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5 Ways to Master Manufacturing Challenges in Regulated Industries

From Meticulous Planning to Continuous Testing and AI Integration

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Efficiency is the lifeblood of manufacturing, especially in regulated industries like pharmaceuticals, medical technology, and aerospace 🛫. In these sectors, ensuring compliance with stringent regulatory standards is crucial. Products must meet high-quality benchmarks and undergo rigorous testing to guarantee safety and efficacy.

Real-life challenges often arise, such as the need for precise test points or revalidation due to product or component changes. These issues can disrupt production and lead to significant delays if not addressed proactively. The integrity and reliability of products are paramount, requiring continuous monitoring and adjustment to maintain compliance. Last but not least, the goal is to ensure that every product not only meets regulatory requirements but also performs reliably in real-world conditions. This is the recipe for long-term operational success.

Meticulous Planning

Automated testing requires detailed planning and coordination with the quality department to ensure that all validation processes are in place. This includes careful engineering of hardware and software, and targeted documentation for regulatory tests.

Verification and validation process in medical industryVerification and Validation (V&V), based on a thorough risk assessment, should be an ongoing process initiated at the earliest stages of a project. There must be constant reference to the risk assessment carried out at the start of the project. This helps anticipate issues like hard-to-reach test points or revalidation due to component changes. This way, you are prepared when you have to submit a report to regulatory bodies. Taking the time to plan ahead can save a lot of time and effort.

To ensure compliance and accuracy in test scenarios, test engineers should focus on developing five key areas:

  1. Identify Required Equipment: Determine the required test equipment, such as oscilloscopes, meters, and pressure sensors. Ensure that all equipment meets the relevant accuracy standards and is regularly calibrated.
  2. Setup and Configuration: Prepare the Device Under Test (DUT) by connecting it to the required devices or test fixtures. Ensure that all preconditioning steps, such as temperature stabilization, are clearly defined.
  3. Develop Test Procedures: Create detailed, step-by-step test procedures that describe the actions to be taken, the expected outcomes, and pass/fail criteria. This ensures consistency and reliability in testing.
  4. Record Keeping: Maintain thorough documentation of test results, either on paper or electronically. This is essential for traceability and regulatory compliance.
  5. Precise Delineation and Separation of Test Limits: Keeping these limits in a separate file eliminates the need for extensive revalidation when modifications are made, saving considerable time and effort.

Benefits of Mobile Test Equipment

One effective strategy is the utilization of mobile test equipment. This allows V&V testing to be conducted away from the production area, minimizing downtime and freeing up valuable manufacturing space. It also permits easy replacement of equipment without disrupting the entire production line.

Continuous Testing

Testing does not stop once your system is up and running in the plant. In fact, it is only just beginning. Your system could be processing hundreds or even thousands of units daily, and it is vital to ensure it can manage this volume without glitches. This demands careful planning, evaluating a representative sample of units, and monitoring and adjusting, as necessary.

The Role of Artificial Intelligence (AI)

Artificial Intelligence (AI) is a transformative force in the manufacturing industry that has the potential to radically change production lines. However, in regulated industries, the implementation of AI carries specific risks and challenges.

Key Risks

  1. Opacity: The inner workings of AI models can be difficult to interpret, posing challenges for regulatory compliance.
  2. Insufficient Data: AI models require substantial amounts of data to function effectively, which can be a hurdle in regulated environments.
  3. Misconceptions of Infallibility: There is a common misconception that AI is infallible, which can lead to over-reliance on these systems.

Managing Training Data

In regulated industries, managing training data is crucial. Ensuring you have enough high-quality data for your algorithm is key. Sometimes, employing a pre-trained model can reduce the data requirements, but this approach comes with potential legal complications. It is essential to verify that the training data used is free of copyright claims and to understand the licensing terms of the pre-trained model.

Seamless Change Control

Change is inevitable in innovative manufacturing, and test equipment, including AI models, will need updates and retraining over time. Implementing a robust change control process is crucial, especially in regulated industries. This ensures compliance with stringent regulatory requirements through meticulous planning and documentation. A well-defined change control process maintains the integrity and reliability of products and test equipment, ensuring all modifications are thoroughly validated and documented to meet standards. The following steps are a must:

  • Defining a Validation Data Set: Establish a reliable validation data set to benchmark performance.
  • Setting Performance Limits: Define acceptable performance limits for the validation data set.
  • Retraining and Evaluation: Retrain the AI model as needed, run the validation data set, and evaluate the results to ensure compliance with performance limits.

Moving Forward with Manufacturing in Regulated Industries

In the ever-evolving landscape of regulated manufacturing, a proactive and well-documented approach to verification and validation (V&V) is essential. By embracing meticulous planning, leveraging mobile testing solutions, and integrating AI thoughtfully, manufacturers can not only meet stringent regulatory standards but also enhance operational efficiency. Continuous monitoring, robust change control processes, and strategic risk management ensure that products remain reliable and compliant. These efforts drive innovation, reduce downtime, and contribute to long-term success in a highly competitive industry.

To speak with one of our test experts about your manufacturing challenges in a regulated environment, please contact Averna.

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