应用回归分析改善A面板工厂SiH4日常供应管理  

Application of Regression Analysis to Improve the Daily Supply Management of SiH4 in A Panel Factory

作　　者：姜昌日 JIANG Chang-ri(LG Display Optoelectronics Technology(China)Co.,Ltd.,Guangzhou 510700,China)

机构地区：[1]乐金显示光电科技(中国)有限公司,广州510700

出　　处：《价值工程》2020年第24期79-84,共6页Value Engineering

摘　　要：作为危险化学品的SiH4在液晶面板制造中主要用于化学气相沉淀工艺,是重要的原材料之一。为了生产的安全和稳定,甚至控制成本,需要建立该原材料的日常供应控制管理。用SPC控制图管理日常供应量是非常有效的方法,但是日常供应量数据有时出现失效,无法正确地反映日常供应现状。本文通过回归分析,改善每日供应量的计算方法。建立有效的SPC控制图,并且监控每日供应量是否稳定,受控;及时反馈信息。当出现异常时经过正确的分析和合理的措施,实现供应的安全和稳定,甚至控制成本。SiH4 as a hazardous chemical is mainly used in the chemical vapor deposition process in the manufacture of liquid crystal panels,and is one of the important raw materials.For the safety and stability of production,and even to control costs,it is necessary to establish the daily supply control management of the raw materials.Using SPC control charts to manage daily supply is a very effective method,but the daily supply data sometimes fails and cannot accurately reflect the current status of daily supply.This article improves the calculation method of daily supply through regression analysis.It establishes an effective SPC control chart,and monitors whether the daily supply is stable,controlled,and timely feedbacks information.When abnormality occurs,correct analysis and reasonable adjustments are made to realize the safety and stability of supply and control costs.

关 键 词：回归分析 供应量 SIH4 SPC 

分 类 号：F253[经济管理—国民经济]