Digital twins as organizational and economic tools for predictive management of oilseed subsequence enterprises

Digital twins are traditionally understood as digital models of a product or process. However, this paper attempts to examine digital twins as tools for managing end-to-end business processes, enabling their modeling, monitoring, and the predictive adjustment of operational management parameters within the oilseed sub-sector. To substantiate the author's position, the paper presents elements of a process model for "coordinating oilseed production batch data" across the "field–grain elevator–oil extraction plant" chain.