In Japan’s key yellowtail (buri) aquaculture industry, the increasing exports are contrasted with the production instability caused by declining producers and a reliance on wild juveniles with long, unpredictable lead times. This study addresses these challenges by proposing a production management approach that utilizes hatchery-produced juveniles with controllable, twice-yearly spawning schedules (spring and autumn) to improve the efficiency and predictability. A Monte Carlo simulation using probability distributions determined by the Anderson–Darling test was employed to analyze the shipment patterns and revenue under three pricing scenarios: high-seasonal, moderate, and size-differentiated. The results demonstrate that an increase in the number of spawning seasons distributes shipments more uniformly. This results in a stable year-round supply. The approach can significantly increase the annual revenue, particularly in the high-seasonal price scenario. Conversely, although the differentiated pricing model marginally reduces the total revenue, it significantly mitigates seasonal sales fluctuations. Thus, it provides enhanced stability for producers. To conclude, this study shows that utilizing hatchery-produced juveniles enhances the economic resilience and operational sustainability. This shift toward a more controlled and efficient system aligns with the core sustainability principles. The methodology also provides an adaptable model for other aquaculture sectors. Future work should incorporate the market demand and environmental variables to develop more comprehensive decision-making tools.

1. [1] Ministry of Agriculture, Forestry and Fisheries, “Export expansion strategy for agriculture, forestry, and fishery products and food—For the transition to market-in exports,” Materials for the Ministerial Council on Import Country Regulations for Export Expansion of Agriculture, Forestry, and Fishery Products and Food, 2023 (in Japanese).
2. [2] Fisheries Agency, “Recent state of the aquaculture industry,” Document 1, 2024 (in Japanese).
3. [3] Development Bank of Japan Inc., “Southern Kyushu fisheries survey: growth strategy for yellowtail aquaculture,” Development Bank of Japan Inc., 2016.
4. [4] K. Mushiake, “Technology of spawning period regulation and egg quality evaluation method,” Bulletin of the Institute for Marine Biological Resources, Fukuyama University, Vol.18, pp. 31-35, 2008 (in Japanese).
5. [5] Kurose Suisan Co., Ltd., “Corporate news: Aiming for a new form of yellowtail aquaculture,” The Japanese Society of Fisheries Science, Vol.86, No.3, pp. 237-238, 2020 (in Japanese). https://doi.org/10.2331/suisan.WA2706
6. [6] N. Ueno, M. Kawasaki, and H. Okuhara, “Mass customization production planning system by advance demand information based on unfulfilled-order-rate,” J. of the Institute of Systems, Control and Information Engineers, Vol.23, No.7, pp. 147-156, 2010 (in Japanese). https://doi.org/10.5687/iscie.23.147
7. [7] H. Fukui and F. Hashimoto, “A study on the method for due-date assignment in case of varying the shop load levels,” J. of Japan Industrial Management Association, Vol.46, No.4, pp. 242-247, 1995 (in Japanese). https://doi.org/10.11221/jimapre.46.4_242
8. [8] S. Unn, T. Sugimoto, A. Kurokawa, H. Takahashi, and K. Akachi, “A case study of shipment pig prediction and risk analysis by Monte Carlo method,” J. of the Japanese Agricultural Systems Society, Vol.25, No.3, pp. 157-165, 2009 (in Japanese). https://doi.org/10.14962/jass.25.3_157
9. [9] N. Sugimura, N. Q. Thinh, S. Kohama, Y. Fukui, and K. Iwamura, “A study on demand forecasting of wholesale markets of lettuces for production planning in plant factories,” Int. J. Automation Technol., Vol.16, No.2, pp. 218-229, 2022. https://doi.org/10.20965/ijat.2022.p0218
10. [10] Japan Fisheries Research and Education Agency (FRA), “Special feature: aiming for the spread of ‘artificial seedlings of yellowtail’,” FRA NEWS, Vol.70, 2022 (in Japanese).
11. [11] Fisheries Agency, “Regarding trends in the production and export of farmed yellowtail,” Farmed Fish Supply and Demand Review Meeting, Document 1, pp. 1-5, 2024 (in Japanese).
12. [12] Ministry of Agriculture, Forestry and Fisheries, “The current situation surrounding fish diseases,” 1st Fish Disease Countermeasures Promotion Council, Document 2, 2019 (in Japanese).
13. [13] Jiji Press Ltd., “Jiji Suisan Joho (Jiji Fisheries Information) homepage,” 2025. https://suisan.jiji.com/info/ [Accessed July 25, 2025]
14. [14] Japan Meteorological Agency, “Forecast terminology: ‘Terms related to time’,” (in Japanese). https://www.jma.go.jp/jma/kishou/know/yougo_hp/toki.html [Accessed July 25, 2025]
15. [15] D. Vose, “Introduction to risk analysis: from basics to practice,” T. Hasegawa and M. Tsutsumi (Trans.), Keiso Shobo, 2003 (in Japanese).