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首页> 外文期刊>International journal of quality, statistics, & reliability >Short-Run Control Chart for Multiproducts with Multi-Items Based on Unequal Means and Variances
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Short-Run Control Chart for Multiproducts with Multi-Items Based on Unequal Means and Variances

机译：基于均值和方差不等的多产品多产品短期控制图

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摘要

Statistical process control (SPC) is one of the most important statistical tools for monitoring production processes. It can be effectively designed and implemented when the process or product specifications are consecutively observed from a mass production condition. Normally, short-cycle productions do not have sufficient data to implement SPC. This research introduced how to design and implement short-run control chart for batch production conditions. Monitoring critical specifications of supplied parts to automotive industry was proposed. The results revealed that unequal variables followed normal distribution and can be fluctuated over time for the purpose of monitoring multiple products for each product including multidimensions with unequal means and variances from the central line to control the chart. Out-of-control signals and nonrandom patterns can be recognized on the developed short-run control chart accordingly.
机译：统计过程控制（SPC）是监视生产过程的最重要的统计工具之一。从批量生产条件连续观察过程或产品规格时，可以有效地设计和实施该产品。通常，短周期生产没有足够的数据来实施SPC。本研究介绍了如何设计和实现批量生产条件的短期控制图。提出了监视汽车行业所供应零件的关键规格。结果表明，不等变量遵循正态分布，并且可以随时间波动，以监视每个产品的多个产品，包括多维数据，其均值不相等，并且中心线有偏差以控制图表。失控信号和非随机模式可以相应地在已开发的短期控制图上识别。

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