Dublin, Jan. 28, 2020 (GLOBE NEWSWIRE) -- The "Lean Six Sigma Yellow Belt Course" training has been added to ResearchAndMarkets.com's offering.

The objective of this course is to give participants an overview of the Six Sigma and Lean concepts and tools, including Six Sigma deployment practices, project development, and the DMAIC problem-solving approach. Once you've completed this program, you'll be ready to successfully participate in a Lean Six Sigma team.

Lean and Six Sigma are quality improvement methodologies structured to reduce waste and product or service failure rates to a negligible level. Six Sigma companies typically spend less than five percent of their revenues addressing and repairing quality problems.

The Six Sigma process encompasses all aspects of a business; including management, service delivery, and design, production and customer satisfaction. As a philosophy, Six Sigma drives business culture and requires a nearly flawless execution of key processes, making Six Sigma a high standard for companies and individuals to achieve.

By reducing process variation, Six Sigma frees an organization to focus on improving process capability. As sigma levels increase, the cost of poor quality decreases and profitability increases. This is why Six Sigma is highly associated with the delivery of consistent, world-class quality.

Small classroom based type workshops at a Central London training centre.

Awarded By

Certified Course by Continuous Professional Development Standards Office (CPDSO) with the process to gain certification:

• Complete the course
• Sit an exam at the end of the course - Theory
• Be involved in and complete the case study during the week - Practical

Alternative options available to sit an exam with International Association of Six Sigma Certification (IASSC)

Key Topics Covered

1. Introduction to Lean Six Sigma
2. Project Selection
3. Define
4. Introduction to Define
5. Project Planning
6. Process Management
7. The Voice of the Customer
8. Define Summary
9. Measure
10. Introduction to Measure
11. Data Collection
12. Graphical Statistics for Continuous Data
13. Graphical Statistics for Discrete Data
14. Variation Concepts
15. Process Capability
16. Measure Summary
17. Analyse
18. Introduction to Analyse
19. Process Analysis
20. Cause & Effect
21. Introduction to Minitab
22. Minitab Exercises
23. Analyse Summary

For more information about this training visit https://www.researchandmarkets.com/r/7mjheo

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