Luc Burgard, a leader in pharmaceutical manufacturing with experience in biotechnology and automotive sectors, highlights the importance of data analytics in strategic decision-making and shares insights on building specialized teams using Minitab.
How can we make products that need critical material/dimensional performance and are also of a size that becomes very difficult to rapidly and economically produce?
The manufacturing industry has seen major upheaval over the past few years. From supply chain disruption to worker shortages, keeping the pipeline filled with quality products – free of defects – has been no easy challenge. Because of these issues, the promise of Industry 4.0, or smart manufacturing, has never been more important.
While COVID dampened demand early on, the skills gap and labor shortage that has plagued the industry for more than a decade is still in full swing. As new NDT methods advance, quality professionals require new training, and technicians transitioning from film techniques to non-film techniques need hands-on experience.
Today’s modern quality software technologies use advanced, yet simple, analysis tools to provide actionable information at a higher level, than older technology allowed for.
More important than the inventor, the first company to market, or even the technology itself, is adoption of the technology. Whether a technology is adopted early or late can make or break not only the technology, inventor, company, or entire industry, but also an entire economy.
The time is the late 1960s. Detroit muscle cars roam the streets. Woodstock is just around the corner. Passenger air travel is growing at an unprecedented rate.