DC Field | Value | Language |
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dc.contributor.author | Kashif, Muhammad | - |
dc.contributor.author | Aslam, Muhammad | - |
dc.contributor.author | Jun, Chi-Hyuck | - |
dc.contributor.author | Al-Marshadi, Ali Hussein | - |
dc.contributor.author | Rao, G. Srinivasa | - |
dc.date.accessioned | 2018-06-15T05:25:57Z | - |
dc.date.available | 2018-06-15T05:25:57Z | - |
dc.date.created | 2017-12-04 | - |
dc.date.issued | 2017-11 | - |
dc.identifier.issn | 2193-567X | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/50468 | - |
dc.description.abstract | The process capability indices (PCIs) Cp and Cpk are commonly used in industry to measure the process performance. The implementation of these indices required that process should follow a normal distribution. However, in many cases the underlying processes are non-normal which influence the performance of these indices. In this paper, median absolute deviation (MAD) is used as a robust measure of variability in two PCIs, Cp and Cpk . Extensive simulation experiments were performed to evaluate the performance of MAD-based PCIs under low, moderate and high asymmetric condition of Weibull, Log-Normal and Gamma distributions. The point estimation of MAD-based estimator of Cp and Cpk is encouraging and showed a good result in case of Log-Normal and Gamma distributions, whereas these estimators perform very well in case of Weibull distribution. The comparison of quantile method and MAD method showed that the performance of MAD-based PCIs is better for Weibull and Log-Normal processes under low and moderate asymmetric conditions, whereas its performance for Gamma distribution remained unsatisfactory. Four bootstrap confidence intervals (BCIs) such as standard (SB), percentile (PB), bias-corrected percentile (BCPB) and percentile-t (PTB) were constructed using quantile and MAD methods under all asymmetric conditions of three distributions under study. The bias-corrected percentile bootstrap confidence interval (BCPB) is recommended for a quantile (PC)-based PCIs, whereas CIs were recommended for MAD-based PCIs under all asymmetric conditions of Weibull, Log-Normal and Gamma distributions. A real-life example is also given to describe and validate the application of proposed methodology. | - |
dc.language | English | - |
dc.publisher | SPRINGER HEIDELBERG | - |
dc.relation.isPartOf | Arabian Journal For Science and Engineering | - |
dc.title | The Efficacy of Process Capability Indices Using Median Absolute Deviation and Their Bootstrap Confidence Intervals (vol 42, pg 4941, 2017) | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/s13369-017-2807-5 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | Arabian Journal For Science and Engineering, v.42, no.11, pp.4957 - 4957 | - |
dc.identifier.wosid | 000412995500039 | - |
dc.date.tcdate | 2018-03-23 | - |
dc.citation.endPage | 4957 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 4957 | - |
dc.citation.title | Arabian Journal For Science and Engineering | - |
dc.citation.volume | 42 | - |
dc.contributor.affiliatedAuthor | Jun, Chi-Hyuck | - |
dc.identifier.scopusid | 2-s2.0-85031493124 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.type.docType | Correction | - |
dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
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