Nasergy

Charging Pepole with Energy
Certificates
10.00

1. Name

Six Sigma Green Belt (SSGB) Certification Online (Course and Exam)

2. What You Will Learn

  • Six Sigma tools and techniques for production process improvement.

  • The DMAIC (Define, Measure, Analyze, Improve, and Control) methodology.

  • Project selection, evaluation criteria, and risk management.

  • Statistical distributions, data collection, and measurement systems (Gauge R & R).

  • Root cause analysis using Ishikawa diagrams and FMEA.

3. Audience Profile

  • Professionals: Quality Assurance Engineers, Project Managers, Software Professionals, Team Leaders, and Senior Management.

  • Students: Management and Engineering students seeking employability.

  • PMP Credential Holders: Those looking to earn PMI PDUs.

  • Researchers/Consultants: Individuals focused on process improvement and innovation.

4. Prerequisites

The provided text does not explicitly list academic or professional prerequisites, though it implies a background or interest in process improvement, quality assurance, or management.

5. Exam Format

  • Delivery: Online

  • Duration: Part of a 3-month total engagement. (Specific question count or passing score is not detailed in the source provided).

6. Course Outcomes

  • Familiarity with the advantages and challenges of Six Sigma methodology.

  • Ability to lead production issue resolution and process improvement.

  • Capacity to calculate DPMO, Sigma levels, and Cost of Poor Quality (COPQ).

  • Development of superior problem-solving skills applicable to real-world projects.

7. Course Methodology

  • Format: Online delivery.

  • Focus: Practical implementation of tools and techniques within an organization.

  • Duration: 3 Months.

8. Course Outline

  • Introduction: History of Quality, Evolution of Six Sigma, and DMAIC overview.

  • Stakeholders & Setup: Project selection, planning, and team dynamics.

  • Define Phase: Process maps, Pareto charts, and Project Charters.

  • Measure Phase: Data collection, Gauge R & R, and process capability baselining.

  • Analyze Phase: Hypothesis testing, Ishikawa diagrams, and identifying causes of variation.

9. About Institution

The provided text focuses on course delivery and objectives but does not include specific branding or history for the institution (e.g., name of the training provider or accrediting body)