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Optimization Models of Food Processing Wild-Growing Products with Expert Assessments

The paper proposes models for maximizing cluster incomes for the harvesting of wild-growing products, taking into account the areas and possible fishing volumes, yields of taiga resources, labor costs and production costs. A multi-criteria linear programming problem and problems with interval and random parameters are considered. The analysis of the initial data used to model cluster activity is given. The labor costs for obtaining forest products, the yield of wildgrowing plants and the cost of production are proposed to determine by expert means in the form of average and interval estimates. The results of optimization of the procurement of food wild-growing products for potential clusters of the Irkutsk region were obtained. Keywords— mathematical modeling, wild-growing food resources, expert assessments, clusters.