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The Pittsburgh region is a hotbed of activity in robotics and AI. This activity includes research and technology companies that commercialize academic research and solve real world problems.

Amid vigorous growth in their industry, product lifecycle management (PLM) software developers are exploiting the cloud and machine learning to manage data and enhance the users’ experience.

More and more manufacturers are seeing productivity as a crucial factor to their business success. In the meantime, business models are changing from the large quantities and few variants to small quantities with frequently changed variants. This change requires high flexibility during production.

Road to maturity involves safeguarding supply chains, treating security with the same urgency as safety, for starters.

Manufacturing got smart when companies figured out how to make products in one market and sell them in another. Today, we call this supply chain logistics. But somewhere along the way, the innovation chain connecting supply (manufacturing) and logistics (the supporting infrastructure) started to diverge.

Blockchain technology is becoming a key player in modernizing supply chains to enable easy tracking, automate transactions and delivery, and build end-to-end trust, Chandra Narayanaswami, principal research staff member, Member IBM Academy of Technology at IBM Research, told people attending a smart manufacturing session at the MD&M West conference here last week.

So you have finally decided to start your digital transformation. You have seen the benefits around digitizing your operations. By connecting your disparate systems, you can start seeing what is actually happening in your plant and become more efficient. And not just in one plant, but in multiple plants.

Machine vision is proving ideal in helping humans perform tedious but crucial manufacturing tasks. That is why it is poised to grow significantly in the next few years.

The industrial revolution of today, called Industry 4.0, is driven by the interconnectedness of advanced technology, automation, robotics, and real-time data, also called the Internet of Things (IoT). While these cyber-physical systems can autonomously exchange information to trigger actions and make decentralized decisions, it’s impossible to dismiss the importance of the human element in manufacturing.

Glenn Bridgman describes the difference between his shop’s manual grinders and its newest state-of-the-art CNC ID/OD grinder, a Studer CT960 OD/ID from United Grinding (Miamisburg, OH), as “feel vs. facts.” Bridgman, president of Bridge Tool & Die (Buckley, MI), believes that manual grinding is a somewhat personal operation.