AbstractControl schemes that require strict distributional assumptions are called parametric control schemes. When the distributional assumptions fail to hold, nonparametric control schemes and other schemes based on more flexible probability distributions are needed. The traditional Shewhart control scheme has been improved upon using various techniques, one being the addition of non–side‐sensitive (NSS) and side‐sensitive runs‐rules. Many authors showed that side‐sensitive runs‐rules schemes are significantly superior to NSS runs‐rules schemes. In this paper, we propose side‐sensitive Shewhart‐type schemes supplemented with 2‐of‐(h + 1) standard and improved runs‐rules (where h is a nonzero positive integer) under the violation of the normality assumption for monitoring the process mean. The zero‐state and steady‐state performances of the proposed schemes are investigated using a Markov chain approach. It is observed that the proposed schemes outperform the existing schemes in many situations and possess very interesting zero‐state and steady‐state properties under normal and non‐normal distributions. An illustrative example is provided to facilitate the design and implementation of the proposed schemes.
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