For non-normal processes, Clements' method modifies the traditional PCIs by assessing percentiles and median of the process distribution to define percentile ...
For non-normal processes, Clements' method modifies the traditional PCIs by assessing percentiles and median of the process distribution to define percentile ...
MVLSC Home • Issue Contents. Fuzzy Process Capability Indices Using Clements' Method for Non-Normal Processes Ozlem Senvar and Cengiz Kahraman.
Principally, traditional process capability indices (PCIs) based on normality are not convenient for non-normal industrial processes to reflect their ...
We developed type-2 fuzzy percentile-based standard PCIs for non-normal data via Clements' method. For modeling uncertainty and imprecision of data, interval ...
Type-1 and Type-2 fuzzy Pearson-based standard PCIs for non-normal processes using Clements' method are developed,respectively and then applied, analyzed, and ...
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We developed type-2 fuzzy percentile-based standard PCIs for non-normal data via Clements' method. For modeling uncertainty and imprecision of data, interval ...
Process capability indices are numerical tools that quantify how well a process can meet customer requirements, specifications or engineering tolerances.
The proposed methodology uses the Clements's method assuming a Burr type XII distribution, whose parameters are estimated through metaheuristic techniques, and ...
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