Model of Spare Parts Optimization Based on GA for Equipment

Abstract

Combined with the engineering requirements for the optimal allocation of the current ammunition equipment spare parts, a spare part optimization model based on genetic algorithm was established. With the combination of good readiness and cost of ammunition equipment, the use of genetic algorithm had the characteristics of fast convergence, strong global optimization, and simple programming. The model was solved and the spare parts of ammunition equipment were optimally configured. Finally, an example of ammunition equipment was analyzed. The results show that the genetic algorithm can effectively solve the optimization problem of ammunition equipment spare parts.

Calculation Method Modification of Spare Parts Quan-tity to Restore Operability of Weapon Systems

“…However, the reliability theory does not reflect sufficiently the problem of combat damage restoration with use of special spare parts kits. Today, there are a lot of studies related to problems of technical systems supply with spare parts [1][2][3][4][5][6][7][8][9].…”

“…In [3], we proposed the genetic algorithm for spare parts optimization. We demonstrated that in some cases the use of genetic algorithm permits to solve optimization tasks.…”

“…The reliability of the considered approaches [1][2][3][4][5][6][7][8][9] is defined by the reliability of calculation of failure and restoration rates, their approximation and assumptions, which are integrated, for example, into the Poisson flow. However, it is worth considering the fact that today the data on WS spare part damage and their restoration are limited, even absent.…”

“…Thus, the use of the existing approaches [1][2][3][4][5][6][7][8][9] to determine the composition of spare parts designed to eliminate combat damage and restore the WS operability is inappropriate, and the topic of the article is relevant.…”