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Developing control charts for monitoring time interval between nonconforming items in high quality processes | |
Author | Zin Maung Maung Phyo Htet |
Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Industrial Engineering and Management, School of Engineering and Technology |
Publisher | Asian Institute of Technology |
Abstract | High quality processes with very low rate of non-conforming can be found in many industries nowadays. For these processes, the traditional Shewhart-control charts such as p-chart, u-chart and np-chart are not applicable. Due to low fraction of non-conforming, it is better to establish the control chart to monitor the time between successive defectives of the process. In fact, time between successive defectives of high quality processes usually follow exponential distribution. Due to the fact that the exponential distribution is highly skewed, some transformation techniques should be applied to help developing the control charts with unbiased in-control average run-length (ARL). In this research, two different approaches have been applied using Weibull transformation and Cornish-Fisher expansion to develop unbiased ARLs control charts in such a way that the probability of false alarm is at acceptable value |
Year | 2015 |
Type | Thesis |
School | School of Engineering and Technology (SET) |
Department | Department of Industrial Systems Engineering (DISE) |
Academic Program/FoS | Industrial Systems Engineering (ISE) |
Chairperson(s) | Hyunh Trung Luong; |
Examination Committee(s) | Bohez, Erik L. J.;Pisut Koomsap; |
Scholarship Donor(s) | Ministry of Foreign Affairs, Norway; |