Six-sigma for monitoring & improving the production quality – ISO 13053

Objective:

By the end of the training course, trainees will be able to:

  • Learn the fundamental of Six – Sigma project.
  • The personnel requirements in Six – Sigma project team.
  • Use DMAIC Six – Sigma methodology to Define, Measure, Analyze, Improve and Control the production processes.
  • The Statistics Tools in Six – Sigma.

People concerne:

Technical and quality staff in factories

Prerequisites:

Statistical background.

Content:

       A.            General

–          Fundamental of Six – Sigma projects within organization

–          Relationship with quality management standard ISO 9001.

–          Maturity of process of an organization.

–          Voice of customer & accountability.

       B.            Six Sigma infrastructure within an organization

–          Larger – over 1000 employee at a site

–          Medium – 250 to 1000 employees at a site.

–          Small – Less than 250 employees at a site.

       C.            Six – Sigma Personnel and their roles

–          Minimum competence required

–          Champion

–          Deployment manager

–          Project sponsor

–          Master black belt

–          Black belt

–          Green belt

–          Yellow belt

       D.            Six – Sigma Project prioritization and Selection

–          General considerations

–          Project prioritization

–          Project selections

        E.            Six – Sigma DMAIC methodology

–          Define, Measure, Analyze, Improve & Control phases.

        F.            Statistics tools in Six – Sigma project (DMAIC – Algorithms)

I.                     Assessment of the product quality (target of Six – Sigma Project)

–          Defect per million opportunities

–          Rolled throughput yield .

–          Return rate .

–          On-time delivery

–        Cost of poor quality .

II.                   Assessment of the precision of the production process [ISO 5725 based]

–          Determination of sample size.

–          Graphical representation of data: Box-plot, Multiple comparison of means for data representation.

–          Probability-plot, kernel function representation, and normality test.

–          Evaluation of repeatability and reproducibility in the production process.

–          Gauge R&R analysis

III.                  Controlling and minimizing the out-of-quality product [ISO 7870 based]

–          Process adjustment control chart,

–          Trend control chart

–          Control chart for coefficient variation

–          Attributed – np, p, c, u control charts.

Course date : 19/12/2021
Course price : 1500 SAR
Course duration : 8 Days - 32 Hours
Where to attend : Riyadh
Certificate : Attendance
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