Definition: The percentage of batches that fail to meet quality standards.
Calculation: (Number of Failed Batches / Total Number of Batches) x 100
Importance: Indicates the effectiveness of the manufacturing process and helps identify areas needing improvement.
Definition: The rate at which deviations from standard operating procedures (SOPs) occur.
Calculation: (Number of Deviations / Total Number of Procedures) x 100
Importance: Highlights the consistency and reliability of processes and SOP adherence.
Definition: The percentage of processes or products that meet quality standards on the first attempt.
Calculation: (Number of Correct Processes / Total Number of Processes) x 100
Importance: Reflects the efficiency and accuracy of production processes.
Definition: The percentage of tests or results that fall outside predefined specifications.
Calculation: (Number of OOS Results / Total Number of Tests) x 100
Importance: Identifies potential quality issues and the need for corrective actions.
Definition: The rate at which CAPA issues are resolved within a specified time frame.
Calculation: (Number of Closed CAPAs / Total Number of CAPAs) x 100
Importance: Measures the effectiveness and timeliness of addressing quality issues.
Definition: The number of customer complaints per unit of product sold.
Calculation: (Number of Complaints / Total Units Sold) x 100
Importance: Provides insights into product performance in the market and customer satisfaction.
Definition: The percentage of products recalled due to quality issues.
Calculation: (Number of Recalled Units / Total Units Produced) x 100
Importance: Indicates the severity of quality issues and their impact on public health.
Definition: The rate at which issues are identified during internal and external audits.
Calculation: (Number of Findings / Total Number of Audits) x 100
Importance: Measures compliance with regulatory standards and internal policies.
Definition: The rate at which employees successfully implement learned skills and knowledge.
Calculation: (Number of Successful Training Implementations / Total Number of Trainings) x 100
Importance: Ensures that staff are adequately trained and competent in their roles.
Definition: The time taken from the development stage to the product being available in the market.
Calculation: Number of Days from Development to Market Release
Importance: Reflects the efficiency of the development and approval processes, impacting competitiveness and profitability.
1. Data Collection: Ensure accurate and consistent data collection across all processes.
2. Regular Review: Conduct regular reviews and analyses of KPI data to identify trends and areas for improvement.
3. Benchmarking: Compare KPI results against industry standards and historical performance.
4. Continuous Improvement: Use KPI insights to drive continuous improvement initiatives in QA processes.
By diligently monitoring these KPIs, pharmaceutical companies can enhance their quality assurance processes, ensure compliance with regulatory requirements, and maintain high standards of product quality and safety.
More useful resources from our team to help you discover your own journey to the data-driven pharmaceuticals.