s i x i

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: ‬ ‫)830.0 − 1(830.0‬ ‫590.0 =‬ ‫001‬ ‫3 + 830.0 = ‪UCL‬‬ ‫830.0 = ‪CL‬‬ ‫)830.0 − 1(830.0‬ ‫0 → 20.0− =‬ ‫001‬ ‫٨‬ ‫٤‬ ‫3 + 830.0 = ‪LCL‬‬ ‫رﺱﻢ ﺥﺮﻳﻄﺔ ﻧﺴﺒﺔ اﻟﻤﻌﻴﺐ‬ ‫‪p chart‬‬ ‫٤‬ ‫‪P Chart‬‬ ‫01.0‬ ‫63590.0=‪3.0SL‬‬ ‫00830.0=‪P‬‬ ‫000.0=‪- 3.0SL‬‬ ‫‪on‬اﻟﻨﺴﺒﺔ‬ ‫‪Proporti‬‬ ‫50.0‬ ‫00.0‬ ‫01‬ ‫9‬ ‫8‬ ‫7‬ ‫6‬ ‫5‬ ‫4‬ ‫3‬ ‫2‬ ‫1‬ ‫0‬ ‫رﻗﻢ اﻟﻌﻴﻨﺔ‬ ‫‪Sampl e Number‬‬ ‫٩‬ ‫ﺧﺮیﻄﺔ ﻋﺪد اﻟﻌﻴﻮب ﻓﻲ اﻟﻮﺡﺪة ‪c chart‬‬ ‫ﺧﺮیﻄﺔ ﻋﺪد اﻟﻌﻴﻮب هﻲ إﺡﺪى أهﻢ ﺧﺮاﺋﻂ اﻟﺘﺤﻜﻢ )ﺽﺒﻂ اﻟﺠﻮدة(‬ ‫ﻟﻠﺨﻮاص:‬ ‫•‬ ‫ﻋﺒﺎرة ﻋﻦ أﻋﺪاد ﺡﻘﻴﻘﻴﺔ )ﻻ یﻤﻜﻦ ﺡﺴﺎﺑﻬﺎ ﺑﺎﻟﻨﺴﺒﺔ اﻟﻤﺌﻮیﺔ( .‬ ‫ﺕﺒﻴﻦ هﺬﻩ اﻟﺨﺮیﻄﺔ ﻋﺪد اﻟﻌﻴﻮب‬ ‫وﺡﺪة ﻣﻦ اﻟﻤﻨﺘﺞ :‬ ‫))‪(nonconformities (defects‬‬ ‫ﻓﻲ آﻞ‬ ‫•‬ ‫•‬ ‫٥‬ ‫ﺡﺠﻢ اﻟﻮﺡﺪة یﻜﻮن ﺙﺎﺑﺖ.‬ ‫•‬ ‫٠١‬ ‫اﻟﻮﺡﺪة ﻗﺪ ﺕﻜﻮن ﻣﺜﻼ آﺮﺳﻲ، ﺹﻔﻴﺤﺔ ﺹﻠﺐ أو ﺳﻴﺎرة ...‬ ‫ﻡﺜﺎل: ﺡﺴﺎب ﻋﺪد اﻟﻌﻴﻮب )ﺧﺪوش، ﻣﺴﺎﻣﻴﺮ ﻏﻴﺮ ﻣﺜﺒﺘﺔ اﻟﺦ..( ﻓﻲ آﻞ‬ ‫آﺮﺳﻲ ﻣﻦ ﻋﻴﻨﺔ ﺕﺤﺘﻮي ﻋﻠﻰ ٠٠١ آﺮﺳﻲ‬ ‫.‬ ‫‪c Chart‬‬ ‫ﺣﺴﺎب ﺣﺪود اﻟﻀﺒﻂ‬ ‫‪Control Limits‬‬ ‫اﻟﺤﺪ اﻷﻋﻠﻰ ﻟﻠﻀﺒﻂ‬ ‫‪c‬‬ ‫3 + ‪UCL c = c‬‬ ‫‪z‬‬ ‫اﻟﺤﺪ اﻷدﻧﻰ ﻟﻠﻀﺒﻂ‬ ‫ﻋﺪد اﻟﻌﻴﻮب ﻓﻲ آﻞ وﺡﺪة ‪ci‬‬ ‫‪c‬‬ ‫ﻳﻤﺜﻞ ‪ z‬ﻡﻌﺎﻡﻞ ﺽﺮب ﻧﺴﺘﻌﻤﻠﻪ‬ ‫ﻟﺘﺤﺪﻳﺪ اﻟﺤﺪود اﻟﻤﺮاد ﺕﺤﻘﻴﻘﻬﺎ:‬ ‫;‪• z = 2 : for 95.5% limits‬‬ ‫‪• z = 3 : for 99.7% limit‬‬ ‫‪Upper Control Limit‬‬ ‫‪Lower Control Limit‬‬ ‫‪z‬‬ ‫3 − ‪LCL c = c‬‬ ‫ﻡﺘﻮﺱﻂ ﻋﺪد اﻟﻌﻴﻮب ﻓﻲ آﻞ اﻟﻮﺣﺪات‬ ‫‪k‬‬ ‫‪∑ ci‬‬ ‫1= ‪c = i‬‬ ‫‪k‬‬ ‫١١‬ ‫ﻡﺜﺎل ﻋﻤﻠﻲ ﻟﺨﺮﻳﻄﺔ ﻋﺪد اﻟﻌﻴﻮب‬ ‫‪c chart‬‬ ‫ﺵﺮآﺔ وودﻻﻧﺪ ﺕﺼﻨﻊ ورق ﻟﻄﺒﺎﻋﺔ اﻟﺠﺮاﺋﺪ. ﻓﻲ ﺁﺧﺮ ﻣﺮﺡﻠﺔ‬ ‫اﻻﻧﺘﺎج ﻗﺎم ﻣﻔﺘﺶ اﻟﺠﻮدة ﻟﺪى اﻟﺸﺮآﺔ ﺑﺎﻟﺘﻔﺘﻴﺶ ﻋﻦ ﺝﻮدة‬ ‫اﻟﻮرق ﺑﺈﺝﺮاء ﻗﻴﺎﺳﺎت ﻟﺨﺼﺎﺋﺺ اﻟﺠﻮدة ﻋﻠﻰ 5 ﻟﻔﺎت ﻣﻦ‬ ‫اﻟﻮرق اﻟﻤﺼﻨﻊ و رﺹﺪ...
View Full Document

This document was uploaded on 09/27/2013.

Ask a homework question - tutors are online