Methodology for assessing the implementation of the production process

A set of methods for estimating the parameters of the production process is proposed. This set includes expert assessments, Pareto analysis and elements of neural networks based artificial intelligence. The set forms up the methodology for assessing the state of the production process and forecasting its implementation. The sequence of application of individual methods is substantiated. Algorithms for constructing informal decision are developed. Decisions are based on expert assessments and Pareto analysis for the formation of a training sample of a neural network. Approbation of the proposed methodology performed by means of simulation.