Attribute control chart based on SkSP-R scheme under assumption of log-logistic distribution

In this paper, we presented a SkSP-R sampling inspection plan based on attribute control chart for situations where units lifetimes follow log-logistic (LL) distribution. Control limits of proposed control chart are evaluated for different choices of parameters and also discussed the trend of control limits for better understanding of effect of parameters on control limits. The findings of the proposed control chart is listed in bullet points in description of tables section. The presented tables are explained in a good manner. A hypothetical situation is created by using simulated data to illustrate the working of proposed control chart. The application of suggested control chart is explained using a real-world scenario.

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Publication Details

Journal
International Journal of Productivity and Quality Management
Published
2025-01-01
DOI
https://doi.org/10.1504/ijpqm.2025.145572
Primary Topic
Advanced Statistical Process Monitoring
Type
article
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article

Attribute control chart based on SkSP-R scheme under assumption of log-logistic distribution

Peter Josephat Kirigiti, Harsh Tripathi, G. Srinivas Rao
International Journal of Productivity and Quality Management
Advanced Statistical Process Monitoring
article

Attribute control chart based on SkSP-R scheme under assumption of log-logistic distribution

Peter Josephat Kirigiti, Harsh Tripathi, G. Srinivas Rao
article en

Abstract

In this paper, we presented a SkSP-R sampling inspection plan based on attribute control chart for situations where units lifetimes follow log-logistic (LL) distribution. Control limits of proposed control chart are evaluated for different choices of parameters and also discussed the trend of control limits for better understanding of effect of parameters on control limits. The findings of the proposed control chart is listed in bullet points in description of tables section. The presented tables are explained in a good manner. A hypothetical situation is created by using simulated data to illustrate the working of proposed control chart. The application of suggested control chart is explained using a real-world scenario.

International Journal of Productivity and Quality ManagementVol. 44(4)
The University of Dodoma (TZ), MIT Art, Design and Technology University (IN)
Openalex Percentile: Top 93%
Advanced Statistical Process Monitoring
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Attribute control chart based on SkSP-R scheme under assumption of log-logistic distribution — Peter Josephat Kirigiti, Harsh Tripathi, et al. · International Journal of Productivity and Quality Management (2025) | TGRS Research Map | TGRS