Abstract
AbstractIn this paper, we propose an auxiliary‐information‐based (AIB) double EWMA‐ (AIB‐DEWMA‐) chart for monitoring the process mean. The DEWMA‐ chart encompasses the EWMA‐ and AIB‐EWMA‐ charts. The Monte Carlo simulations are used to compute the run length characteristics of the AIB‐DEWMA‐ chart. Based on detailed run length comparisons, it is found that the AIB‐DEWMA‐ chart may uniformly and substantially outperform the AIB‐EWMA‐ chart when detecting different shifts in the process mean. In addition, the AIB‐DEWMA‐ chart is uniformly more sensitive than the DEWMA‐ chart. Similar trends are observed when comparing these control charts with the variable sampling interval feature. A real dataset is also considered to demonstrate the implementation of the proposed chart.
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