Six Sigma is an integrated, disciplined proven approach for improving business performance.This has been delivering significant business improvements in both manufacturing and service industries for the past decade. It has become the process improvement methodology of choice for organizations that are serious about achieving world class performance in quality and customer satisfaction.
This two day Six Sigma training course is the perfect start of your Six Sigma journey. Understanding how process improvement and inspection techniques work, and how data-based decisions are made, requires a sound knowledge of statistics. Participants will be provided with knowledge of the basics of the subject.The usefulness of statistics in industry and business has been greatly enhanced by the application of statistical computer software packages.
Delegates will be trained in the use of Minitab, a leading brand of statistical software, for the range of subjects covered on the course.
Upon completion of this Six Sigma course students will be able to:
Understand the fundamental concepts of Six Sigma
To understand the importance of the DMAIC methodology
Understand the key process steps of the Six Sigma Roadmap
To understand the deliverables required from each phase of a Six Sigma project
Understand basic statistical principles
Know how to use Minitab software for statistical analysis
Workshop topics to be covered:
Introduction to Six Sigma
Origins of Six Sigma
Key Concepts of Six Sigma
Key Six Sigma Roles and Responsibilities; Champion, Black Belt, Green Belt, Yellow Belt, etc.
Six Sigma Project Selection
The Voice of the Customer (VOC)
Project Scoping & Project Charters
Introduction to Minitab
Exercise of Minitab with practical data for Steam and leaf, box & whisker plots, scatter diagram, pareto diagram
Developing process map, work instruction flowchart etc
MSA data collection and analysis using Minitab
Process capability and performance
---DPMO, RTY, Cpk, Ppk, Cp, Pp
Failure mode and effect analysis
Hypothesis testing with Minitab
Cause & effect diagram
Design of Experiment
Waste elimination, Keizan, Cycle time reduction
Theory of constraints
Rational sub grouping
Chart selection: X ̅ - R,X ̅ - S, ImR, p, np, c, u, short-run SPC and moving average