Fuzzy hybrid technology in manufacturing and management, used to optimize decision-making and operational efficiency

In the current manufacturing environment, enterprises are facing complex decision-making processes and challenges brought about by market changes. Traditional production scheduling and management methods are often insufficient to cope with these uncertainties, so it is urgent to introduce fuzzy hybrid technology to improve the accuracy of decision-making and operational efficiency. This article studies fuzzy process planning and production scheduling models and optimizes the production efficiency of manufacturing systems through the evaluation of fuzzy parameters. We use fuzzy clustering analysis method to evaluate and optimize production resource allocation. Finally, based on system requirement analysis, the overall architecture of the intelligent manufacturing execution system was designed, covering decision-making domain models and system performance testing, to effectively implement production scheduling and management strategies. Research has shown that the fuzzy hybrid production scheduling method significantly improves the flexibility and resource utilization of the production process. Through the fuzzy computing model, the efficiency of the manufacturing system has been effectively optimized, and the performance test results of the intelligent manufacturing execution system show that it can support efficient decision-making and operational management in practical applications. Therefore, fuzzy hybrid technology provides an innovative solution for decision-making and operation in the manufacturing industry, which can effectively cope with uncertainty and improve production efficiency and resource utilization.