Implementation of the calculation and analytical method for rationing metal consumption in the production of seamless hot-formed pipes at JSC TAGMET

Abstract

This article discusses the issues of the correlation of theoretical provisions on the sphere of metal use planning and the practical implementation of scientific principles in direct economic practice. Existing rationing methods are analyzed in detail, the most advanced of them, the calculation and analytical method, is identified. It is indicated that this method is implemented only with the help of mathematical modeling. The basis for evaluating the issues of practical implementation is a case study on the development of JSC "Russian Research Institute of the Pipe Industry" tools with a high level of automation and allowing JSC "Taganrog Metallurgical Plant" to solve the problem of scientifically and technically justified calculation of the planned metal consumption in the production of pipe metal products at a pipe rolling mill. Premium Quality Finishing (PQF) continuous mill. The normative and instructive documents regulating this type of activity are given. The process of creating tools for standardizing metal consumption in the form of software products, common to all such works, is characterized. The non-stationary requirements for the process of creating tools, caused by the conditions of TAGMET JSC, are characterized. The emphasis in the material is on describing the features of the accounting policy, its changes, PJSC "Pipe Metallurgical Company" and JSC "Taganrog Metallurgical Plant" in the field of metal consumption rationing, through the chronology of the implementation of these features in software and methodological support. The dynamics of the process of introducing tools into the practice of the plant's specialists and the influence of subjective and objective factors on this process is traced. The results obtained from the implementation, which are an improved process of normalization, are reflected. It also indicates the progressive influence of the optimization of one process on the "adjacent" elements of the management structure.