Is Now the Time to Try Direct Digital Manufacturing?

whitePaper | September 21, 2022

In the spring of 2021, the Manufacturing Leadership Council, a division of the National Association of Manufacturers, launched its Manufacturing in 2030 Project. The project’s main goal is to enable manufacturers to envision what manufacturing might look like by the year 2030.

whitePaper | September 18, 2022

RPA is a system that allows businesses to automate tasks and processes that are normally performed by employees. RPA works across different platforms, applications, and departments. RPA integrates seamlessly with existing IT infrastructure, requiring no additional installation. Organizations do not have to invest heavily in automating essential processes

whitePaper | January 24, 2020

Small-to-midsize businesses in manufacturing and distribution industries are focused on growing revenue, reducing costs, and improving customer experience. However, nearly 40% of companies don’t believe their current business infrastructure and applications (e.g., enterprise resource planning) are adequate for delivering these business priorities.

whitePaper | August 3, 2022

Automakers, OEMs, and suppliers have faced unprecedented challenges in the wake of COVID-19. From chip shortages to truck barricades on the US–Canada border cutting off the flow of products, the automotive industry has been severely impacted by challenges that are leading to a loss of sales and frustrated customers. Advanced technologies are no longer “nice to have” but are now essential as automotive manufacturers step up their game to provide customers with more for less. Patched together, legacy systems, and outdated functionality tend to create more confusion than answers. Disconnected, siloed teams struggle with unreliable data and no clear vision for gaining new customers and retaining the old.

whitePaper | August 1, 2022

The story of manufacturing is one of constant technological change and evolution. It is also a story with a sweeping geopolitical arc from the industrial revolution in 19th century Britain to modern day China accounting for nearly 30% of the world’s manufacturing1 . The march of the machines is relentless and for large portions of society, alarming. Today’s technology is even imbued with the ability to learn – Blake Lemoine, a software engineer at Google, believes a chatbot his firm has created is capable of conscious thought2.

whitePaper | October 25, 2022

Traditionally, early-stage and late-stage process development have been done separately, with early-stage mostly focused on material production and late-stage on process intensification. As more molecules in development fall under an orphan or fast-track indication, the traditional approach of linear development stages can be counterproductive—not to mention expensive—due to investing resources in perfecting a process prior to early clinical phase success.