Optimasi Persediaan Toko Mainan Menggunakan Simulasi Monte Carlo untuk Menghadapi Ketidakpastian Permintaan Musiman
DOI:
https://doi.org/10.31004/jutin.v9i1.55900Keywords:
Monte Carlo simulation, Inventory Optimization, Seasonal Demand, Inventory Management, Risk AnalysisAbstract
This study aims to optimize inventory policy in a toy retail store facing seasonal demand uncertainty using Monte Carlo simulation. Fluctuating demand often leads to overstock and stockout risks, increasing holding costs and potential lost sales. Historical daily demand data were used to construct a probabilistic model, followed by 10,000 simulation iterations to generate the probability distribution of total inventory costs. The cost model consists of holding costs and shortage costs. The simulation results indicate that total cost follows a probabilistic distribution and that an optimal reorder point exists to minimize the expected total cost. Sensitivity analysis confirms the trade-off between holding and shortage costs. The findings demonstrate that Monte Carlo simulation effectively supports adaptive, risk-based, and efficient inventory decision-making for small-scale retail businesses.References
Alshboul, O., Shehadeh, A., & Almasabha, G. (2026). Enhanced seismic resilience of cross-laminated timber buildings: A machine learning approach to developing robust fragility curves. Engineering Applications of Artificial Intelligence, 167. https://doi.org/10.1016/j.engappai.2026.113848
Ardjouna, A., Tegani, I., Benhamadouche, A. D., & Kraa, O. (2025). Modeling and forecasting uncertainties in renewable energy system: A stochastic approach for microgrid planning. Computers and Electrical Engineering, 127. https://doi.org/10.1016/j.compeleceng.2025.110588
Bastos, G. F., Montalvão, J., & Miranda, L. (2026). A Probabilistic Approach for Drift Compensation of Gas Sensor Data. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2026.3655381
Bauer, C. J. E., Neher, M., Kamm, V., Steinle, L., Lechler, A., & Verl, A. (2025). Lubricant Temperature Observer for Gearboxes in Industrial Robots. IECON Proceedings (Industrial Electronics Conference). https://doi.org/10.1109/IECON58223.2025.11221072
Ben Youssef, Y., Amdouni, A., Manita, G., & Hassine, M. D. E. B. (2025). MedTransNet: a transformer-based clinical decision support framework for early infectious disease prognosis and antimicrobial stewardship. Network Modeling Analysis in Health Informatics and Bioinformatics, 14(1). https://doi.org/10.1007/s13721-025-00653-8
Chen, H., Jiang, X., Hui, H., Zhang, K., Meng, W., & Cheynet, E. (2026). Enhancing probabilistic wind speed forecasting by integrating self-adaptive Bayesian wavelet denoising with deep Gaussian process regression under uncertainties. Renewable Energy, 256. https://doi.org/10.1016/j.renene.2025.123966
Demi̇r, A. K., & Balas, C. E. (2025). Dynamic frequency behavior of hybrid offshore systems under stochastic variations. Ocean Engineering, 340. https://doi.org/10.1016/j.oceaneng.2025.122232
Diem, N. D., van Dat, P., & Hien, T. D. (2025). Analysis of Beams with a Three-dimensional Random Field of the Modulus of Elasticity Using the Stochastic Finite Element Method. International Journal of Mathematical, Engineering and Management Sciences, 10(5), 1518–1538. https://doi.org/10.33889/IJMEMS.2025.10.5.072
Elbashbishy, T., & El-adaway, I. H. (2026). Assessing the Criticality of Construction Trades: Skilled Labor Shortages and Their Cost and Schedule Impacts. Journal of Construction Engineering and Management, 152(1). https://doi.org/10.1061/JCEMD4.COENG-16261
Enayati, J., Asef, P., & Benoit, A. (2025). A hybrid Artificial Intelligence method for estimating flicker in power systems. Energy and AI, 22. https://doi.org/10.1016/j.egyai.2025.100614
Galmacci, T., Fantaccione, L., Luzi, F., Verlezza, G., Ragni, G., & Fantozzi, F. (2025). How Accurate is Your Carbon Footprint? Measuring the Uncertainty with Pedigree Matrix in the Design of an Oxyfuel Combustion Gas Turbine. Journal of Engineering for Gas Turbines and Power, 147(12). https://doi.org/10.1115/1.4069460
Garces, D., & Gil, S. (2025). Pro-routing: Proactive routing of autonomous multi-capacity robots for pickup-and-delivery tasks. Robotics and Autonomous Systems, 194. https://doi.org/10.1016/j.robot.2025.105138
Ge, L., Liu, H., Du, N., Sun, G., Meng, T., Li, L., & Song, S. (2026). Sensorless Control of Switched Reluctance Motor Based on Improved Particle Filter. IEEE Transactions on Industrial Electronics, 73(1), 275–283. https://doi.org/10.1109/TIE.2025.3595962
Germanos, M., Ben-Ammar, O., & Zacharewicz, G. (2026). A rolling horizon framework for supplier selection and order allocation: a case study on smallholder agricultural supply chain. International Journal of Food Engineering, 22(1), 37–50. https://doi.org/10.1515/ijfe-2025-0031
Gu, M., Zhang, P., Chang, R., Boh, W., & Huo, B. (2026). The Impact of Blockchain Implementation on Received and Provided Trade Credit. IEEE Transactions on Engineering Management, 73, 467–480. https://doi.org/10.1109/TEM.2025.3640643
Hou, B., Zhou, B., & Wu, S. (2025). Optimal Design of Water Distribution Network Considering the Uncertainty and Correlation of Nodal Demands. Water Resources Management, 39(11), 5555–5573. https://doi.org/10.1007/s11269-025-04216-4
Khan, F. T., Alif, K. M. O., Chowdhury, A., Huda, A. S. N., & Rabbani, A. (2026). Probabilistic financial modeling and EFAST based sensitivity analysis of industrial rooftop solar photovoltaic systems. Results in Engineering, 29. https://doi.org/10.1016/j.rineng.2026.109269
Kim, B.-K., Hyun, J.-S., Kim, Y. H., Ryu, J.-H., Segu, D. Z., & Kang, S.-W. (2023). Effect of Boundary Layer Modification and Enhanced Thermal Characteristics on Tribological Performance of Alumina Nanofluids Dispersed in Lubricant Oil. Experimental Techniques, 47(3), 737–746. https://doi.org/10.1007/s40799-022-00588-z
Kim, S. H., & Kim, Y. S. (2026). Quantitative analysis of schedule impact due to design changes in finishing construction work: (A case study of office buildings). KSCE Journal of Civil Engineering, 30(2). https://doi.org/10.1016/j.kscej.2025.100362
Li, Y., Xu, M., & Zhao, P. (2026). Dependence-aware modeling of multi-tenant attacks in cloud systems. Reliability Engineering and System Safety, 266. https://doi.org/10.1016/j.ress.2025.111750
Lindsley, B., Kraus, N., & McQuaig, K. (2022). Iron-Based Powder Solutions For Soft Magnetic Composite Applications. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160689482&partnerID=40&md5=fb421f6bc0585f0ec0c2caab35529ad1
Liu, L., Ni, C., Wang, Y., Zhao, T., & Zhu, J. (2025). Research Progress of Tribological Properties of Titanium Alloy Based on Surface Micro-texture. Surface Technology, 54(2), 52–69. https://doi.org/10.16490/j.cnki.issn.1001-3660.2025.02.004
Malik, J., Raja, R., Pawar, P. M., & Mukherjee, M. (2026). Cyber risk quantification for adversarial machine learning attacks. Computers and Electrical Engineering, 131. https://doi.org/10.1016/j.compeleceng.2026.110964
Mancusi, F., Bochicchio, A., Laforgia, A., & Fruggiero, F. (2025). Sustainability-Aware Maintenance for Machine Tools: A Quantitative Framework Linking Degradation Management with Life-Cycle Cost and Environmental Performance. Applied Sciences (Switzerland), 15(21). https://doi.org/10.3390/app152111333
Mateus, R. J. G., Assis, R., Carmona Marques, P., Martins, A. D. B., Rodrigues, J. C. A., & Pinto, F. S. (2026). An Integrated Risk-Informed Multicriteria Approach for Determining Optimal Inspection Periods for Protective Sensors. Sensors, 26(1). https://doi.org/10.3390/s26010213
Minarifam, G., & Asadi, P. (2025). Stochastic linearization technique for bilinear hysteretic structures equipped with tuned liquid column dampers. Structures, 79. https://doi.org/10.1016/j.istruc.2025.109464
Mo, Y., Kong, L., Shen, Y., Zhang, Y., Zeng, B., Xiao, J., Kang, M., & Zhu, G. (2025). Meteorological, behavioural and social determinants in HFMD transmission: a modelling study in Guangzhou, China. Journal of the Royal Society Interface, 22(232). https://doi.org/10.1098/rsif.2025.0337
Ni, P., Lei, F., Zheng, H., Song, J., Yue, Y., Zhang, X., Yan, Z., & Qin, G. (2025). Potential and challenges of urban building surface solar energy utilization in solar resource non-enriched areas, China. Energy, 332. https://doi.org/10.1016/j.energy.2025.137163
Ouzaroual, L., El-Fdil, R., Sabbah, H., Fadil, Z., Salmani, E., Mahmoud, K. H., Alsayyari, A. A., Raorane, C. J., & Kim, S.-C. (2025). Compensation temperature and reentrant magnetization in 2D hexagonal mixed-spin systems: A Monte Carlo study. Physica B: Condensed Matter, 718. https://doi.org/10.1016/j.physb.2025.417896
Peixoto, T. P. (2025). Uncertainty quantification and posterior sampling for network reconstruction. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 481(2325). https://doi.org/10.1098/rspa.2025.0344
Petrović, P., & Mijailović, V. (2025). Incremental/decremental memristor utilizing solely a voltage controlled second-generation current conveyor. Integration, 105. https://doi.org/10.1016/j.vlsi.2025.102528
Semmelmann, L., Kimbrough, S. O., & Staudt, P. (2026). Aggregator electricity price guarantees for households with flexibility potential utilizing thermal building inertia. Applied Energy, 409. https://doi.org/10.1016/j.apenergy.2026.127430
Sharbaf, S. A., Lolli, N., Andresen, I., & Schneider-Marin, P. (2025). A framework for identifying influential factors in cost-benefit analysis of building-applied photovoltaics systems. Applied Energy, 400. https://doi.org/10.1016/j.apenergy.2025.126542
Singh, M., Dixit, A. R., Sharma, A. K., Nag, A., & Hloch, S. (2025). Real-Time Adaptive Nanofluid-Based Lubrication in Stainless Steel Turning Using an Intelligent Auto-Tuned MQL System. Materials, 18(20). https://doi.org/10.3390/ma18204714
Song, G., Li, C., Hua, C., Lv, G., Lu, H., & Cao, S. (2026). Thermal network modeling and analysis of bi-directional sliding guide system for CNC machine tools. Mechanical Systems and Signal Processing, 242. https://doi.org/10.1016/j.ymssp.2025.113629
Tatsumi, H., Matsubara, K., & Nakahara, Y. (2023). Trends in Evaluation Methods of Oil Cooling Performance for Battery and Motor of Electric Vehicles. Toraibarojisuto/Journal of Japanese Society of Tribologists, 68(2), 98–104. https://doi.org/10.18914/tribologist.68.02_98
Therapontos, P., Panagi, S., Konstantinou, R., Charalambous, C. A., & Aristidou, P. (2026). Increasing the RES Hosting Capacity of the Cyprus Distribution System Focusing on Export Limitation Schemes. IET Generation, Transmission and Distribution, 20(1). https://doi.org/10.1049/gtd2.70207
Wang, J., Kouki, M., Ali Pasha, A. A., Nayak, M. K., Algarni, S., Alqahtani, T., & Irshad, K. (2024). Buoyancy-driven micropolar ternary hybrid nano-suspension within an oblique incinerator-shaped chamber: Thermal and second law analyses. Case Studies in Thermal Engineering, 61. https://doi.org/10.1016/j.csite.2024.105012
Yan, C.-Z., Zhang, Z.-Y., Li, C.-Y., Wu, S.-H., Liu, Y., & Han, X. (2025). Highly Durable Antifouling Performance of Amphiphobic and Slippery Coatings with PFPE-Stored POTS-MSNs@PVDF. Langmuir, 41(16), 10394–10407. https://doi.org/10.1021/acs.langmuir.5c00304
Zhang, Z., Wen, K., Gong, H., Wang, Y., Zhao, L., Wang, D., & Gong, Z. (2025). Regional disparities and provincial peak trajectories of transportation carbon emissions in Western China. Transportation Research Part D: Transport and Environment, 149. https://doi.org/10.1016/j.trd.2025.105062
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Copyright (c) 2026 Rafa Adhitya Dharmawangsa Nasution, Yoddis Pramana, Hasyim Fadhillah Lubis, Ridho Rahman Hasibuan, Khairul Anwar
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