Analysis and control of the paper moisture content variability by using fuzzy and traditional individual control charts
| Autor: | Rogelio Lopez-Herrera, Jose L. Rodriguez-Alvarez, Óscar D. Hernández-Olvera, Ivan E. Villalon-Turrubiates, Rey David Molina-Arredondo, Jorge Luis García Alcaraz |
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| Rok vydání: | 2021 |
| Předmět: |
0303 health sciences
Computer science Process Chemistry and Technology 010401 analytical chemistry Stability (learning theory) Process (computing) Fuzzy control system computer.software_genre 01 natural sciences Fuzzy logic 0104 chemical sciences Computer Science Applications Analytical Chemistry 03 medical and health sciences Control limits Range (statistics) Fuzzy number Control chart Data mining computer Spectroscopy Software 030304 developmental biology |
| Zdroj: | Chemometrics and Intelligent Laboratory Systems. 208:104211 |
| ISSN: | 0169-7439 |
| DOI: | 10.1016/j.chemolab.2020.104211 |
| Popis: | For several decades, the fuzzy theory has been used to develop the so-called fuzzy control charts to analyze process data in a more reliable and flexible way than traditional control charts. Control charts are more commonly used in the papermaking processes to check the stability of the data source. These charts are conceived as devices that enhance routine time-by-time adjustments during the production process, so their value is incomparable. A critical variable that must be controlled during the papermaking process is the moisture content of the paper. However, due to the paper’s hygroscopic characteristics, its moisture content values may carry some uncertainty derived from measurement systems and the nature of the papermaking process. Therefore, an alternative approach that includes fuzz control charts to handle these uncertainties is proposed in this paper. The method to convert individual data to fuzzy numbers is based on the sigma level process as a first stage, and then, the fuzzy individual and moving range control charts are introduced using the α − cut fuzzy midrange approach. Data from the moisture content of a 240 g coated paper sample is used to prove the performance of the fuzzy individual control charts. According to the proposed methodology, findings show that fuzzy individual and moving range control charts have greater flexibility than traditional individual control charts by reflecting a larger amplitude of their control limits, in addition to a lower number of “out of control” values. |
| Databáze: | OpenAIRE |
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