Abstract

The effective operation of the machine and tractor fleet (MTF) of a modern agro-industrial complex requires monitoring of its technical condition by a system of repair and maintenance bases (RMB). A methodology for substantiating the structure and characteristics of the ROB system using special decision support systems (SDSS) is proposed, which will make it possible to implement the maintenance strategy “by actual state”, as well as reduce the recovery time of the MTF. The methodology includes a set of interrelated models: forecasting and diagnosing the technical condition of the MTF, the functioning of the system for ensuring the operability of the MTP and the formation of cost dependencies on the functioning of the RMB system. Algorithms were applied: redistribution of costs between maintenance activities (TO) and current repairs (TR); solution of the optimization problem based on the modified Nelder-Mead method. It was revealed that the small value of the maintenance interval allows to achieve sufficiently high values for the coefficient of technical readiness (Kg). It is shown that the main measure that allows to reduce operating costs and positively influence the value of Kg is the rational distribution of time for carrying out checks used during maintenance of the MTF sample. The use of 2-6 specialists makes it possible to ensure the duration of maintenance according to the state of the ICC unit from two to four hours. Deviations of more than 30 minutes at TR from the normative values of the recovery time led to a sharp decrease in the level of availability at the current level of the sudden failure flow parameter. Attracting an average of 3 - 4 specialists is required to complete the TR. It has been established that the main condition for the optimal operation of the MTF sample is individual monitoring of its technical condition, which makes it possible to reduce the duration of adjustment and repair measures by 40%. The condition for the effectiveness of the RMB system is the presence of at least four people of engineering and technical staff in the teams that carry out these activities. The total cost reduction for ensuring the working condition of the studied equipment was about 18 - 20%.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call