The process capability index, Cpk, is extensively used to assess process performance in manufacturing industry. Statistical hypothesis testing or an interval estimation of a single Cpk had been derived under a normally distributed process. However, the difference between two process capability indices, Cpk
1 - C pk 2 , cannot be inferred statistically because of the complexity of the sampling probability theory. This study proposes a bootstrap resampling simulation method to construct the biased corrected percentile bootstrap (BCPB) confidence interval of (C pk 1 - C pk 2 ), which can be used to select the better of two suppliers. The various simulation results indicate that the bootstrap confidence interval of (C pk 1 - C pk 2 ) can be employed to evaluate effectively the difference between the performance of two suppliers.
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ID="A1"Correspondance and offprint requests to: Dr. J.-P. Chen, Department of Industrial Engineering and Management, National Chin-Yi Institute of Technology, 35 Lane 215 Section 1, Chung Shan Road, Taiping, Taichung 411, Taiwan. E-mail: chen504@chinyi.ncit.edu.tw
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Tong, L., Chen, J. Bootstrap Confidence Interval of the Difference Between Two Process Capability Indices . Int J Adv Manuf Technol 21, 249–256 (2003). https://doi.org/10.1007/s001700300029
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DOI: https://doi.org/10.1007/s001700300029