Improvement of Shewhart Control Chart for Autocorrelated Data in Continuous Production Process

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Shewhart Control Chart is widely used to monitor, control and improve quality in many industrial processes. Control chart is based on the assumption that the resulting data is distributed independently. But in the process of continuous production most data are autocorrelated. Autocorrelation is a state in which between sequential observations have a relationship. In order to use the control chart effectively, the autocorrelation in the data must be eliminated. Autocorrelation can be eliminated by mapping residual modeling results using the time series method because of the residuals of the modeling following a normal and independent distribution. In this study Genetic Algorithm is integrated with support vector regression for optimization of support vector regression model parameters for more accurate prediction result. The more accurate the model used, the predicted results will be close to the actual value so that the residual value obtained will be closer to zero. The more residual values close to zero, the average will be zero and the data will spread around the average value. After the calculation it was found that the proposed modeling resulted in a RMSE of 46 % smaller than other modeling and the residual control chart generated from the modeling of Genetic algorithm support vector regression of all data within the control limits.

Original languageEnglish
Title of host publicationProceedings - 2018 4th International Conference on Science and Technology, ICST 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538658130
DOIs
Publication statusPublished - 8 Nov 2018
Event4th International Conference on Science and Technology, ICST 2018 - Yogyakarta, Indonesia
Duration: 7 Aug 20188 Aug 2018

Publication series

NameProceedings - 2018 4th International Conference on Science and Technology, ICST 2018

Conference

Conference4th International Conference on Science and Technology, ICST 2018
Country/TerritoryIndonesia
CityYogyakarta
Period7/08/188/08/18

Keywords

  • Autocorrelation
  • Genetic Algorithm
  • Residual Control Chart
  • Shewhart Control Chart
  • Support Vector Regression

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