Constrained Optimal Design of $bar{X}$ Control Chart for Correlated Data under Weibull Shock Model with Multiple Assignable Causes and Taguchi Loss Function

Naderi, Mohammad Hossein; Seif, Asghar; Moghadam, M. Bameni

doi:10.29252/jsri.15.1.1

Cited by 2 publications

(2 citation statements)

References 38 publications

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“…In many SPC research, uniform distribution was assumed to represent the p shift 22 , 23 , 30 . However, in reality, the p shift is not predictable and can follow any probability distribution.…”

Section: Comparative Studies and Sensitivity Analysesmentioning

confidence: 99%

“…The findings of the study provide a listing of feasible optimal results and graphical interpretations that proves the flexibility and adaptability of the proposed approach. Naderi et al 30 presented an economic-statistical design of chart under Weibull model using correlated samples under non-uniform and uniform sampling. The objective of the study was to optimize the average cost while considering different combination of Weibull distribution parameters estimates.…”

Section: Introductionmentioning

confidence: 99%

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Economic statistical model of the np chart for monitoring defectives

Haridy,

Alamassi,

Maged

et al. 2023

Sci Rep

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When monitoring manufacturing processes, managing an attribute quality characteristic is easier and faster than a variable quality characteristic. Yet, the economic-statistical design of attribute control charts has attracted much less attention than variable control charts in the literature. This study develops an algorithm for optimizing the economic-statistical performance of the np chart for monitoring defectives, based on Duncan’s economic model. This algorithm has the merit of the economic model to minimize expected total cost, and the benefit of the statistical design to enhance the effectiveness of detecting increasing shifts in defectives. The effectiveness of the developed np chart is investigated under different operational scenarios. The results affirm a considerable superiority of the proposed np chart over the traditional np chart. Real-life data are used to demonstrate the applicability of the proposed np scheme, in comparison to the traditional np chart.

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Section: Comparative Studies and Sensitivity Analysesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%