The Application of Information Assay Algorithm in Quality Control, Case Study Research: The Body Making Hall of Peugeot 207

Mahan Khatib, Ghazal Hosseini
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Abstract

This research inspected the requested of information assay algorithm in quality rein, situation research investigation: Peugeot 207 body entrance. Nowadays, human capability for manufacture and group of dataset have been developing swiftly. Most of facture frolic significant figure in this procedure; namely, prevalent utilization of computer capabilities in various body of knowledge, in expansion tools for set information, study and consistent knowledge systems, integrated banking systems, and electronic commerce. The explosive expansion in stored datum has given rise to new technologies and automated tools to transform the vast amount of datum into facts and knowledge, hence information assay is a solution for the obstacle. Information assay is prophesied to utilize of information assay tools in order to realize the templates and reliable interaction which has undisclosed so far. The willing research is requested to announce information assay in a manufacture company of Iran Automotive firm; that the original purpose is to demonstrate the reliable evaluation and some of dependability and precision controllers in the body construction company. In the recent researches, scholar efforts to provide this precision by cent and utilizing CLEMENTINE schedule, and attempts to show that when the researcher warrants a body, to what extent it can be possible to need to be re-diagnosed by the editors' instant response system. In the current research, the primary data of the quality information systems that have been accessed are used to perform calculations by the CLEMENTINE program. The findings of the study showed that the prediction is reliable in 85% of the opportunities. By using data analysis in the process of quality control and predicting the accuracy of people's performance in the bodybuilding salon and preventing the discovery of problems and defects in the reactivity department.
信息分析算法在质量控制中的应用,案例研究:标致207车身制造大厅
本研究考察了质量控制中信息分析算法的要求,现状研究调查:标致207车身入口。目前,人类对数据集的制造和整理能力得到了迅速发展。在这一过程中,大多数生产过程都是有效的。也就是说,计算机能力在各种知识体系中的普遍应用,在集合信息、学习和一致的知识系统、综合银行系统和电子商务的扩展工具中。存储数据的爆炸性增长催生了新技术和自动化工具,将大量数据转化为事实和知识,因此信息分析是解决这一障碍的一种方法。信息分析是利用信息分析工具来实现迄今尚未公开的模板和可靠的交互。拟在伊朗某汽车制造公司进行公告信息分析研究;最初的目的是为了证明车身制造公司的可靠性评估和一些可靠性和精度控制器。在最近的研究中,学者们努力通过使用CLEMENTINE时间表来提供这种精度,并试图表明当研究者保证身体时,在多大程度上可能需要编辑的即时反应系统重新诊断。在目前的研究中,已访问的质量信息系统的原始数据被CLEMENTINE程序用于执行计算。研究结果表明,该预测在85%的机会中是可靠的。通过在质量控制过程中运用数据分析,预测人们在健身沙龙中表现的准确性,防止反应部门发现问题和缺陷。
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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