Purpose: One has worked out an application that allows to analyze the efficiency of technological process in aspect of nonmaterial values and has used neural networks to verify particle indicators of quality of a process operation. Indicators appointment makes it possible to evaluate the process efficiency, which can constitute an optimization basis of particular operation. Design/methodology/approach: The created model made it possible to analyze the chosen technological processes for the sake of efficiency criteria, which describe the relationships: operation - material, operation machine, operation - man, operation - technological parameters. Findings: In order to automate the process, to determine the efficiency of technological operation (KiX) and possibly to optimize it, one has applied one of artificial intelligence tools - neural networks. Practical implications: Application of neural networks allows to determine the value of technological efficiency of an operation. (KiX) without the necessity of detailed analysis as well of the whole process as of the particular operation. It makes it also possible to optimize operation efficiency by means of checking value of operation efficiency in the case of change in value of particular partial efficiency indicators. Originality/value: Method of computer application makes it possible to point out the studied indicators and asses finally the process efficiency in order to plan optimization of particular operation.
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