Abstract
Goal: The objective is to conclude, based on a comparative study, if there is a significant difference in sensitivity between the application of MCE and the individual application of the CUSUM or EWMA chart, i.e., greater sensitivity particularly for cases of lesser magnitude of change.
 Design/Methodology/Approach: These are an applied research and statistical techniques such as statistical control charts are used for monitoring variability. Results: The results show that the MCE chart signals a process out of statistical control, while individual EWMA and CUSUM charts does not detect any situation out of statistical control for the data analyzed.
 Limitations: This article is dedicated to measurable variables and individual analysis of quality characteristics, without investing in attribute variables. The MCE chart was applied to items that are essential to the productive process development being analysed.
 Practical Implications: The practical implications of this study can contribute to: the correct choice of more sensitive control charts to detect mainly small changes in the location (mean) of processes; provide clear and accurate information about the fundamental procedures for the implementation of statistical quality control; and encourage the use of this quality improvement tool.
 Originality/Value: The MCE control chart is a great differential for the improvement of the quality process of the studied company because it goes beyond what CUSUM and EWMA control charts can identify in terms of variability.
Highlights
The Statistical Process Control (SPC), in particular, quality control techniques, such as control charts, have become increasingly important for the effective systematic monitoring of quality characteristics
Our work is divided into four sections: section 2 presents the theoretical framework involving the concepts and fundamentals of the two classical memory-type Exponentially Weighted Moving Average (EWMA) and Cumulative Sum (CUSUM) control charts and recent mixed memory-type Mixed EWMA-CUSUM (MEC) and Mixed CUSUM-EWMA (MCE) charts, with the combination of statistical parameters of these two charts; Section 3 is the application of the proposed methodology for the MCE by using the actual data of a manufacturing process and, section 4 presents the final considerations
As an application alternative to monitor the location of a manufacturing process of rubber products, the recent Mixed CUSUM-EWMA (MCE) control chart structure with memory is under research
Summary
The Statistical Process Control (SPC), in particular, quality control techniques, such as control charts, have become increasingly important for the effective systematic monitoring of quality characteristics. After the development of the classical CUSUM and EWMA control charts, a variety of investigations involving fine-tuning and modifications for the effective monitoring of parameters and improving the quality of process outputs was proposed in order to further improve the performance of these charts and increase the detection abilities of different types of control charts Some researchers, such as Lucas (1982), proposed a combined Shewhart-CUSUM quality control design for efficient detection of large and small changes. MEC and MCE control charts are still under researching in literature and can be found in previous studies (Aslam, 2016; Zaman et al 2016, Lu, 2017; Osei-Aning et al, 2017) The application of this new mixed memory-type control chart configuration in a rubber products manufacturing process is proposed in order to further improve the sensitivity of the MCE chart structure, for changes of lesser magnitude of this process. Our work is divided into four sections: section 2 presents the theoretical framework involving the concepts and fundamentals of the two classical memory-type EWMA and CUSUM control charts and recent mixed memory-type MEC and MCE charts, with the combination of statistical parameters of these two charts; Section 3 is the application of the proposed methodology for the MCE by using the actual data of a manufacturing process and, section 4 presents the final considerations
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