[5] I. Siregar, I. Rizkya, R. M. Sari, and K. Syahputri, “Optimal Production Quantity in Rubber Industry,” IOP Conf. Ser. Mater. Sci. Eng., vol. 851, no. 1, 2020, doi: 10.1088/1757-899X/851/1/012001.
[6] H. Lee and J. Yao, “Economic production quantity for fuzzy demand quantity ~ and fuzzy production quantity,” vol. 2217, no. 97, 1998.
[7] M. Farhan, L. A. Utami, and P. K. Rambe, “Studi Literatur : Metode Analisis Sensitivitas pada Pemrograman Linear dan Aplikasinya dalam Optimisasi Produksi,” 2025.
[8] M. Fahmy-Abdullah, L. W. Sieng, N. Sulaiman, M. Hilmi, and I. A. Rahim, “Measuring Inefficiency in the Rubber Manufacturing Industry,” Int. J. Econ., vol. 28, no. 1, pp. 79–96, 2020.
[9] M. Ceylan and E. Aydemir, “A New Sustainable Economic Production Quantity Model with Imperfect Production and Shortage,” Arab. J. Sci. Eng., 2025, doi: 10.1007/s13369-025-10109-w.
[10] A. Eroglu and E. Tatar, “An economic production quantity model with defective production,” Int. Trans. Oper. Res., vol. 15, no. 1, pp. 8401–411, 2023.
[11] A. K. Yazdi, M. A. Kaviani, A. H. Sarfaraz, L. E. Cardenas-Barron, H.-M. Wee, and S. Tiwari, “A comparative study on economic production quantity (EPQ) model under space constraint with different kinds of data,” Grey Syst., vol. 9, no. 1, pp. 86–100, 2019, doi: 10.1108/GS-08-2018-0035.
[12] H. Mokhtari and J. Asadkhani, “Extended economic production quantity models with preventive maintenance,” Sci. Iran., vol. 27, no. 6 E, pp. 3253–3264, 2020, doi: 10.24200/SCI.2019.51199.2055.
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