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Unformatted text preview: ﻴﻨﺔ‬ ‫ﺟﺪول ٢ – ﺟﺪول ﻥﺘﺎﺋﺞ اﻟﻘﻴﺎﺱﺎت‬ ‫٧‬ ‫1‬ ‫2‬ ‫3‬ ‫4‬ ‫5‬ ‫ﻣﺜﺎل ﻋﻤﻠﻲ‬ ‫)٣( ‪R-Charts‬‬ ‫ﻣﺘﻮﺱﻂ آﻞ‬ ‫ﻋﻴﻨﺔ ﻣﺪى آﻞ ﻋﻴﻨﺔ‬ ‫_‬ ‫‪x‬‬ ‫8105.0‬ ‫7205.0‬ ‫6205.0‬ ‫0205.0‬ ‫5405.0‬ ‫‪R‬‬ ‫8100.0‬ ‫1200.0‬ ‫7100.0‬ ‫6200.0‬ ‫2200.0‬ ‫4‬ ‫7205.0‬ ‫0205.0‬ ‫3205.0‬ ‫5105.0‬ ‫7405.0‬ ‫1200.0 = ‪R‬‬ ‫=‬ ‫7205.0 = ‪x‬‬ ‫‪Sample‬‬ ‫2‬ ‫3‬ ‫9005.0 2205.0‬ ‫4205.0 1405.0‬ ‫5305.0 6205.0‬ ‫4205.0 4305.0‬ ‫4305.0 6505.0‬ ‫1‬ ‫4105.0‬ ‫1205.0‬ ‫8105.0‬ ‫8005.0‬ ‫1405.0‬ ‫‪Sample‬‬ ‫‪Number‬‬ ‫1‬ ‫2‬ ‫3‬ ‫4‬ ‫5‬ ‫ﻣﺘﻮﺱﻂ ﻣﺪى آﻞ اﻟﻌﻴﻨﺎت‬ ‫اﻟﻘﻴﻤﺔ اﻟﻤﺘﻮﺱﻄﺔ ﻟﻤﺘﻮﺱﻄﺎت آﻞ اﻟﻌﻴﻨﺎت‬ ‫‪Microsoft Excel‬‬ ‫ﻣﺜﺎل ﻋﻤﻠﻲ‬ ‫)٤(‬ ‫‪R-Charts‬‬ ‫ﺡﺴﺎب ﺡﺪود اﻟﻀﺒﻂ ﻟﻠﻤﺪى‬ ‫282.2 = 4‪D‬‬ ‫0 = 3‪D‬‬ ‫1200.0 = ‪R‬‬ ‫97400.0 = 1200.0 ‪UCLR = D4R = 2.282 x‬‬ ‫0 = 1200.0 ‪LCLR = D3R = 0 x‬‬ ‫٨‬ ‫رﺱﻢ ﺧﺮیﻄﺔ اﻟﺘﺤﻜﻢ ﻟﻠﻤﺪى‬ ‫‪R chart‬‬ ‫اﻟﻤﺪى‬ ‫رﻗﻢ اﻟﻌﻴﻨﺔ‬ ‫ﺧﺮیﻄﺔ اﻟﺘﺤﻜﻢ ﻟﻠﻤﺘﻮﺱﻂ‬ ‫١.‬ ‫٢.‬ ‫٣.‬ ‫٤.‬ ‫٩‬ ‫‪X chart‬‬ ‫ﺕﻌﺘﺒﺮ هﺬﻩ اﻟﺨﺮیﻄﺔ ﻡﻦ أهﻢ ﺧﺮاﺋﻂ اﻟﺮﻗﺎﺏﺔ ﻋﻠﻰ ﺝﻮدة‬ ‫اﻟﻤﻨﺘﺠﺎت ﺧﻼل ﻋﻤﻠﻴﺎت اﻟﺘﺼﻨﻴﻊ. ﺕﺴﻤﺢ هﺬﻩ اﻟﺨﺮیﻄﺔ ﺏﺪراﺳﺔ‬ ‫ﺕﻐﻴﺮ اﻟﻘﻴﻢ اﻟﻤﺘﻮﺳﻄﺔ ﻓﻲ اﻟﻌﻤﻠﻴﺔ اﻟﺘﺼﻨﻴﻌﻴﺔ ﻋﻠﻰ ﻓﺘﺮات اﻻﻧﺘﺎج.‬ ‫ﺏﻌﺪ أﺧﺬ اﻟﻌﻴﻨﺎت ﻡﻦ ﺧﻂ اﻻﻧﺘﺎج و ﻗﺼﺪ اﻧﺸﺎء هﺬﻩ اﻟﺨﺮیﻄﺔ‬ ‫ﻧﻘﻮم ﺏﻤﺎ یﻠﻲ:‬ ‫ﺡﺴﺎب ﻡﺘﻮﺳﻂ آﻞ ﻋﻴﻨﺔ ‪ x‬ﻋﻠﻰ ﺡﺪة ﺙﻢ ﻡﺘﻮﺳﻂ اﻟﻤﺘﻮﺳﻄﺎت ‪.x‬‬ ‫ﺡﺴﺎب ﺡﺪود اﻟﻀﺒﻂ ﻟﻠﻤﺘﻮﺳﻂ )‪(UCL, CL, LCL‬‬ ‫رﺳﻢ ﺧﺮیﻄﺔ اﻟﻤﺘﻮﺳﻂ ﻡﻊ ﺡﺪود اﻟﻀﺒﻂ‬ ‫دراﺳﺔ اﻟﺨﺮیﻄﺔ و ﺕﺤﺪیﺪ اﺳﺒﺎب أي اﻧﺤﺮاﻓﺎت ﻗﺪ ﻧﻼﺡﻈﻬﺎ.‬ ‫ﺧﺮیﻄﺔ اﻟﺘﺤﻜﻢ ﻟﻠﻤﺘﻮﺱﻂ‬ ‫‪X chart‬‬ ‫ﺡﺴﺎب ﺡﺪود اﻟﻀﺒﻂ‬ ‫‪UCL x = x + A 2 R‬‬ ‫ﻡﻌﺎﻡﻼت ﺙﺎﺏﺘﺔ )ﺝﺪول ١(‬ ‫‪LCL x = x − A 2 R‬‬ ‫ﻡﺘﻮﺳﻂ ﻗﻴﻢ‬ ‫ﻡﺪى اﻟﻌﻴﻨﺎت‬ ‫‪s‬‬ ‫‪i‬‬ ‫‪∑R‬‬ ‫1= ‪i‬‬ ‫‪s‬‬ ‫=‬ ‫‪R‬...
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This document was uploaded on 09/27/2013.

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