The Design for Manufacturing Approach

whitePaper | July 30, 2020

After the COVID-19 pandemic abruptly ground the world to a halt in the first few months of 2020, it created both new challenges for the manufacturing industry and exacerbated those that had existed for some time. According to an article by McKinsey & Company analysts,1 the future we expected by 2020 hasn’t quite come to pass. Rather than a significant shift towards more automation and a smaller workforce, the opposite is true, due in part to the pandemic.

whitePaper | January 7, 2020

Implementing a PLM solution is top of mind for many manufacturing professionals in the race to keep up with an increasingly digital competitive landscape. But doing so involves tackling a range of challenges to ensure that personnel, business processes and IT infrastructure are equipped to be successful.

whitePaper | May 11, 2020

In manufacturing, the slightest deviation can have significant repercussions. This guide presents solutions, in the form of best practices, that will help quality and production managers solve their productivity issues and implement near-line and in-line automated dimensional inspections.

whitePaper | May 20, 2020

Today's manufacturers have had to pivot quickly to adapt to demands brought on by COVID-19. Business Intelligence and analytics have played a vital role in providing the most successful manufacturers with insights necessary to find new ways to: Improve product and service quality.

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 | January 12, 2022

Henry Ford’s visionary ideas and inventions well outlived him: the assembly line made its way from Industry 3.0 to Industry 4.0, where it became more “connected” and efficient.In this white paper, we explore how cutting-edge technologies such as machine learning (ML), artificial intelligence (AI), computer vision, and cognitive systems can be fine-tuned to support mass personalization and add a much-needed human touch to production (and beyond).