ASTM D5406-1993(2016) Standard Practice for Rubber&x2014 Calculation of Producers Process Performance Indexes《橡胶的标准实施规程&x2014 生产商过程性能指数的计算》.pdf
《ASTM D5406-1993(2016) Standard Practice for Rubber&x2014 Calculation of Producers Process Performance Indexes《橡胶的标准实施规程&x2014 生产商过程性能指数的计算》.pdf》由会员分享,可在线阅读,更多相关《ASTM D5406-1993(2016) Standard Practice for Rubber&x2014 Calculation of Producers Process Performance Indexes《橡胶的标准实施规程&x2014 生产商过程性能指数的计算》.pdf(3页珍藏版)》请在麦多课文档分享上搜索。
1、Designation: D5406 93 (Reapproved 2016)Standard Practice forRubberCalculation of Producers Process PerformanceIndexes1This standard is issued under the fixed designation D5406; the number immediately following the designation indicates the year oforiginal adoption or, in the case of revision, the ye
2、ar of last revision. A number in parentheses indicates the year of last reapproval. Asuperscript epsilon () indicates an editorial change since the last revision or reapproval.1. Scope1.1 This practice provides a calculation procedure and aformat for reporting the process performance of a manufactur
3、-ing operation for a rubber or rubber product.1.2 This practice is specifically designed to be used fortechnically significant properties of the final product.2. Referenced Documents2.1 Quality Assurance for the Chemical and ProcessIndustries, American Society for Quality Control, Chemicaland Proces
4、s Industries Division, Chemical Interest Committee,1987.23. Terminology3.1 Definitions of Terms Specific to This Standard:3.1.1 common cause variationthat residual variation in-herent in any process that (1) is operating in a state of statisticalcontrol, and (2) is operating at some recognized or as
5、certainedlevel of technological competence.3.1.2 lower specification limit (LSL)the producers mini-mum permissible value of any relevant measured productproperty.3.1.3 Pp producers process performance indexthe ratioof the difference (USL LSL) to the total process variation;the index does not conside
6、r where the process is centered. (See7.4.)3.1.4 Ppk producers process performance indextheminimum of two ratios: (1) the ratio of the difference(USL process mean) to one-half of the total processvariation, or (2) the ratio of the difference (processmean LSL) to one-half of the total process variatio
7、n; themagnitude of the minimum index value, used with the Ppindex, indicates how well the process mean is centered. (See7.5.)3.1.5 special cause variationthat variation attributable tocertain specific or assignable sources that have been (or maybe) discovered through an investigation of the process.
8、3.1.6 target valuethe aiming point of the process; this isoften (USL + LSL) 2.3.1.7 total process variationa range, along the measuredproperty scale, defined as six times the standard deviation(determined under specified process conditions); the variationmay contain either common or combined common
9、and specialcause sources.3.1.8 upper specification limit (USL)the producers maxi-mum permissible value of any relevant measured productproperty.4. Summary of Practice4.1 During the production of any product, certain physicalor chemical properties, or both, are normally measured tocontrol the propert
10、ies of the final product. When enough datahave been accumulated to form a sufficient database, it ispossible to determine the centering (mean) and variation (rangeor standard deviation) of the process property distribution.These results may be informally compared to the desired targetand specificati
11、on limits to determine if the process is producingan acceptable product.4.2 On a more formal basis, the two process performanceparameters, the “process mean” and the “standard deviation,”are used to calculate two Producers Process PerformanceIndexes designated as Pp and Ppk. These indexes allow asta
12、ndardized comparison of an actual process performance tothe general specifications, the comparison of different pro-cesses for producing the same product, or comparison of thesame process at different times.5. Significance and Use5.1 This practice is used to evaluate the conformance of aproduction p
13、rocess to specifications when (1) special causes ofvariation may be present, and (2) the process may not be in astate of statistical control. This evaluation may also be used tocompare different manufacturing operations for conformanceto specifications.1This practice is under the jurisdiction ofASTM
14、 Committee D11 on Rubber andis the direct responsibility of Subcommittee D11.16 on Application of StatisticalMethods.Current edition approved June 1, 2016. Published July 2016. Originally approvedin 1993. Last previous edition approved in 2011 as D5406 93 (2011). DOI:10.1520/D5406-93R16.2Available f
15、rom American Society for Quality (ASQ), 600 N. Plankinton Ave.,Milwaukee, WI 53203, http:/www.asq.org.Copyright ASTM International, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959. United States16. Background and Precautions6.1 A process is said to be in a state of statistical c
16、ontrolwhen there are only common causes of variation present (noassignable causes).Astate of statistical control is a requirementto perform a process capability calculation which can be usedfor prediction. A state of statistical control is not required toperform the process performance calculations
17、covered by thispractice.6.2 Although the defining calculation equations for theproducers process performance indexes (Pp and Ppk) givenin 7.4 and 7.5 bear a resemblance to the defining equations forthe process capability indexes (Cp and Cpk), a legitimatecalculation of Cp and Cpk can be made only wh
18、en a process isin a state of statistical control. The symbols Pp and Ppk havebeen selected to represent the producers process performanceindexes to distinguish them from other capability and processperformance indexes.6.3 The Pp and Ppk indexes are historical in nature. Theyindicate whether or not t
19、he process variation could have metthe specifications over the time period covered by the data.Since a state of statistical control is not required to do thesecalculations, the indexes can not be used to predict futureperformance.6.4 For the best understanding of the information presented,associated
20、 control charts, histograms, performance, and capa-bility indexes should be reviewed.6.5 The formula for calculating the standard deviation (7.3)will be used for test results which have a normal (Gaussian) ornon-normal distribution. Although possible presence of specialcause variation could also cau
21、se the results to be non-normallydistributed, the calculation of Pp and Ppk indexes from suchnon-normally distributed test results is useful for the purposesof this standard (5.1).6.6 The selection of the time period covered by the data setis critical if the process is known, or suspected, to haveti
- 1.请仔细阅读文档,确保文档完整性,对于不预览、不比对内容而直接下载带来的问题本站不予受理。
- 2.下载的文档,不会出现我们的网址水印。
- 3、该文档所得收入(下载+内容+预览)归上传者、原创作者;如果您是本文档原作者,请点此认领!既往收益都归您。
下载文档到电脑,查找使用更方便
10000 积分 0人已下载
下载 | 加入VIP,交流精品资源 |
- 配套讲稿:
如PPT文件的首页显示word图标,表示该PPT已包含配套word讲稿。双击word图标可打开word文档。
- 特殊限制:
部分文档作品中含有的国旗、国徽等图片,仅作为作品整体效果示例展示,禁止商用。设计者仅对作品中独创性部分享有著作权。
- 关 键 词:
- ASTMD540619932016STANDARDPRACTICEFORRUBBERX2014CALCULATIONOFPRODUCERSPROCESSPERFORMANCEINDEXES 橡胶 标准

链接地址:http://www.mydoc123.com/p-519704.html