Development and Implementation of a Recommendation Service to Improve Manufacturing Resource Planning of a Large Metallurgical Enterprise

This paper is devoted to the development and implementation of a recommendation service to improve production planning of a large metallurgical enterprise. The aim of the study was to optimise the process of forming orders for scrap metal supply between the converter shop and the scrap preparation shop. To achieve the goal, the following tasks were solved: 1) the existing scrap order formation process was studied and described, including the roles and responsibilities of the participants, and current problems and bottlenecks were identified; 2) requirements for the implementation of the recommendation service were formulated, including functional, non-functional, business and architectural requirements; 3) an algorithm analysing melting data, technical instructions and current scrap balances to form order recommendations was developed; 4) an ER-diagram of the target solution data logic was designed; 5) a user interfe was developed The results of the work show that the implementation of the developed recommendation service can bring significant business effects by reducing the time of order formation, increasing the continuity of production, optimising the logistics of raw material supply and reducing the influence of the human factor. The total economic effect from the implementation of this project can be calculated in millions of rubles per year, based on the analysis of similar solutions. In addition, the solution is universal and can be adapted for use in other industries and not only, where prompt and accurate decision-making based on data analysis is critical.