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Production planning is an essential part of operations management in an industry, be-cause it allocates resources (raw materials, machinery, workforce) in the best possible way in order to maximize profit but also ensure that all processes are efficient and ef-fective towards making products that comply to specifications and customers de-mands. As far as the fish processing industry is concerned and specifically the fish canning branch, there are several factors that affect decision making. Decisions are driven by market demands and raw material availability. Seasonality of raw materials (both with respect to their quantity as well as quality) increases the complexity of the decision making process. In this study, a predictive model of production throughput was developed for a sardine canning process line. The model takes into account the fish size, the percentage of waste in the batch, the quality and state (raw, frozen) of the fish and the availability of the workforce to carry out production. Using data for the expected level of can production and with the use of appropriate mathematical models, the optimal combinations of values of the above factors can be calculated so that the gross profit can be maximized.