CEMENT

UDC 658.51; 666.94

[:en]Tikhomirov L. I.[:ru]Тихомиров Л. И.[:] [:en]Ph.D. in Engineering Science, CEO of ITPS, Moscow, Russia[:ru]канд. тех. наук, руководитель ITPS, Москва, Россия[:]

[:en]Vasyukov D. E.[:ru]Васюков Д. Е.[:] [:en]Ph.D. in Eсonomics., Head of Oilfield Services at ITPS, Moscow, Russia[:ru]канд. эконом. наук, директор по нефтесервисному направлению ITPS, Москва, Россия[:]

[:en]Mezentsev A. S.[:ru]Мезенцев А. С.[:] [:en]Chief Products Officer at ITPS, Moscow, Russia[:ru]директор по продуктам ITPS, Москва, Россия[:]

[:en]Romanov D. S.[:ru]Романов Д. C.[:] [:en]Director of Digital Manufacturing at ITPS, Moscow, Russia[:ru]директор по цифровому производству ITPS, Москва, Россия[:]

Alitinform №3 (60) 2020 г. 14-21 p.

Abstract

An innovative management model for cement and building mixtures manufacturing enterprise is presented on the basis of a specialized digital solution, with the help of which a company can increase its competitiveness due to an increase in labor productivity, by improving the quality of products, reducing costs and increasing the economic efficiency of the business. The approach is based on the implementation of interrelated regulated processes, digital tools and methods of real-time data processing, as well as on the creation of an enterprise management information system — MES — for the systematic collection, analysis and storage of information with the ability to manage production and supporting processes, resources, plans and other aspects of production. The article also shows the growth keypoints typical for a cement plant (intelligent control of equipment operating modes and energy efficiency, maintenance and repair processes, warehouse accounting, procurement, logistics, etc.), as well as specific effects achieved with the help of the MES, including the reduction of accidents and repair costs, reduction of downtime, cost optimization, increase in productivity, economical consumption of energy carriers, etc. The approach has been successfully applied in practice. Working prototypes of the described solution were created and put into commercial operation at four Russian enterprises producing cement using the “dry” method.

Key words:

digital manufacturing, cement production, digital plant, artificial intelligence, intelligent manufacturing, risk management, product quality management, labor cost reduction, predictive analytics, production data, laboratory data, process data, cement grinding, clinker firing, optimization, analysis real-time data, plan-fact, IT landscape, energy efficiency, CPCS, MES, ERP, MRO, procurement, logistics