minitab制程能力分析(參考版)
2025-04-08 13:18本頁(yè)面
【正文】 57 示例 ? 數(shù)據(jù)在 excel檔案中 58 選卜氏分佈制程能力 59 填好各項(xiàng)的參數(shù) 60 選好控制圖的判異準(zhǔn)則 61 填入選擇項(xiàng) 62 結(jié)果及輸出 63 結(jié)果解釋 ? 請(qǐng)針對(duì)前圖進(jìn)行相應(yīng)的各項(xiàng)解釋 64 Example of Capability Analysis for Multiple Variables (Nonnormal) ? 1 Open the worksheet . ? 2 Choose Stat Quality Tools Capability Analysis Multiple Variable (Nonnormal). ? 3 In Variables, enter Weight. ? 4 Check BY variables and enter Machine. ? 4 In Fit data with, choose Distribution and then select Largest extreme value. ? 5 In Lower spec, enter 27. In Upper spec, enter 35. ? 6 Click OK. 65 ? The probability plot confirms that the data follows largest extreme value distribution. For machine 1, AD = and P . For machine 2, AD = and P . ? The capability statistics are based on the , and percentiles denoted as , , and . The percentiles are calculated using the parameter estimates for the largest extreme value distribution. ? Pp is defined as the ratio of the specification range (USL LSL) to the potential process range ( ). Pp for machine 1 and machine two are and respectively, indicating that the probability that the process produces conforming frozen food packets is slightly less than . 66 ? PPL is the ratio of L
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