Robust yield test for a normal production process

Iranmanesh, Hamideh; Nooghabi, Mehdi Jabbari; Parchami, Abbas

doi:10.1080/08982112.2023.2202727

Quality Engineering

2023

DOI: 10.1080/08982112.2023.2202727

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Robust yield test for a normal production process

Hamideh Iranmanesh

Mehdi Jabbari Nooghabi

Abbas Parchami

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2024

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Cited by 1 publication

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Estimating the Generalizations of Process Capability Index Cpmk$C_{pmk}$ in the Presence of Outliers

Iranmanesh,

Jabbari Nooghabi,

Parchami

2024

Quality & Reliability Eng

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Process capability indices (PCIs) play a fundamental role in assessing and quantifying the capability of manufacturing processes to meet customer specifications. To date, the majority of PCIs that are now in use have been examined through the use of novel generalizations of PCIs with symmetric tolerances to check the performance of an industrial manufacturing process. In this paper, we proposed new estimations of some indices with asymmetric tolerances in the presence of outliers. New robust and parametric estimators of some PCIs are introduced to estimate and compare these indices for each normal distribution with the presence of different outliers. Meanwhile, this paper discusses how well the proposed method can be used for non‐normal data. For illustration purpose, the application example is presented.

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Estimating the Generalizations of Process Capability Index Cpmk$C_{pmk}$ in the Presence of Outliers

Iranmanesh,

Jabbari Nooghabi,

Parchami

2024

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

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Robust yield test for a normal production process

Cited by 1 publication

References 22 publications

Estimating the Generalizations of Process Capability Index Cpmk$C_{pmk}$ in the Presence of Outliers

Estimating the Generalizations of Process Capability Index Cpmk$C_{pmk}$ in the Presence of Outliers

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