This article will explore how mass finishing technologies, shot blasting, and bespoke solutions for additive manufacturing (AM) parts play a pivotal role in the final stages of medical device production.
By establishing precise parameters for success from the outset and implementing proven strategies, manufacturers can proactively mitigate risks, streamline operations, and foster a culture of excellence.
Ensuring high quality in medical device manufacturing requires operational excellence, which optimizes efficiency and enhances product quality and compliance. Let’s explore some of the key elements and best practices.
Here are a handful of example quality control processes that focus on the measurement of torque, with emphasis on sectors where testing is highly regulated, FDA 21CFR Part 11 being a prime consideration.
Enable a manufacturing quality-driven collaboration between suppliers and buyers to eliminate interpretation, reduce costs, risks, and expedited delivery time.
A leading aircraft manufacturer faces $27B in losses due to slow supply chain fixes, aggravated by escalating quality standards like AS9102 Rev C. The solution lies in seamless communication of requirements from buyers to suppliers, streamlining operations for all parties involved.
As the industry continues to trend toward a more patient-centric approach, we see an increasing buzz around the development and utilization of wearable injectors, also known as on-body delivery systems (OBDS)—the next evolution in needle-based drug delivery products.
Additive manufacturing (AM) technologies present an array of benefits including lightweight structures (lattices, triply periodic minimal surfaces, and other organic shapes), consolidation of parts, limiting necessity for tooling, and lead time reduction.
We review essential software specifications and cover how those attributes can be leveraged when considering computer-controlled physical product testing equipment in the lab or on the shop floor.
Monte Carlo simulations specialize in computing reliable probabilities from simulated data.
February 14, 2022
In situations where resources are limited to gathering real data would be too expensive or impractical, Monte Carlo simulations can help forecast results and probabilities.