Multi-Model Volumetric Calendar Planning and Work Scheduling of Grass Feed Production Based on System-Cybernetics and Ontological Approaches

To solve the problems of integrated feed production planning, a special model-algorithmic support built on the basis of unification (integration) of three main approaches - ontological, logical-dynamic and fuzzy possibilistic. The ontological model has the function of conceptually describing the interrelated processes of HG, at the same time providing a visual interpretation of aspects of the subject area under consideration. Besides, it is shown that the proposed concept of complex modeling, as well as the used technologies for proactive (anticipatory) management of various types of resources within the proposed logical-dynamic description provides the opportunity to carry out multivariate forecasting. When synthesizing fuzzy-possibility models for predicting results feed production planning uses expert knowledge, which makes it possible to transform qualitative expert information into quantitative information. The application of the proposed approach is shown using the example of operational planning of processes for preparing feed from grasses for cattle. To be specific in the article only the final stage of feed production is considered - harvesting grass (HG).