Quality Cost Optimization Problems Research Based on the Operating Station with Winning Machine
Conference paper
Abstract
Based on the quality level requirements of coal mining enterprises for winning machine products, this paper studied the relationship between reliability and quality cost, according to the combination of fuzzy neural network and genetic algorithm established the quality cost optimization model. The case of the operating station with winning machine shows that the optimization model has the advantages of rapid searching, high accuracy, effective and brings the economic benefits for the enterprise.
Keywords
Reliability Quality cost optimization model Genetic algorithm Fuzzy neural networkPreview
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