Introduction:

Quality management and Six Sigma refer to the structured frameworks used to ensure consistency, eliminate defects, and support institutional performance through defined standards and measurement systems. Quality management governs processes to maintain compliance and improve output, while Six Sigma applies statistical models to identify variations and reduce errors. This training program introduces organizational models, quality structures, and process control frameworks that position quality and Six Sigma as core management functions.

Program Objectives:

By the end of this program, participants will be able to:

• Identify the core functions of quality management systems in institutional operations.

• Outline the elements and methodology of Six Sigma in structured environments.

• Classify tools used for analyzing variation and controlling quality standards.

• Explore quality planning and performance review structures.

• Evaluate institutional frameworks for sustaining quality and minimizing defects.

Targeted Audience:

• Quality Assurance Managers.

• Operational Excellence Coordinators.

• Compliance Officers.

• Process Analysts.

• Department Heads responsible for quality oversight.

Program Outline:

Unit 1:

Principles of Quality Management Systems:

• Institutional role of quality planning and control.

• Key elements of a quality management system (QMS).

• Governance requirements under ISO 9001 and related standards.

• Classification principles of quality objectives and documentation models.

• Relationship between quality metrics and operational outcomes.

Unit 2:

Introduction to Six Sigma Structure:

• Purpose of Six Sigma in process performance improvement.

• Overview of DMAIC and DMADV frameworks.

• Role definitions, including Green Belt, Black Belt, and Master Black Belt.

• Importance of using sigma levels to quantify process variation.

• Oversight on the integration process of Six Sigma within institutional policy frameworks.

Unit 3:

Tools and Techniques for Quality Analysis:

• Overview of control charts, cause effect diagrams, and Pareto analysis.

• Logic of process mapping and workflow modeling.

• Classification principles of statistical methods used in Six Sigma.

• Importance of using capability indices (Cp, Cpk) in performance review.

• Models for identifying and isolating process inefficiencies.

Unit 4:

Quality Planning and Measurement Structures:

• Frameworks for developing quality plans aligned with operational objectives.

• Systems for collecting and reviewing performance indicators.

• Evaluation criteria of audit outcomes and compliance tracking.

• Oversight on documentation and control procedures.

• Metrics used in monitoring product or service consistency.

Unit 5:

Institutional Alignment and Continuous Quality Systems:

• Governance models for long term quality control.

• Strategies for aligning quality systems with institutional goals.

• Monitoring frameworks for maintaining quality certification.

• Role of internal review cycles in sustaining improvement.

• Indicators for evaluating organizational quality maturity.