Control charts for monitoring process capability index using median absolute deviation for some popular distributions
dc.contributor.author | Aslam, Muhammad | |
dc.contributor.author | Rao, G. Srinivasa | |
dc.contributor.author | AL-Marshadi, Ali Hussein | |
dc.contributor.author | Ahmad, Liaquat | |
dc.contributor.author | Jun, Chi-Hyuck | |
dc.date.accessioned | 2020-11-25T08:04:00Z | |
dc.date.available | 2020-11-25T08:04:00Z | |
dc.date.issued | 2019 | |
dc.description | Abstract. Full text article available at https://doi.org/10.3390/pr7050287 | en_US |
dc.description.abstract | A control chart monitoring the process capability index (PCI) using median absolute deviation (MAD) is proposed to analyze the industrial process performance. Extensive simulation studies were carried out to evaluate the performance of MAD-based PCI control charts under the low, moderate, and high asymmetric conditions when the process characteristic follows Weibull, log-normal, and gamma distributions. The performance of the proposed control charts was evaluated based on the average run lengths. The practical implementation of the proposed charts was also illustrated with industrial data. | en_US |
dc.identifier.citation | Aslam, M., Rao, G. S., AL-Marshadi, A. H., Ahmad, L., & Jun, C. H. (2019). Control charts for monitoring process capability index using median absolute deviation for some popular distributions. Processes, 7(5), 287. | en_US |
dc.identifier.other | DOI: 10.3390/pr7050287 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12661/2612 | |
dc.language.iso | en | en_US |
dc.publisher | Multidisciplinary Digital Publishing Institute | en_US |
dc.subject | Process Capability Index | en_US |
dc.subject | PCI | en_US |
dc.subject | Median Absolute Deviation | en_US |
dc.subject | MAD | en_US |
dc.subject | Control chart | en_US |
dc.subject | Average run length | en_US |
dc.subject | Non-normal distribution | en_US |
dc.title | Control charts for monitoring process capability index using median absolute deviation for some popular distributions | en_US |
dc.type | Article | en_US |