Sustainable Quality Management Based on Metrological Sampling Scheme Design: A Case Study of Food Processor

The optimization of the sampling scheme is particularly important in order to achieve sustainability quality management. This paper discusses problem optimizing design metrological when mean a random variable. Assuming that prior distribution product means known, Bayesian posterior probability calculated by using likelihood function with decision variables measure risk, and expected cost based on protection producer user risk combination Taguchi loss function. influence model parameters selection optimal investigated through sensitivity analysis. constructed this solves case food processing enterprises, quantifies products process, facilitates sustainable management has theoretical significance application value for business enterprises.