Abstract
The article presents mathematical models of production schedule assessment enabling the user to verify possibility and expediency of new order implementation by calculating the new schedule which will take into account this new order, enterprise resources and production risks associated therewith. Importance of these models consists in their feasibility as "Available-to-Promise" business-function for scheduling process automation and production schedule assessment. Presented models are expandable, scalable and flexibly adaptable to application environment and to organizational structure of various enterprises. Practical implementation of mathematical models and their integrating into digital production environment assume their implementation and monitoring by information system. This article is addressed to specialists involved in production automation and control.
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