Quality assurance focuses on final inspection, while quality control emphasizes process improvement.

Quality assurance applies only to manufacturing, while quality control is used in all industries.

Quality assurance is about meeting customer expectations, while quality control is about compliance with regulations.

Quality assurance is process-oriented, while quality control is product-oriented.

Scope, Design, Execute, Monitor, Close

Plan, Do, Check, Act, Review

Identify, Develop, Implement, Evaluate, Maintain

Define, Measure, Analyze, Improve, Control

A one-time effort to improve quality standards.

Continuous improvement is an ongoing effort to enhance products, services, or processes through incremental improvements.

A strategy that focuses solely on reducing costs without improving quality.

A method to eliminate all processes in quality management.

To predict future process outcomes.

To monitor the stability and control of the process over time.

To establish final product specifications.

To eliminate all variations in the process.

In lean principles, waste is any activity that does not add value to the product or service.

Waste is any process that is completed without supervision.

Waste refers to the time spent on planning and strategizing.

Waste refers to the physical disposal of materials.

Data analysis focuses on employee performance evaluation.

Data analysis is only relevant for marketing strategies.

Data analysis helps identify defects and variations, enabling data-driven decision-making for process and quality improvement.

Data analysis is primarily used for financial forecasting.

Decrease in employee morale.

Decrease in customer satisfaction.

Increase in efficiency and productivity.

High operational costs.

To assess the capability of a process to produce outputs that meet specifications.

To evaluate the financial performance of a process.

To determine the number of employees in a process.

To analyze the marketing strategies of a process.

It focuses only on employee performance and not on product quality.

It helps increase production speed without quality checks.

Root cause analysis is only useful for financial audits.

Root cause analysis contributes to quality control by identifying and addressing the underlying causes of defects, leading to improved product quality and prevention of future issues.

The DMAIC framework focuses solely on employee training.

The significance of the DMAIC framework in Lean Six Sigma lies in its systematic approach to process improvement and quality management.

DMAIC is a tool for product marketing strategies.

DMAIC is primarily used for financial forecasting.

Resistance to change

Strong leadership support

Clear communication channels

Lack of resources

To ensure compliance with financial regulations.

To provide a structured framework for managing quality processes and improving overall performance.

To focus solely on employee training and development.

To eliminate the need for customer feedback.

Employee participation has no significant impact on continuous improvement.

Increased employee participation can lead to more innovative ideas and greater commitment to quality improvement.

Employee participation is only necessary during the implementation phase.

Employee participation primarily affects financial outcomes.

To visually present the financial performance of a project.

To identify potential causes of a problem and facilitate root cause analysis.

To track employee attendance and performance.

To outline marketing strategies for a product.

It provides a way to compare performance against industry standards and best practices.

It focuses only on internal processes without external comparisons.

It is primarily used for financial assessments.

It eliminates the need for customer feedback.

To identify the symptoms of problems without addressing the underlying issues.

To determine the financial impact of quality issues.

To systematically identify the root causes of defects and implement corrective actions.

To evaluate employee performance in relation to quality standards.

By providing a visual representation of processes, it helps identify inconsistencies and areas for improvement.

By focusing only on financial metrics.

By eliminating the need for employee training.

By standardizing all processes without considering variations.

To evaluate the financial performance of the company.

To assess compliance with quality standards and identify areas for improvement.

To increase production speed without quality checks.

To eliminate the need for employee training.

It has no impact on quality management.

Effective training can enhance skills and knowledge, leading to improved quality outcomes.

Training is only necessary for new employees.

Training primarily focuses on financial aspects.