Ferrous metals and alloys are the foundation of the modern machine building industry and enjoy an ever increasing demand. The production chain starts with mining and processing plants. Heavy-duty service of heavy and large mining and processing machines under high loads requires that assemblies and units of the equipment undergo regular maintenance and repair. Repair and renewal operations are implemented using technological equipment assembled directly nearby the machinery to be reconditioned. It is possible to shorten the time of assembling and disassembling of technological equipment by selecting its rational configuration. This article discusses this problem solving through digitization of repair and renewal operations. The repair and renewal equipment is distributed between various services, which worsens coordination in selection of rational configuration of the equipment. It is necessary to pick the best of the numerous alternative arrangements. Furthermore, the rational operation-routing sequence selected will cut down imbalance–debugging operations, which may be rather efficient considering high labor content of these operations. Digitization includes mathematical modeling of generalized production system to enable permanent control over further production solutions. The positive effect is reached owing to optimization of process flow structure and configuration of technological equipment, reduced labor content and acceleration of debugging operations, as well as cost saving of the latter. Arrangement of the information feedback in the mathematical model of the generalized production system is considered. These feedbacks, by means of multiple iterations, will make it possible to find rational variants of configuration of technological equipment.

For citation: Kuznetsov P.M., Khoroshko L.L. Digitization of crushing and milling equipment reconditioning. MIAB. Mining Inf. Anal. Bull. 2019;(10):195-205. [In Russ]. DOI: 10.25018/0236-1493-201910-0-195-205.


Mining and processing plant, repair and renewal operations, technological equipment, production systems, digitization, mathematical model, information feedback, optimization.

Issue number: 10
Year: 2019
ISBN: 0236-1493
UDK: 621.914
DOI: 10.25018/0236-1493-2019-10-0-195-205
Authors: Kuznetsov P. M., Khoroshko L. L.

About authors: P.M. Kuznetsov, Dr. Sci. (Eng.), Professor, e-mail: profpol@rambler.ru, L.L. Khoroshko, Cand. Sci. (Eng.), Assistant Professor, Moscow Aviation Institute (National Research University), 125993, Moscow, Russia. Corresponding author: P.M. Kuznetsov, e-mail: profpol@rambler.ru.


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