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Objective: To represent the logical relationships between the functions of the Tilapia production process ( Oreochromis Niloticus ) using the Functional Analysis Diagram (FAST) and build a conceptual model based on the Modified Soft Systems Methodology that allows for improved management of an aquaculture farm.
Design/methodology/approach: The Functional Analysis Diagram (FAST) diagram is applied together with the Modified Soft Systems Methodology in the Tilapia ( Oreochromis Niloticus ) production process and the principles of process engineering
Results: Production management indicators showed that only 28.57% achieved 100% of the results (SPF1, SUP1, SUP2, SUP3). Regarding STC1, 94.44% of the fry reached the target weight. The fattening period for the organisms took 25% longer than calculated (FAT1) and consumed 21.43% more feed (FAT2).
Regarding the expected weight, 58.33% met it (HAR1, HAR2). 74.13% (HAP2) are sold live at medium wholesale prices, the rest are sold retail (HAP1). Finally, 86.67% of deliveries ( HAP4 ) have an estimated delivery time between 1 and 5 hours.
Limitations and implications of the study: The study was limited to a semi-intensive Tilapia farm in southeastern Mexico, as a case study. The systemic approach employed includes activities already covered in some Mexican technical manuals but also considers a way to evaluate the management of aquaculture farms holistically.
Findings/Conclusions: A novel conceptual model for aquaculture farm management was presented. The modified Soft Systems Methodology and FAST were shown to be useful tools for designing a management system for aquaculture farms. The quantitative data from the 14 developed indicators complement the indicators generally used in aquaculture, thus enabling more efficient and effective farm performance evaluation