Multi-Stage Mathematical Programming Models and Their Applications in Agriculture

Author:

Ivanyo Yaroslav1,Polkovskaya Marina1,Sinitsyn Maxim1

Affiliation:

1. Irkutsk State Agricultural University named after A.A. Ezhevsky

Abstract

The article presents multi-stage parametric programming models, the characteristics of which depend on time and seasonality. The first model took into account the impact on the yield of agricultural crops of predecessors. In the second model, related to the distribution of sales of products by seasons, at the first stage, a point and interval forecast of the task parameters is carried out, at the second stage, optimal coefficients are determined that characterize the volume of sales of crop products depending on the season. Then, based on the obtained forecasts and optimal coefficients, the parametric programming problem is solved. The described tasks are implemented on real objects of the Irkutsk region. Logistic and asymptotic dependences are used to predict crop yields, and the price trend is a seasonal model. It should be noted that the presented models can be refined with the help of expert assessments, which will improve the adequacy of planning the activities of agricultural producers.

Funder

Russian Science Foundation

Publisher

Baikal State University

Reference12 articles.

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