Edward199
博客自定义分类
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统计过程控制</SPAN>SPC</SPAN>应用实务（上海，</SPAN>8</SPAN>月</SPAN>7</SPAN>日</SPAN>）</SPAN> </SPAN></SPAN> 【培训日期】</SPAN>2009</SPAN>年</SPAN>8</SPAN>月</SPAN>7</SPAN>日</SPAN></SPAN> 【培训地点】</SPAN>上海</SPAN></SPAN> 【培训对象】</SPAN>企业研发部、技术部、企划部、制造部、品管部、业务部、人力资源部、资材部等主管人员</SPAN></SPAN> </SPAN> 【课程目标】</SPAN></SPAN> </SPAN></SPAN>统计过程控制</SPAN>SPC</SPAN>是</SPAN>Shewhart</SPAN>博士首先应用正态分布特性于生产过程中的管理，目前已成为生产过程中控制稳定产出的主要工具之一，在生产型企业中应用的非常广泛。有效的实施、应用</SPAN>SPC</SPAN>可以及时发现过程中的问题，采取适当的改善措施，在发生问题之前，消除问题或降低问题带来的损失。统计过程控制课程的目的，在学习将生产线的检验结果带入统计分析的手法，及时发现并排除造成过程不稳定的因子，把生产制造的数据套入常态分配原理，预估不良品的产出机率，并运用计算机化以减少计算时间，此手法为建立</SPAN>6</SPAN>σ品质系统的基础活动。在设计到生产制造过程中，如何导入</SPAN> SPC </SPAN>统计过程控制手法；为何在导入</SPAN> SPC </SPAN>手法前必须分析</SPAN>QFD</SPAN>、</SPAN>FMEA</SPAN>、</SPAN>QC </SPAN>工程表、</SPAN>GRR</SPAN>…等。透过过程能力</SPAN> (</SPAN>指针</SPAN>) </SPAN>与直方图分析，了解产品潜藏的变异，而采取管理预防措施以提升过程能力。透过管制图侦测异常现象，进行过程调查，将不良情形区分为人员、设备、材料与操作方法等原因，控制不良品被产出前立即采取矫正预防措施。采用</SPAN> Minitab</SPAN>等软件介绍快速取得过程能力的相关讯息的方法。深入了解</SPAN> 6</SPAN>σ品质系统的概念。</SPAN></SPAN> </SPAN> 【培训大纲】</SPAN></SPAN> 一、</SPAN>SPC</SPAN>的基础</SPAN></SPAN> </SPAN></SPAN>■</SPAN>SPC</SPAN>起源、背景</SPAN></SPAN> </SPAN></SPAN>■</SPAN>SPC</SPAN>的假设条件</SPAN></SPAN> </SPAN></SPAN>■统计数据的类型（计数、计量）</SPAN></SPAN> </SPAN></SPAN>■正态分布</SPAN></SPAN> </SPAN></SPAN>■中值、极差、标准偏差的计算</SPAN></SPAN> </SPAN></SPAN>■过程的变异</SPAN></SPAN> </SPAN></SPAN>■六西格玛与</SPAN>SPC</SPAN> </SPAN> 二、</SPAN>SPC</SPAN>中的抽样计划</SPAN></SPAN> </SPAN></SPAN>■样本大小的确定</SPAN></SPAN> </SPAN></SPAN>■</SPAN>QC</SPAN>曲线与</SPAN>a</SPAN>、</SPAN>b</SPAN>风险</SPAN></SPAN> </SPAN></SPAN>■抽样检验</SPAN></SPAN> </SPAN></SPAN>■</SPAN>Ca</SPAN>、</SPAN>Cp</SPAN>、</SPAN>Cpk</SPAN>、</SPAN>Ppk</SPAN>、</SPAN>Cmk</SPAN>的计算</SPAN></SPAN> </SPAN></SPAN>■认识测量误差与对</SPAN>SPC</SPAN>的干扰</SPAN></SPAN> </SPAN> 三、</SPAN>SPC</SPAN>的应用实施</SPAN></SPAN> </SPAN></SPAN>■数据收集</SPAN></SPAN> </SPAN></SPAN>■</SPAN>SPC</SPAN>控制图介绍</SPAN></SPAN> </SPAN></SPAN>■计量型控制图</SPAN></SPAN> </SPAN></SPAN>■</SPAN>I-MR</SPAN>管制图</SPAN></SPAN> </SPAN></SPAN>■</SPAN>X-bar</SPAN>－</SPAN>R</SPAN>图</SPAN></SPAN> </SPAN></SPAN>■</SPAN>X-bar</SPAN>－</SPAN>S</SPAN>图</SPAN></SPAN> </SPAN></SPAN>■规格和控制界限的分析</SPAN></SPAN> </SPAN></SPAN>■过程控制实例</SPAN> -- </SPAN>弯折试验</SPAN></SPAN> </SPAN></SPAN>■计数型控制图</SPAN></SPAN> </SPAN></SPAN>■</SPAN>P</SPAN>控制图</SPAN></SPAN> </SPAN></SPAN>■</SPAN>nP</SPAN>控制图</SPAN></SPAN> </SPAN></SPAN>■</SPAN>c</SPAN>控制图</SPAN></SPAN> </SPAN></SPAN>■</SPAN>u</SPAN>控制图</SPAN></SPAN> </SPAN></SPAN>■过程控制实例</SPAN></SPAN> </SPAN></SPAN>■控制图的选用原则</SPAN></SPAN> </SPAN></SPAN>■控制图诊断方法</SPAN></SPAN> </SPAN></SPAN>■使用控制图注意事项</SPAN></SPAN> </SPAN></SPAN>■练习制作控制图</SPAN>,</SPAN>并进行失控分析</SPAN></SPAN> </SPAN> 四、</SPAN>DOE/FMEA</SPAN>概述</SPAN></SPAN> |