InfinityQS shares five tips on how the pharmaceutical and medical device
industry can use enterprise quality systems, Manufacturing Intelligence
platforms and automated device integration technologies to streamline
compliance procedures, reduce recalls, speed time-to-market and increase
profitability.
Because life
sciences products are often ingested or implanted in the body, it is critical
for pharmaceutical and medical device companies to adhere to stringent safety
and regulatory compliance standards. Using advanced technologies, manufacturers
can employ a holistic approach to quality and ensure product safety. Below are five
ways pharmaceutical and medical device manufacturers can use enterprise quality
systems, Manufacturing Intelligence platforms and automated device integration together
to decrease recalls, speed time-to-market, reduce waste and increase
profitability.
1. Be Proactive, Not
Reactive: Life
sciences manufacturers
traditionally focus their efforts on developing response plans in the event of a recall, rather than
executing preventative measures. With a quality culture and a Manufacturing
Intelligence platform, manufacturers can collect and analyze disparate data from
across the supply chain and gain greater insight into manufacturing processes.
Operators can then make adjustments based on this insight to improve product
quality, helping to prevent recalls and plan for risk mitigation.
2. Use Acceptance
Sampling: Inspection
is an important step to evaluate the quality and safety of life sciences
products. However, 100-percent inspection would be an exhaustive expenditure of
people, time and resources. Instead, manufacturers can deploy Statistical
Process Control (SPC) and acceptance sampling techniques—Lot Tolerance Percent
Defective (LTPD), American National Standards Institute (ANSI) Z1.4, ANSI Z1.9
or Zero Acceptance Number Sampling (c=0) — to streamline inspections during high-volume production, while maintaining
quality.
3. Eliminate Paperwork: Manually recording data during product development and manufacturing
leads to a tremendous amount of paperwork. By automating manufacturing
processes and data input into a single, centralized repository, the data become
both easily accessible and understandable for all personnel. Inputting data
into quality systems eliminates cumbersome binders and filing cabinets previously
required to house papers.
4. Simplify
Compliance and Validation: Complying with laws set by the Federal Drug Administration (FDA 21 CFR
Part 11 and Part 820), the International Conference on Harmonisation of
Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH
Q9, ICH Q10), the International Organization for Standardization (ISO 13485),
or the European Commission's Directorate General for Enterprise and Industry
(GMP Annex 20) can be challenging and may even cause delays in production.
Utilizing a quality system to easily access necessary data will satisfy
reporting requirements for each of these organizations. Additionally, software
that provides validation assistance will further streamline compliance.
5. Reduce Scrap and
Yields: High-volume
production helps companies quickly get products on the shelf, but often results
in high levels of scrap. Many manufacturers note scrap and yield but few take
steps to reduce, much less track, these numbers. Manufacturing Intelligence
software powered by SPC monitors scrap and can trace it back to its source.
Adjusting processes or packaging based on this analysis can decrease waste, lower
costs and ultimately increase profitability.
Together, enterprise
quality systems, Manufacturing Intelligence platforms and automation help pharmaceutical and medical device manufacturers continue to deliver
life-altering, and often life-saving, solutions. These technologies promote product
safety and quality, speed time to market and streamline regulatory compliance
procedures – benefitting both the life sciences manufacturer and the consumer.
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Bio of Eric Weisbrod:
As the Technical Services
Manager at InfinityQS International, Eric Weisbrod is responsible for client
satisfaction through management of the Applications Engineering team.
Leveraging his experience by working directly with clients to overseeing
multi-site deployments, Eric helps clients attain the most value from
InfinityQS software and services. Prior to joining InfinityQS, Eric performed
materials research for the semiconductor industry and used InfinityQS software
to improve data collection and analysis. Eric earned a Bachelor of Science and
Master of Science in Mechanical Engineering from the University of
Wisconsin-Madison where his graduate work focused on finite element analysis
for the semiconductor industry.
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