PENERAPAN IMPROVED GENERALIZED VARIANCE PADA PENGENDALIAN KUALITAS PAVING BLOCK SEGIENAM

Nathasa Erdya Kristy; Mustafid Mustafid; Sudarno Sudarno

doi:10.14710/j.gauss.9.1.87-97

DOI: https://doi.org/10.14710/j.gauss.9.1.87-97

PENERAPAN IMPROVED GENERALIZED VARIANCE PADA PENGENDALIAN KUALITAS PAVING BLOCK SEGIENAM

*Nathasa Erdya Kristy - Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia

Mustafid Mustafid - Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia

Sudarno Sudarno - Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia

BibTex Citation Data :

@article{J.Gauss27526,
    author = {Nathasa Kristy and Mustafid Mustafid and Sudarno Sudarno},
    title = {PENERAPAN IMPROVED GENERALIZED VARIANCE PADA PENGENDALIAN KUALITAS PAVING BLOCK SEGIENAM},
    journal = {Jurnal  Gaussian},
  volume = {9},
    number = {1},
    year = {2020},
    keywords = {Paving Block; Quality Control; Variability;Improved Generalized Variance;Process Capability Analysis},
    abstract = { In quality assurance of hexagonal paving block products, quality control is needed so the products that produced are in accordance with the specified standards. Quality control carried out involves two interconnected quality characteristics, that is thickness and weight of hexagonal paving blocks, so multivariate control chart is used. Improved Generalized Variance control chart is a tool used to control process variability in multivariate manner. Variability needs to be controlled because of in a production process, sometimes there are variabilities that caused by engine problems, operator errors, and deffect in raw materials that affect the process. The purpose of this study is to apply Improved Generalized Variance control chart in controlling the quality of hexagonal paving block products and calculating the capability of production process to meet the standards. Based on the assumption of multivariate normal distribution test, it can be seen that the data of quality characteristics of hexagonal paving blocks have multivariate distribution. While based on the correlation test between variables it can be concluded that the characteristics of the quality of thickness and weight correlate with each other. The result of the control using these control chart shows that the process is statistically in control. The results of process capability analysis show that the production process has been running according to the standard because the process capability index value is generated using a weighting of 0.5 for each quality characteristic that is 1.01517.      Keywords:  Paving Block ,  Quality Control, Variability, Improved Generalized Variance ,  Process Capability Analysis },
   issn = {2339-2541},   pages = {87--97}  doi = {10.14710/j.gauss.9.1.87-97},
    url = {https://ejournal3.undip.ac.id/index.php/gaussian/article/view/27526}
}

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Abstract

In quality assurance of hexagonal paving block products, quality control is needed so the products that produced are in accordance with the specified standards. Quality control carried out involves two interconnected quality characteristics, that is thickness and weight of hexagonal paving blocks, so multivariate control chart is used. Improved Generalized Variance control chart is a tool used to control process variability in multivariate manner. Variability needs to be controlled because of in a production process, sometimes there are variabilities that caused by engine problems, operator errors, and deffect in raw materials that affect the process. The purpose of this study is to apply Improved Generalized Variance control chart in controlling the quality of hexagonal paving block products and calculating the capability of production process to meet the standards. Based on the assumption of multivariate normal distribution test, it can be seen that the data of quality characteristics of hexagonal paving blocks have multivariate distribution. While based on the correlation test between variables it can be concluded that the characteristics of the quality of thickness and weight correlate with each other. The result of the control using these control chart shows that the process is statistically in control. The results of process capability analysis show that the production process has been running according to the standard because the process capability index value is generated using a weighting of 0.5 for each quality characteristic that is 1.01517.

Keywords: Paving Block, Quality Control, Variability, Improved Generalized Variance, Process Capability Analysis

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Keywords: Paving Block; Quality Control; Variability;Improved Generalized Variance;Process Capability Analysis

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In Vol 9, No 1 (2020): Jurnal Gaussian

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