Abstract
The single equipment standard in equipment maintenance expenditure is an important basis for applying for the expenditure needed for equipment daily maintenance. The estimation of single equipment standard is the main problem in the current equipment maintenance expenditure management, but the existing research results lack the quantitative analysis method. Aiming at this problem, first of all, this paper analyses the data estimated by all unit, uses clustering to simplify data size and improve data quality, then introduces the concept of expectation standard and establishes the unit satisfaction function about the expectation standard, and finally uses the particle swarm algorithm to obtain the optimal solution under the constraint of the total amount of expenditure. This paper provides a new idea of quantitative analysis for single equipment standard estimation.
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