Multi-period planning of fish breeding chains and investigation of its efficiency under demand uncertainty

This article studies an issue in the fish farming industry, aiming to find the best multi-period plan for managing various chains, including spawning, breeding, harvesting, and selling trout over a given time horizon. It provides a new mixed integer linear programming model that efficiently finds the optimum solution. In the proposed model, some intermediate stages of the breeding chains that do not affect key decisions are ignored, thereby reducing the size and complexity of the proposed model without compromising the optimality of the answers. When weekly demands are considered uncertain data, by simulating weekly demand, it is shown that using the first-in, first-out policy during the selling season, the schedule provided by the deterministic model, in which average value is considered for the weekly demand, will still be effective relatively. By analysing the obtained results, some approaches are suggested to improve the proposed program.