【正文】 control Interpretation : Y/N _____Stable _____Capable Interpretation : Y/N _____Stable _____Capable Exercise 3 0 2 4 6 8 0 20 40 60 80 100 120 140 160 180 200 spec spec control control 174。 simulation models – Engineering judgement (typically product eng. amp。不合格品被產(chǎn)生 – per control chart RFC ? If any individual data values falls outside the process specification limits, then disposition the affected material per the requirements specified in the respective process specification or put the material onhold for engineering disposition. 174。 6 when appropriate ? Intel建議使用 1, 2, 5, amp。 Materials Quality PCS Training Rev 3 May 21 2022 46 SPC Trend Rules Rule 8: 8 (or more) consecutive points are on both sides of the CL, but none are within 1 std dev of it. 規(guī)則 8: 連續(xù)不同側(cè) 8點(diǎn) ,沒有一點(diǎn)在 1標(biāo)準(zhǔn)差內(nèi) . Uses: Detects an increase in process variation 用途 : 察覺制程變異的增加 Example: 174。 Materials Quality PCS Training Rev 3 May 21 2022 38 How to Interpret a Control Chart? It is based on the Normal Distribution. 0 . 1 3 5 % 2 . 1 4 5 % 1 3 . 5 9 0 % 3 4 . 1 3 0 % 3 4 . 1 3 0 % 1 3 . 5 9 0 % 2 . 1 4 5 % 0 . 1 3 5 %4 3 2 1 0 1 2 3 46 8 . 2 6 %9 5 . 4 4 %9 9 . 7 3 %174。 the number of units containing undissolved flux were recorded over several lots. Make a p Chart for Undissolved Flux Interpret the control chart 174。 Materials Quality PCS Training Rev 3 May 21 2022 29 Computing Control Limits for p Chart with MRMethod ? Obtain at least k = 30 subgroups or lots. Data collected in of units inspected amp。 ranges. ? Select Control Chart from the Graph menu. ? Select Mean(thickness) amp。LCL (X) = X = = = Computing Control limits for X S Chart S Chart 187。以抽樣的標(biāo)準(zhǔn)差描點(diǎn) 187。 Standard Deviation) Chart? 為什麼要使用移動(dòng)全距方法 ? ? Most batch production processes have a larger runtorun variation than withinrun variation 批量性生產(chǎn)時(shí) ,子群組間的變異大多會(huì)大於子群組內(nèi)的變異 ? Traditional control chart formulas developed in the 20?s by Walter Shewhart considerably underestimate control limits, . too narrow 傳統(tǒng)的方法將使管制界限太窄 174。 Materials Quality PCS Training Rev 3 May 21 2022 12 ? Validate the puted control limits against data collected by replotting the control chart with data amp。 LCL: 制程穩(wěn)定情況下 , 制程性能的範(fàn)圍 174。 improve process capability. 174。174。 maintain a stable process, amp。 LCL: The range of ?usual? process performance when the process is stable. Lines drawn 3 standard deviations (3 sigma) on each side of the center line. UCL amp。 exclusion ? 超出點(diǎn)的確認(rèn)與排除 – Exclude the Outof Control (OOC) points or outliers for which there are verified/confirmed special causes from the chart – 由於顯示是特殊原因造成故將排除超出點(diǎn) – Repute the control limits, excluding the OOC points – 重新計(jì)算管制界限 – If there are fewer than 30 points remaining at any time, collect more data. It?s very important that the control limits are calculated using at least 30 subgroups. – 若資料點(diǎn)少於 30再繼續(xù)收集 . 這是很重要的 How to Setup a Control Chart? (II) Note: Refer to Appendix A for Control Charts for Limited Production, . 30 subgroups. 174。 Variability (Range amp。 Plots the standard deviation of a sample 187。CL (X) = X 187。 select Std Dev from the Statistics menu. ? Click OK. 2. Create an individuals control chart using the table of lot means amp。 Materials Quality PCS Training Rev 3 May 21 2022 28 p Chart Concept ? It plots proportion of defective units in a sample ? 每一抽樣點(diǎn)是以不良率來描點(diǎn) ? The proportion of defective units in a sample can be in terms of fraction, percent or dpm ? 不良的比率可以是分?jǐn)?shù) ,%,dpm來表示 ? It allows us to chart production processes where sample size cannot be equal ? 不同的抽樣數(shù)是允許的 174。 Materials Quality PCS Training Rev 3 May 21 2022 32 Exercise 2 The dataset contains defect levels for undissolved flux. The number of units inspected amp。 Materials Quality PCS Training Rev 3 May 21 2022 37 Control Chart Trend Rules 趨勢(shì)規(guī)則 Purpose: ? Improve the responsiveness of the control chart ? 增進(jìn)管制圖的反應(yīng) ? Detect more subtle shifts in the process more quickly ? 更快地察覺制程中細(xì)微的變化 ? Detect irregularities beyond normal 3? that indicate nonrandomness in process ? 察覺在正常 3? 界限內(nèi)的非隨機(jī)性變化 174。 Materials Quality PCS Training Rev 3 May 21 2022 45 SPC Trend Rules Rule 7: 15 (or more) consecutive points are within 1 std dev of the CL 規(guī)則 7: 連續(xù) 15點(diǎn)在 1標(biāo)準(zhǔn)差內(nèi) Uses: Detects a decrease in process variation 用途 : 察覺制程變異的降低 Example: 174。 Materials Quality PCS Training Rev 3 May 21 2022 48 Trend Rule Remendations 建議 ? All control charts should at least use the 1st rule: – Point UCL or Point LCL ? 至少須使用第 1 條 ? For an automated SPC system with automated application of SPC trend rules, it?s highly remended to add 5th rule to detect large shifts in mean, (. 2 out of 3 rule) ? 若 spc系統(tǒng)是自動(dòng)的 ,非常建議增加第 5 條 ? Add other rules depending upon – process knowledge – ability to respond – criticality of the monitor – sensitivity requirements for the monitor ? Intel does remend as a goal to use rules 1, 2, 5, amp。 nonconforming parts are produced –假如失控點(diǎn)情況無法解決 amp。 Materials Quality PCS Training Rev 3 May 21 2022 57 Specification Limits ? The region where product is known to function well in terms of performance, yield, reliability, or other desired oute – Acceptable range of values for a product parameter – Define what is acceptable/unacceptable product ? Determined by – Design requirements amp。 Materials Quality PCS Training Rev 3 May 21 2022 61 Exercise 3 0 20 40 60 80 100 120 140 160 180 200 0 2 4 6 8 spec spec control control 0 2 4 6 8 0 20 40 60 80 100 120 140 160 180 200 spec spec control control Interpretation : Y/N _____Stable _____Capable Interpretation : Y/N _____Stable _____Capable 1