Non-parametric progressive signed-rank control chart for monitoring the process location. Issue 12 (13th August 2022)
- Record Type:
- Journal Article
- Title:
- Non-parametric progressive signed-rank control chart for monitoring the process location. Issue 12 (13th August 2022)
- Main Title:
- Non-parametric progressive signed-rank control chart for monitoring the process location
- Authors:
- Abbas, Zameer
Nazir, Hafiz Zafar
Akhtar, Noureen
Abid, Muhammad
Riaz, Muhammad - Abstract:
- Abstract : In every process of the manufacturing and service industry, there exist variations. Quality practitioners desire to avoid these variations to maintain and improve the quality level of products and services. The control charts are commonly applied under the assumption of normality, however, when the underlying assumption is not valid, nonparametric (NP) control charts become alternatives for quality engineers and practitioners. In this article, an NP progressive mean control chart based on Wilcoxon signed-rank statistic (NPPM-SR) has been proposed for prompt detection of shifts in the process target. The NPPM-SR chart proves in-control robust and much effective performance in spotting deviations in the process location for heavy-tailed and skewed distributions. The run-length distribution performance of the proposed NPPM-SR chart for some selected continuous symmetrical distributions; normal, t, Laplace, logistic and contaminated normal distributions are evaluated under zero- and steady states using average run length (ARL) and some other run-length characteristics. The proposed NPPM-SR chart is compared with existing NP counterparts such as; NP exponentially weighted moving average sign (NPEWMA-SN) chart, NP EWMA based on Wilcoxon signed-rank statistic (NPEWMA-SR) chart and NP cumulative sum based on Wilcoxon signed-rank statistic (NPCUSUM-SR) chart. For the comparative analysis, the parametric competitors such as; traditional EWMA (EWMA- X ¯ ) chart and DoubleAbstract : In every process of the manufacturing and service industry, there exist variations. Quality practitioners desire to avoid these variations to maintain and improve the quality level of products and services. The control charts are commonly applied under the assumption of normality, however, when the underlying assumption is not valid, nonparametric (NP) control charts become alternatives for quality engineers and practitioners. In this article, an NP progressive mean control chart based on Wilcoxon signed-rank statistic (NPPM-SR) has been proposed for prompt detection of shifts in the process target. The NPPM-SR chart proves in-control robust and much effective performance in spotting deviations in the process location for heavy-tailed and skewed distributions. The run-length distribution performance of the proposed NPPM-SR chart for some selected continuous symmetrical distributions; normal, t, Laplace, logistic and contaminated normal distributions are evaluated under zero- and steady states using average run length (ARL) and some other run-length characteristics. The proposed NPPM-SR chart is compared with existing NP counterparts such as; NP exponentially weighted moving average sign (NPEWMA-SN) chart, NP EWMA based on Wilcoxon signed-rank statistic (NPEWMA-SR) chart and NP cumulative sum based on Wilcoxon signed-rank statistic (NPCUSUM-SR) chart. For the comparative analysis, the parametric competitors such as; traditional EWMA (EWMA- X ¯ ) chart and Double EWMA- X ¯ (DEWMA- X ¯ ) control charts are also included in this study. The proposed NPPM-SR charting scheme under zero-state has been found efficient as compared to steady-state and its existing counterparts. The piston rings data and simulated data have been taken for the illustration of the proposal. … (more)
- Is Part Of:
- Journal of statistical computation and simulation. Volume 92:Issue 12(2022)
- Journal:
- Journal of statistical computation and simulation
- Issue:
- Volume 92:Issue 12(2022)
- Issue Display:
- Volume 92, Issue 12 (2022)
- Year:
- 2022
- Volume:
- 92
- Issue:
- 12
- Issue Sort Value:
- 2022-0092-0012-0000
- Page Start:
- 2596
- Page End:
- 2622
- Publication Date:
- 2022-08-13
- Subjects:
- Average run length -- manufacturing process -- nonparametric control charts -- piston ring -- Wilcoxon signed-rank
62G35 -- 62Gxx -- 62P30 -- 62Pxx
Mathematical statistics -- Data processing -- Periodicals
Digital computer simulation -- Periodicals
519.5028505 - Journal URLs:
- http://www.tandfonline.com/loi/gscs20 ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/00949655.2022.2043324 ↗
- Languages:
- English
- ISSNs:
- 0094-9655
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5066.820000
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