A critique of a variety of “memory-based” process monitoring methods

Knoth, Sven; Saleh, Nesma A.; Mahmoud, Mahmoud A.; Woodall, W. Gill; Tercero-Gómez, Víctor G.

doi:10.1080/00224065.2022.2034487

Cited by 44 publications

(25 citation statements)

References 168 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…42,43 Some of the new memory-type monitoring methods are fundamentally flawed due to using zero-state ARL for performance comparison. Refer to Knoth et al 44 for detailed explanations.…”

Section: Memory-basedmentioning

confidence: 99%

A literature review on joint control schemes in statistical process monitoring

Jalilibal

Amiri

Khoo

2022

Quality & Reliability Eng

View full text Add to dashboard Cite

Process monitoring is regarded as a continuous phenomenon requiring careful consideration to acquire an enhanced output quality. Dispersion and location are significant parameters in the entire process, and timely detection of the changes that occur in a stable process is needed. Today, quality practitioners recommend using a single charting setup offering better capability of detecting joint changes in the parameters of a process. As provided in the literature, a detailed review paper for simultaneous monitoring is conducted in 2013 which many reaserchers were attracted to publish papers in this field. In this paper, a meticulous content analysis (on the basis of 59 reviewed papers in the field of joint monitoring from 2013 to 2021) is exploited to classify the papers that includes joint control charts for statistical process monitoring (SPM), to identify the potential topics and present some suggestions for further studies in simultaneous monitoring.

show abstract

“…42,43 Some of the new memory-type monitoring methods are fundamentally flawed due to using zero-state ARL for performance comparison. Refer to Knoth et al 44 for detailed explanations.…”

Section: Memory-basedmentioning

confidence: 99%

A literature review on joint control schemes in statistical process monitoring

Jalilibal

Amiri

Khoo

2022

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

“…Knoth et al [62] showed that the double and triple EWMA chart approach taken by Shafqat et al [26] should not be used. These charts give much greater weight to some past data values than to recent data values, resulting in poor detection capability for delayed shifts in the process.…”

Section: G Some Technical Pointsmentioning

confidence: 99%

“…Khan et al [63] recommended using a moving average statistic as input to an EWMA chart. Knoth et al [62] showed that this added complication of using one control chart statistic as input in to another control chart statistic has weak justification at best.…”

Section: G Some Technical Pointsmentioning

confidence: 99%

A Review and Perspective on Neutrosophic Statistical Process Monitoring Methods

2022

Self Cite

View full text Add to dashboard Cite

We review the literature on statistical process monitoring methods based on neutrosophic principles. We question some of the underlying assumptions and raise important questions about these and other neutrosophic statistical methods that need to be addressed before the methodology could be taken seriously.INDEX TERMS Control chart, exponentially weighted moving average (EWMA) chart, interval arithmetic, interval data, Shewhart control chart.

show abstract

“…During the last decade, many new procedures were introduced to the field of statistical process monitoring/control (SPM/C), where a substantial part should not be used in practice, as was discussed in Knoth et al (2021). [1][2][3] Less surprisingly, attempts were started to regain reputation for the affected devices. In particular, Riaz et al (2022) 4 provided new results for homogeneously weighted moving average (HWMA) control charts.…”

Section: Introductionmentioning

confidence: 99%