How to Manage Process Robustness for Multiple Strengths


Published on 03/06/2026

Managing Process Robustness: A Comprehensive Case Study on Multiple Strengths

In today’s rapidly advancing pharmaceutical landscape, achieving process robustness at scale is a critical objective for manufacturers. This case study presents a realistic scenario where a pharmaceutical company faced challenges in maintaining process robustness across multiple strengths of a solid dosage form. Readers will gain insights into detection, containment, investigation, and lessons learned to enhance their own operational practices.

By the end of this article, pharma professionals will have a clear roadmap for addressing process robustness issues through a structured approach that encompasses immediate actions, root cause analysis, CAPA strategies, and ongoing monitoring. This framework will enable teams to maintain compliance and uphold quality standards in their manufacturing processes.

Symptoms/Signals on the Floor or in the Lab

In early August, Quality Control (QC) flagged several batches of a tablet product exhibiting unexpected instability in Dissolution Profile testing across different strengths, including 5 mg, 10 mg, and 20 mg variants. Analysts reported that while the

5 mg strength showed acceptable dissolution rates, the higher strengths exhibited a shift in profile, indicating potential risks for patient safety and product efficacy.

Alongside dissolution variances, operators noted increased variability in tablet weights during routine checks, leading to a potential out-of-specification (OOS) scenario. Complaints from production about unexpected hardness levels were also recorded, with significant deviations from the established ranges. These signals indicated a loss of process robustness for different material attributes and physical parameters.

Likely Causes (by category: Materials, Method, Machine, Man, Measurement, Environment)

Understanding the likely causes behind the symptoms observed is essential for addressing the issue effectively. The following categories and corresponding identified likely causes were established during the initial assessment:

Category Likely Causes
Materials Variability in raw material quality (API and excipients); supplier change
Method Changes in manufacturing process parameters; unvalidated methods
Machine Equipment calibration issues; wear-and-tear affecting tablet compression
Man Operator training disparities; lack of adherence to SOPs
Measurement Poor accuracy in measurement systems for weigh and hardness testing
Environment Room temperature fluctuations impacting stability and performance
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Immediate Containment Actions (first 60 minutes)

Upon identifying the dissolution anomalies and weight variabilities, rapid containment actions were enacted within the first hour. These actions included:

  • Halting production for high-strength tablets to prevent further non-compliance issues.
  • Isolating the affected batches in the warehouse and initiating a hold on their release.
  • Conducting immediate in-line checks to verify machine settings for compression forces and tablet weights.
  • Re-inspecting incoming materials against specification limits to exclude any affected batches in raw materials.

These initial containment steps are crucial in limiting the extent of the impact and preventing potential patient risk or quality assurance discrepancies.

Investigation Workflow (data to collect + how to interpret)

The investigative workflow took a multi-faceted approach involving gathering both quantitative and qualitative data. Key steps included:

  1. Data Collection:
    • Review of batch records, manufacturing logs, and laboratory test results for all affected products.
    • Sampling of raw material supplies and begun analysis for consistency using established methods.
    • Inventory of any recent changes in operators assigned to the manufacturing line.
    • Environmental monitoring data collection regarding temperature and humidity in the manufacturing area.
  2. Data Interpretation:
    • Utilizing statistical process control (SPC) charts to identify trends and deviations across batch data.
    • Engaging a cross-functional team—including manufacturing, quality, and engineering— to review the findings collectively.
    • Assessing whether the OOS results correlated with specific raw material batches or changes in processes.

Root Cause Tools (5-Why, Fishbone, Fault Tree) and when to use which

To uncover the root cause of the issues, three popular analytical tools were employed, demonstrating their unique usefulness in different contexts:

  • 5-Why Analysis: Used initially to drill down into surface-level issues such as “Why was tablet weight variability noted?” This tool encouraged teams to maintain focus until the root cause was uncovered, revealing underlying issues with operator training.
  • Fishbone Diagram (Ishikawa): This method illuminated broader categories influencing the problem. By getting input from various stakeholders, the team identified materials, methods, environments, and machines as contributing factors, allowing prioritized actions.
  • Fault Tree Analysis: This tool was reserved for assessing highly complex interrelations of various failures, particularly evaluating how simultaneous malfunctions could have exacerbated the dissolution issue.
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Teams must use these tools judiciously, selecting them to match the complexity and depth of the investigation.

CAPA Strategy (correction, corrective action, preventive action)

A thorough CAPA strategy was crafted to address all identified issues:

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  1. Correction: All impacted products were quarantined and retested for compliance. Re-qualifying processes on minor adjustments led to a temporary halt to prevent the release of batches at-risk.
  2. Corrective Action: Comprehensive retraining programs were instituted for all operators, focusing on adherence to SOPs and precision in measurements. Adjustments to the compression settings were validated, and new equipment calibration protocols were instituted.
  3. Preventive Action: An ongoing monitoring plan was developed that included increased sampling frequency during start-up runs, alongside real-time CAPA updates to mitigate future risks. This also involved instituting regular audits of raw material suppliers to ensure consistency.

Control Strategy & Monitoring (SPC/trending, sampling, alarms, verification)

The newly implemented control strategy relied heavily on enhanced monitoring techniques to assure product integrity in real-time:

  • **SPC Charts:** Regular usage of charts allowed for immediate visualization of process performance and detection of any rising trends.
  • **Increased Sampling:** Sampling plans were tightened, mandating checks on every tenth tablet to ensure compliance with weight and dissolution parameters.
  • **Real-time Alarms:** Integration of alarms into the manufacturing environment for critical controls and deviations reduced the lag in response times significantly.
  • **Verification:** Regular review meetings on metrics and product quality were instituted, enabling teams to remain vigilant concerning new process changes or material incoming variability.

Validation / Re-qualification / Change Control impact (when needed)

Following identified changes to processes, a robust validation plan was adopted. Each revised method underwent re-qualification, ensuring consistency across all product strengths. In addition, processes were documented for change controls, which facilitated:

  • Comprehensive change assessment before authorizations.
  • Documentation of modifications of parameters and materials in systems governing quality and production.
  • Periodic review timelines to assess the continued suitability of changes, considered scalability, and impact on robustness.
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Inspection Readiness: what evidence to show (records, logs, batch docs, deviations)

In preparation for upcoming evaluations by regulatory bodies, the inspection readiness plan included showing various documents:

  • Comprehensive batch records and production logs demonstrating traceability of actions taken during the investigation and containment phases.
  • Deviations and OOS documentation clearly outlining corrective actions taken and verification of outcomes.
  • Evidence of continuous monitoring via SPC charts indicating process stability.
  • Training logs and records of actions resulting from CAPA initiatives and how these improved compliance measures.

FAQs

What is process robustness?

Process robustness refers to the ability of a manufacturing process to remain stable and produce quality product consistently, regardless of variability in raw materials or operating conditions.

Why is it important to manage multiple strengths?

Managing multiple product strengths is crucial to ensure that all variations meet regulatory expectations for quality, safety, and efficacy while minimizing manufacturing complexities and potential failures.

How do I determine when to implement a CAPA?

A CAPA should be initiated upon identifying any significant deviations or failures in the manufacturing process that could affect product quality or compliance.

What role do training programs play in process robustness?

Training programs ensure that operators understand the processes, standards, and SOPs required for maintaining product integrity and compliance.

How often should we monitor our process?

Regular monitoring is essential; however, the frequency should be based on process capability, FDA compliance input, capacity, and critical process junctures, typically daily or per batch.

What statistical tools are recommended for process control?

Commonly recommended tools include Statistical Process Control (SPC), Capability Indices (Cp, Cpk), and control charts to evaluate process stability.

What is continued process verification?

Continued process verification involves monitoring and evaluating the manufacturing process at defined intervals to assure consistent compliance post-validation.

How can I improve my control strategy?

Improvements can come from regular reviews of key performance indicators (KPIs), integrating real-time data analytics, and ensuring flexible responses to any identified risks.

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