
Methodology to calculate the required number of spare parts in order to ensure the required operability of equipment parks
Author(s) -
B. G. Kim,
Z. N. Shakir
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1103/1/012010
Subject(s) - operability , spare part , serviceability (structure) , reliability engineering , redundancy (engineering) , original equipment manufacturer , computer science , schedule , work order , unavailability , engineering , operations research , operations management , civil engineering , operating system
Comprehensive mechanization of work is accompanied by large expenditures for ensuring the serviceability and operability of the machines fleet. There is an almost constant need for spare elements (machines, units, parts) to maintain the required use level of machines and equipment, as well as to perform work on schedule. An algorithm of actions allowed finding a rational level of redundancy for machines and their parts under various operating conditions and constructive improvement of technology. The article showed that the rate of failure is influenced by the natural and climatic factor, the "age" of machines, and other conditions. Optimization of the companies’ repair policy in terms of ensuring the serviceability of equipment is a complex multi-vector problem. The described methodology makes it possible to determine the necessary range and volumes of spare elements for a known fleet of machines at a given load and under the conditions of ensuring the calculated level of reliability and serviceability of the equipment, maintenance, and repair. The application of the proposed method allows optimizing the cost of spare elements while ensuring the established level of reliable operation for machines and technological sets of equipment. Also, it becomes possible to obtain rational solutions for the formation of a warehouses network on different levels to meet the needs of firms with the dispersed operation of machines and mechanisms at a large number of objects.