Increasing the Efficiency of Technological zoNe Space Utilization and Optimizing the Processes and Characteristics of Agricultural Enterprise Warehouse Logistics

Abstract

The presented study investigates the problem of optimizing material flows in agricultural production, where the technological process inevitably requires the effective implementation of sorting and warehousing operations. It is substantiated that the maintenance costs of such technological zones as warehouses, threshing floors, and grain elevators are a critical factor in forming the cost of the final product. Improving the efficiency of limited space utilization through the enhancement of warehouse logistics organization is considered a direct path to the economic optimization of the enterprise. The analysis of current research has shown that, despite the feasibility of using computer technology, the modern agricultural sector urgently needs thorough methodological developments for the implementation of appropriate software applications.

The central objective of the study is the synthesis of a complex of algorithms to create an information system that generates recommendations for improving the operation of technological zones. Specifically, three interconnected algorithms have been developed: dividing space among sets of objects (taking into account the volumes of contingency reservation), determining the optimal loading order, and constructing an access sequence to storage objects. The scientific novelty lies in the formalization of the spatial problem using a deterministic matrix apparatus. A system of matrices is used to describe the technological zone and model its states.

The zone division algorithm is described in detail; it is based on an iterative analysis of the requirements for the content of sets, ordered by decreasing volume. The methodology involves constructing maps of the shortest distances to exit points and maps of minimum distances to the boundaries of the placement zone. A unique element of the algorithm is the mechanism for the automatic generation of a network of mandatory passages through the identification of poles-points furthest from the boundaries. Such passages are dynamically integrated into the model as new boundaries and exit points for further calculations. The proposed approach makes it possible to achieve a balance between the need for permanent storage locations and the flexibility of variable placement zones, which ensures maximum space utilization. The results of the work serve as a theoretical and algorithmic foundation for the development of specialized software aimed at reducing logistics costs in the agro-industrial complex.