Cigarette processing quality evaluation and diagnosis method

Abstract

The invention discloses a cigarette processing quality evaluation and diagnosis method. The cigarette processing quality evaluation and diagnosis method includes drawing a contour map of sample probability by collecting and processing historical data, diagnosing the abnormal technological parameters or indexes by the contour map and computing the quality. By computing of the sample probability, diagnosis of the abnormal parameters or indexes and computing of the sample quality, more complete and practical quality evaluation references are provided for quality management personnel, and a fast channel is provided for quality improvement. The cigarette processing quality evaluation and diagnosis method can evaluate product quality and physical quality of cigarettes during cigarette tobacco production, and can further diagnoses and indicates the technological parameters or indexes deviated from the statistics controlled states when small-probability events (such as quality inconformity) appear. The cigarette processing quality evaluation and diagnosis method has the advantages of universality and applicability to other production processes besides the tobacco industry.

Description

technical field [0001] The invention relates to the quality evaluation of products in the shredded production process of cigarettes and the physical quality of cigarettes. Background technique [0002] The system and method described in "Comprehensive Evaluation System and Method for Cigarette Process Quality Based on Gray Relational Analysis" (Patent No.: 200810237698.3) is a combination of single process quality evaluation and gray relational analysis method, which uses gray relational method to process or single The Cpk value of the parameter is comprehensively evaluated, and the process quality ranking of each evaluation object is obtained. But the disadvantages are: ① The evaluation result is only the result of the relative comparison of several processes. When the Cpk of some processes is ≥ 1.33, there is no need for improvement for the relatively poor processes. ② It is undoubtedly one-sided to use only a certain process parameter of several processes to evaluate the...

AI Technical Summary

Problems solved by technology

But the disadvantages are: ① The evaluation result is only the result of the relative comparison of several processes. When the Cpk of some processes is ≥ 1.33, there is no need for improvement for relatively poor processes

② It is undoubtedly one-sided to evaluate the overall quality of the process by only using a certain process parameter of several processes, so the evaluation results cannot fully and truly reflect the pros and cons of the overall quality of the process

Therefore, this method is still based on the idea of ​​one-variable statistical control, and the quality of cigarettes is a complex of multiple indicators, so it still cannot truly reflect the actual overall fluctuation of cigarette quality

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