The effects of parameter estimation on minimizing the in-control average sample size for the double sampling X bar chart

• Main Authors: Michael B.C. Khoo, M.H. Lee, W.L. Teoh, J.Y. Liew, S.Y. Teh
• Format: Article
• Language: English
• Published: Stellenbosch University 2013-11-01
• Series: South African Journal of Industrial Engineering
• Subjects: double sampling; in-control average sample size; median run length; parameter estimation
• Online Access: http://sajie.journals.ac.za/pub/article/view/555

The double sampling (DS) X bar chart, one of the most widely-used charting methods, is superior for detecting small and moderate shifts in the process mean. In a right skewed run length distribution, the median run length (MRL) provides a more credible representation of the central tendency than the average run length (ARL), as the mean is greater than the median. In this paper, therefore, MRL is used as the performance criterion instead of the traditional ARL. Generally, the performance of the DS X bar chart is investigated under the assumption of known process parameters. In practice, these parameters are usually estimated from an in-control reference Phase-I dataset. Since the performance of the DS X bar chart is significantly affected by estimation errors, we study the effects of parameter estimation on the MRL-based DS X bar chart when the in-control average sample size is minimised. This study reveals that more than 80 samples are required for the MRL-based DS X bar chart with estimated parameters to perform more favourably than the corresponding chart with known parameters.