Research and Application of SPC in Process Quality Control of Tobacco Industry

Wenlong Jin, J. Qian, Qingsong Zhang, Xuefeng Gao, Yuangen Xu
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Abstract

Statistical process control (SPC) technology is a modern process quality management technology integrating production technology and scientific management. It uses the principle of probability theory of mathematical statistics and applies statistical methods to monitor each stage of the production process. It can find the abnormal situation in the production process in time and take measures to improve it in time, so as to achieve the purpose of improving and ensuring the quality. In the tobacco industry, SPC is introduced for process quality control, and Plato, three-phase control chart, columnar bubble chart and other quality control tools are used to monitor, analyze and judge whether the cigarette production process is in a stable and controllable state, and measure and record the process quality, so as to effectively control and manage the quality process, and ultimately greatly improve the production quality management level.
SPC在烟草工业过程质量控制中的研究与应用
统计过程控制(SPC)技术是生产技术与科学管理相结合的现代过程质量管理技术。它运用数理统计的概率论原理,运用统计方法对生产过程的各个阶段进行监控。能够及时发现生产过程中的异常情况,并及时采取措施加以改善,从而达到提高和保证质量的目的。烟草行业引入SPC进行过程质量控制,运用柏拉图、三相控制图、柱状气泡图等质量控制工具,对卷烟生产过程是否处于稳定可控状态进行监控、分析和判断,并对过程质量进行测量和记录,从而对质量过程进行有效的控制和管理,最终大大提高生产质量管理水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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