[1] Ke, S., Guo, D., Niu, Q., & Huang, D. (2015). Optimized production planning model for a multi-plant cultivation system under uncertainty. Engineering optimization, 47(2), 204–220.
[2] Boonmee, A., & Sethanan, K. (2016). A GLNPSO for multi-level capacitated lot-sizing and scheduling problem in the poultry industry. European journal of operational research, 250(2), 652–665.
[3] Touil, A., Echchatbi, A., & Charkaoui, A. (2016). An MILP model for scheduling multistage, multiproducts milk processing. IFAC-papersonline, 49(12), 869–874.
[4] Amorim, P., Günther, H. O., & Almada-Lobo, B. (2012). Multi-objective integrated production and distribution planning of perishable products. International journal of production economics, 138(1), 89–101.
[5] Pauls-Worm, K. G. J., Hendrix, E. M. T., Alcoba, A. G., & Haijema, R. (2016). Order quantities for perishable inventory control with non-stationary demand and a fill rate constraint. International journal of production economics, 181, 238–246.
[6] Nguyen, T. D., Nguyen-Quang, T., Venkatadri, U., Diallo, C., & Adams, M. (2021). Mathematical programming models for fresh fruit supply chain optimization: a review of the literature and emerging trends. AgriEngineering, 3(3), 519–541.
[7] Agra, A., Christiansen, M., Ivarsøy, K. S., Solhaug, I. E., & Tomasgard, A. (2017). Combined ship routing and inventory management in the salmon farming industry. Annals of operations research, 253, 799–823.
[8] Yoshioka, H., & Yaegashi, Y. (2016). Finding the optimal opening time of harvesting farmed fishery resources. Pacific journal of mathematics for industry, 8(1), 1–6.
[9] Yu, Q., & Strandhagen, J. O. (2019). Multi-site production planning in a fresh fish production environment. In Advanced manufacturing and automation VIII 8 (pp. 439-447). Springer Singapore.
[10] Georgiadis, G. P., Pampín, B. M., Cabo, D. A., & Georgiadis, M. C. (2020). Optimal production scheduling of food process industries. Computers & chemical engineering, 134, 106682. https://doi.org/10.1016/j.compchemeng.2019.106682
[11] Islam, S. B., & Habib, M. M. (2013). Supply chain management in fishing industry: a case study. International journal of supply chain management, 2(2), 40–50.
[12] Paladini, E. P., Avilés, B. G., Schumacher, L., Lorenz, M., & Urquiza, Y. R. (2019). Quality management model for perishable food in a fishing industry. Journal of food process engineering, 42(6), e13171. https://doi.org/10.1111/jfpe.13171
[13] Tabrizi, S., Ghodsypour, S. H., & Ahmadi, A. (2018). Modelling three-echelon warm-water fish supply chain: A bi-level optimization approach under Nash--Cournot equilibrium. Applied soft computing, 71, 1035–1053.
[14] Mosallanezhad, B., Hajiaghaei-Keshteli, M., & Triki, C. (2021). Shrimp closed-loop supply chain network design. Soft computing, 25, 7399–7422.
[15] Moradi, S., MirHassani, S. A., & Hooshmand, F. (2019). Efficient decomposition-based algorithm to solve long-term pipeline scheduling problem. Petroleum science, 16, 1159–1175.
[16] Abedi, A., & Zhu, W. (2017). An optimisation model for purchase, production and distribution in fish supply chain--a case study. International journal of production research, 55(12), 3451–3464.
[17] Nurprihatin, F., Gotami, M., & Rembulan, G. D. (2021). Improving the Performance of Planning and Controlling Raw Material Inventory in Food Industry. International journal of research in industrial engineering, 10(4), 332-345.
[18] Chen, Z., & Rossi, R. (2021). A dynamic ordering policy for a stochastic inventory problem with cash constraints. Omega, 102, 102378. https://www.sciencedirect.com/science/article/pii/S0305048320307325
[19] Aouam, T., Geryl, K., Kumar, K., & Brahimi, N. (2018). Production planning with order acceptance and demand uncertainty. Computers & operations research, 91, 145–159.
[20] Moradi, S., & MirHassani, S. A. (2015). Transportation planning for petroleum products and integrated inventory management. Applied mathematical modelling, 39(23–24), 7630–7642.