25_数据收集_RB_Data_Collection.ppt

Data Types数据类型 Creating a Data Collection Check Sheet创建一份数据收集检查表 Version 8.2 (7-29-06) All Rights Reserved - The Manitowoc Company * Data Collection Steps (Continued)数据收集步骤 Step 3: Validate the measurement system. 步骤3：确认测量系统 Perform a gage RR进行测量系统分析 Understand how much variation is in the measurement system.了解测量系统本身导致的变异的大小 Step 4: Begin collecting the data. 步骤4：开始收集数据 Train the data collectors培训数据收集人员 Error-proof data collection procedures可防错的数据收集流程 Be there in the beginning在数据收集开始的时候到现场去 Decide how you will display your data决定如何展示你的数据 Version 8.2 (7-29-06) All Rights Reserved - The Manitowoc Company * Data Collection Steps (Continued)数据收集步骤 Step 5: Continue improving measurement consistency 步骤5：不断提高测量的一致性 Questions to ask: 问题： Are measurements consistent? 测量系统一致么？ How do you know?你怎么知道？ Repeatable　／　重复性 Reproducible　／　再现性 Stable　／　稳定性 Does the data exhibit strange features?数据是否存在其他奇怪／特殊的特性？ Version 8.2 (7-29-06) All Rights Reserved - The Manitowoc Company * Tips on using input and output data使用输入和输出数据 The goal is to find X’s (Process and Input Measures) that are leading indicators of your critical output (Y)目的是找到与关键输出数据Ｙ关联并可以导致输出差异的输入数据 That means the X’s will give you an early warning about potential problems with the Y.表示输入数据可以在潜在输出问题发生前，给你一个早期的报警 Such X’s are also key to finding root causes (the focus on the Analyze phase) and to catching problems before they become serious (Control phase)输入数据可以帮助找到根本原因（通常在分析阶段）并且可以在问题变得严重前抓住问题 Use your SIPOC and sub process maps to help achieve a balance of both input and output measures使用SIPOC和微观流程图帮助获得输入和输出的对应关系 In general, you will want to collect data on the output measures at the start of your project to establish baselines通常在开始建立项目的基准水平时，你需要收集关于输出的数据 Begin collecting data on at least one process and/or measure early in the project to help generate initial data for Analyze.在项目过程中，需要尽早开始收集至少一个流程或测量的数据，以便生成初始数据分析 It is seldom wise to use old data only. Existing data is best used to establis