Abstract
The article discusses the decision-making model for managing inconsistencies in serial production processes based on the integrated use of statistical methods and expert assessment methods for processing information. The proposed model allows to reduce the number of non-conforming products through the forecast of inconsistencies in serial processes, both within the production process and delivered to the consumer.
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