Pure Mathematics for Theoretical Computer Science

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https://doi.org/10.54216/PMTCS

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Volume 3 , Issue 2 , PP: 08-24, 2024 | Cite this article as | XML | Html | PDF | Full Length Article

Using Nonparametric Methods to Estimate Monitoring Maps Six Sigma of Vegetable Oil Production

Sanaa Mohammed Naeem 1 *

  • 1 Southern technical university, college of health& medical Techniques in Basrah, Basrah, Iraq. - (Sunamohammed70@gmail.com)
  • Doi: https://doi.org/10.54216/PMTCS.030201

    Received: June 21, 2023 Revised: September 05, 2023 Accepted: December 07, 2023
    Abstract

    Statistics are considered the backbone of the strategies of the quality control system, because of their important role in the use of tools, theories and analysis in these strategies. in the six sigma strategies (DMAIC) and (DMADV), each step is not without statistical methods. The study relied on the application of the statistical nonparametric methods and quantitative tools used in the Six Sigma strategy to apply the quality control performance of the research sample to improve the required quality by knowing the production derivatives and the reasons for the slowdown in the production process (Al-Moatasem Factory for Vegetable Oils), the fat line with its three sections.

    Keywords :

    Quality control , Control chart , six sigma strategies (DMAIC) and (DMADV).

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    Cite This Article As :
    Mohammed, Sanaa. Using Nonparametric Methods to Estimate Monitoring Maps Six Sigma of Vegetable Oil Production. Pure Mathematics for Theoretical Computer Science, vol. , no. , 2024, pp. 08-24. DOI: https://doi.org/10.54216/PMTCS.030201
    Mohammed, S. (2024). Using Nonparametric Methods to Estimate Monitoring Maps Six Sigma of Vegetable Oil Production. Pure Mathematics for Theoretical Computer Science, (), 08-24. DOI: https://doi.org/10.54216/PMTCS.030201
    Mohammed, Sanaa. Using Nonparametric Methods to Estimate Monitoring Maps Six Sigma of Vegetable Oil Production. Pure Mathematics for Theoretical Computer Science , no. (2024): 08-24. DOI: https://doi.org/10.54216/PMTCS.030201
    Mohammed, S. (2024) . Using Nonparametric Methods to Estimate Monitoring Maps Six Sigma of Vegetable Oil Production. Pure Mathematics for Theoretical Computer Science , () , 08-24 . DOI: https://doi.org/10.54216/PMTCS.030201
    Mohammed S. [2024]. Using Nonparametric Methods to Estimate Monitoring Maps Six Sigma of Vegetable Oil Production. Pure Mathematics for Theoretical Computer Science. (): 08-24. DOI: https://doi.org/10.54216/PMTCS.030201
    Mohammed, S. "Using Nonparametric Methods to Estimate Monitoring Maps Six Sigma of Vegetable Oil Production," Pure Mathematics for Theoretical Computer Science, vol. , no. , pp. 08-24, 2024. DOI: https://doi.org/10.54216/PMTCS.030201