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Non-Normal Process Capability Index Estimation and Sampling Design

54.4854.4954.5 crankshaft crankshaft journal sample data in Figure 3 sample data normal probability graph of the estimated failure rate of products and the design of sampling programs will have a serious impact. Firstly, using different data conversion,[link widoczny dla zalogowanych], on the quality characteristics of non-normal state of being,[link widoczny dla zalogowanych], and then calculate the process capability index, calculated to overcome the deficiencies of the original. Process capability index is also discussed lower confidence limit and sampling capacity, and the relationship between the rate of product failure, given the non-normal conditions, sampling program design process and the actual business process data validation using the program reasonably sex. Should be noted that: In this paper cited data conversion means 6 only apply to those who are close to the normal form of a skewed distribution, its role is essentially the distribution of data skewness and kurtosis adjusted appropriately, so close to being state distribution. When the actual distribution is far from the state, data conversion can not be achieved alone is the State of. At this point you can consider using Johnson curves, Pearson curves and other methods to estimate the fitting process capability. ... References: [1] Wei Shizhen, Yu-Qi Han. Process capability index in the study of mass loss [J]. Engineering and Engineering Management, 2002,16 (4) :64-66 [2] ZacharyGStoumbos. PrOCeSScapabilityindices: overviewandextensions [J]. NonlinearAnalysis: RealwdApplications, 2O02,[link widoczny dla zalogowanych], 3 (2) :191-210. [3] HE Zhen, QI Shi, Zhang Shenghu. Process Capability Analysis and Evaluation of Some Problems [J]. Industrial Engineering, 2000,[link widoczny dla zalogowanych],3 (2) :25-27. [4] Paul Chesterton Petty. Non-normal process capability under the conditions of measurement [J]. World Standardization & Quality Management, 1997,34 ( Cool

: 14_17. [5] GunterBH. I11eu5eandabuseofC [J]. Qualityprogress, 1989,22 (3) :108-109 .16] IafisArmandoRosasRivem, NormaFHubele, FrederickPlaw-rence. Cindexestimationusingdatatransformation [C]. 17tlIInternationalConferenceonComputersandIndustrialEngineeringPhoenix, UnitedStates: PergamonPress ,1995.55-58. [7] ChouYM, OwenDB, BorregoASA. Lowercorgidencelimitsonprocesscapabilityindices [JJ. JournalofQuaUtyTechnology, 1990,22 (3) :223-229. [8] LeroyAFranklin. Samplesizedeterminationforlowerconfidencelimitsforestimatingprocesscapabilityindices [J]. Computer & IndustrialEngineering, 1999,36 (3) :603-614. [9] BisselAF. Howreliableisyourcapabilityindex [J]? Apph ~ Statistics,[link widoczny dla zalogowanych], 1990,39 (6) :331-34O. [10] Zhou Ji Xiang, Mao poetry loose. Statistical methods of quality management [M]. Beijing: China Statistics Press ,1999.45-70. [11] NicholasRF. UsingJohnsoncurvetodescribenon-nomlalpm-cessdata [J]. Qualityengineering, 1996,9 (2) :329-336. [12] Xiao-Lin Zheng, Zheng Xijun, Yu Zhonghua. Johnson curve fitting based on non-normal process capability index estimation method [J]. Mechanical Science and Technology, 2002,21 (6) :878-880.

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