nokia生產(chǎn)過程控制全球培訓(xùn)教材-wenkub.com
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【正文】 2023年 4月 上午 7時 15分 :15April 1, 2023 ? 1業(yè)余生活要有意義，不要越軌。 07:15:5607:15:5607:15Saturday, April 1, 2023 ? 1知人者智，自知者明。 上午 7時 15分 56秒 上午 7時 15分 07:15: ? 楊柳散和風(fēng)，青山澹吾慮。 2023年 4月 1日星期六 上午 7時 15分 56秒 07:15: ? 1楚塞三湘接，荊門九派通。 07:15:5607:15:5607:154/1/2023 7:15:56 AM ? 1成功就是日復(fù)一日那一點點小小努力的積累。 2023年 4月 上午 7時 15分 :15April 1, 2023 ? 1行動出成果，工作出財富。 07:15:5607:15:5607:15Saturday, April 1, 2023 ? 1乍見翻疑夢，相悲各問年。 NOKIA 2023 ? 靜夜四無鄰，荒居舊業(yè)貧。 NOKIA 2023 Section 5. Confidence of Cpk 53 169。 NOKIA 2023 Graphical Presentation: Histogram ? What kind of distribution? Location versus tolerance area Width (deviation) ? Example : Cp Pp ? Cpk Ppk 49 169。 NOKIA 2023 Section 4. Use of the NMP Data Collection Spreadsheet 45 169。 NOKIA 2023 Estimate Cp and Cpk? A) LSL USL A) Mean and nominal USL LSL 6*s USL Mean Mean LSL 3*s 41 169。 NOKIA 2023 The Effects of Cpk and Cp on FFR C p k Cp Pp m d e f e c t sT o t a l n u m b e r o f d e f e c t s f o r 5 0 , 0 0 0 , 0 0 0 p a rt sT o t a l n u m b e r o f d e f e c t s i f p h o n e h a s 1 0 o f t h e s e p a rt s0 . 8 1 . 3 3 8 , 2 0 0 4 1 0 , 0 0 0 4 , 1 0 0 , 0 0 01 1 . 3 3 1 , 3 5 0 6 7 , 5 0 0 6 7 5 , 0 0 01 . 3 3 1 . 3 3 63 3 , 1 5 0 3 1 , 5 0 01 . 3 3 1 . 6 7 33 1 , 6 5 0 1 6 , 5 0 01 . 5 0 1 . 5 0 7 350 3 , 5 0 01 . 6 7 1 . 6 7 1 30 3002 . 0 0 2 . 0 0 0 0 138 169。 NOKIA 2023 Cpk With a 2sigma safety margin 3 sST + 3 sST LCL UCL LSL USL Mean value = Nominal value or Target ?Requirement for Cp and Cpk is min. is a ratio of = 5/3 or 10/6. 6 * standard deviation 10 * standard deviation 2 * standard deviation 2 * standard deviation 34 169。 NOKIA 2023 Defining Cp and Pp Sample mean Process variation 6*s stp sLSLUSLC*6? USLLSL LSL USL Nominal dim ltp sLSLUSLP*6?The tolerance area divided by the total process variation, irrespective of process centring. 30 169。 NOKIA 2023 The difference between the standard deviations sLT and sST gives an indication of how much better one can do when using appropriate production control, like Statistical Process Control (SPC). s x x x x x xNLTN? ? ? ? ? ? ??( ) ( ) . . . ( )1 2 2 2 21s R N d R dST jjN????? ???? ???12 2* *Shortterm standard deviation : Longterm standard deviation : The difference between sST and sLT 26 169。 NOKIA 2023 ? sST often notated as ??or sigma, is another measure of dispersion or variability and stands for “shortterm standard deviation”, which measures the variability of a process or system using “rational” subgrouping. s R N d R dST jjN????? ???? ???12 2* *where is the range of subgroup j, N the number of subgroups, and d2* depends on the number N of subgroups and the size n of a subgroup (see next slide) R X Xj j j? ?ma x mi nWhat Measurements Can Be Used to Describe Process variation? 22 169。 NOKIA 2023 What Measurements Can Be Used to Describe a Process or System ? x x x xN N? ? ? ?1 2 . . .Example: x1 = 5 x2 = 7 x3 = 4 x4 = 2 x5 = 6 62475 ???????x? mean (average) or describes the location of the distribution x? 181。 NOKIA 2023 The Bell Shaped (Normal) Distribution ? Symmetrical shape with a peak in the middle of the range of the data. ? Indicates that the input variables (X39。 NOKIA 2023 Process Capability What is it? ? Process Capability is a measure of the inherent capability of a manufacturing process to be able to consistently produce ponents that meet the required design specifications ? Process Capability is designated by Cp and Cpk ? Process Performance is a measure of the performance of a process to be able to consistently produce ponents that meet the required design specifications. Process Performance includes special causes of variation not present in Process Capability ? Process Performance is designated Pp and Ppk 13 169。 NOKIA 2023 Shewhart (1931) The Two Causes of Variation ? Common Causes: –Causes that are implemented in the process due to the design of the process, and affect all outes of the process –Identifying these types of causes requires methods such as Design of Experiment (DOE), etc. ? Special Causes: –Causes that
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