Abstract
The magnificent seven statistical process control (SPC) tools are commonly used to monitor the variation in the process. Control charts are the most efficient and real-time monitoring tool from the SPC toolkit. A control chart visually differentiates the effect of special or inherent cause variations and indicates the process as out-of-control when such a special cause exists. For single occasion problems, simple random sampling (SRS) is used as a sampling design. When the quality of a product is assessed at regular intervals, then modified successive sampling (MSS) is chosen as the preferred sampling mechanism. Hence, this paper intends to propose EWMA-MSS(S) and CUSUM-MSS(S) charts under MSS schemes to monitor moderate to small shifts in the location parameter of a process. We presented the performance evaluation of EWMA-MSS(S) and CUSUM-MSS(S) charts in terms of run length metrics and compared them with the Shewhart-MSS(S) control chart. The outcomes show that the EWMA-MSS(S) perform amazingly well as comp
Original language | English |
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Pages (from-to) | 2200-2217 |
Number of pages | 18 |
Journal | Quality and Reliability Engineering International |
DOIs | |
Publication status | Published - 27 Dec 2021 |