基于自动化系统信息结构提高包装成型工艺过程质量

M. Sashnova, Andreii Zahorulko, T. Savchenko, Sergii Gakhovich, I. Parkhomenko, D. Pankov
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引用次数: 4

摘要

基于自动化质量监控系统的信息结构,我们设计了一个系统来分析pet包装成型的质量信息,并利用Shewhart控制图对工艺过程进行统计控制。这已经用一个例子证明了提出的技术的质量估计成品PET瓶基于其壁厚。获得高质量的pet包装直接取决于各个工艺阶段的完善程度,从而预先决定了建立有效的系统来控制和管理聚对苯二甲酸乙二醇酯瓶成型工艺过程的必要性。通过对自动化系统信息结构的监测,对pet包装成型质量信息进行分析,可以通过组织对所制造产品的选择性控制,确保在缺陷比例最小的情况下对成型参数进行操作调整。使用基于Shewhart控制图的统计方法,可以开发真实的算法来监测形状质量,旨在跟踪违反技术参数的情况,并编制提高工艺质量和资源利用效率的建议。主要工艺参数与产品质量指标之间因果关系的统计估计,涉及到pet包装成型质量监控的算法。这使得在应用设计的休哈特控制图时,可以确保瓶中缺陷的最低水平。我们提出了一个模糊认知图,用于定义旨在消除瓶形形成缺陷的主要原因的预防性纠正措施,考虑到因素之间的相互关系及其对产生的过程质量的影响
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving the Quality of the Technological Process of Packaging Shape Formation Based on the Information Structure of an Automated System
Based on the information structure of an automated quality monitoring system, we have designed a system to analyze information on the quality of forming the shape of PET-packaging, with a possibility of statistical control over the technological process using Shewhart control charts. That has been demonstrated using an example of the proposed technique of quality estimation of the finished PET bottles based on the thickness of their walls. Obtaining high-quality PET-packaging directly depends on the degree of perfection of all technological stages, thereby predetermining the necessity to build an effective system to control and manage the technological process of the shape formation of bottles made from polyethylene terephthalate. An analysis of information about the quality of PET-packaging shape formation based on monitoring the information structure of an automated system would make it possible to ensure operative adjustment of shape forming parameters at the minimized percentage of defects by organizing selective control over the products made. The use of statistical methods based on Shewhart control charts could enable the development of authentic algorithms for monitoring the shape formation quality aimed to track violations of technological parameters and compile recommendations on improving the process quality, as well as resource-use efficiency. The statistical estimation of cause-effect relations between the main technological parameters and product quality indicators involves the algorithm that monitors the quality of PET-packaging shape formation. This makes it possible to ensure the minimum level of defects in bottles when applying the devised Shewhart control chart. We have proposed a fuzzy cognitive chart for defining the preventive corrective actions directed at the elimination of the main causes of a defect at bottle shape formation, taking into consideration the interrelations of factors and their consequences on the resulting process quality
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