Development of an Intelligent Precedent-based Decision Support System for Operational Planning of Steelmaking Production

The article describes the problem of operational planning of steelmaking production. The analysis of the production enterprise from the point of view of system approach is considered and the situational approach is applied to solve the problem of shift-daily scheduling. The authors propose the development of an intelligent decision support system. Models for searching for precedents and systems of product rules for adapting the found precedent to the current situation in the conditions of steelmaking production are developed. Such a solution helps to reduce the downtime of units, the time of equipment changeover during the shift, which will allow to produce an additional volume of steel.