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Artificial Intelligence is weaved in with capacity management, cybersecurity, data science, diagnostics, ERP-PLM integration, location analysis, machine learning, predictive maintenance, process optimization, situational awareness and supply chain management.

DP Tool & Machine Inc. (Avon, NY) is a contract machine shop that benefits from a well-rounded array of advanced machining and manufacturing technologies. These include multitasking and five-axis machines as well as automation and some digital connectivity.

My instincts tell me we need a sense of urgency around the use of artificial intelligence (AI) in manufacturing. The urgency is driven by how quickly technology can move today, and how an unexpected breakthrough can quickly dominate.

Lasers — well-established tools in the manufacture of medical devices—are continuing to break ground by producing smaller, more precise and more functional parts thanks to faster pulse speeds at lower cost, new applications and the marriage of laser processing to Swiss-style machining.

Technological gains, young ambassadors, apprenticeships help. But manufacturers’ training investment remains a problem.

While EDMs offer the benefits of holding tight tolerances, working on nearly any metal, and being well suited for delicate or fragile parts, knowledgeable operators for the machines are increasingly hard to find and robots can’t always fill the gap. Automated processes in the machines, newer designs and features of Industry 4.0 are helping to solve the problem.

More than 4,600 cutting tools items from M.A. Ford (Davenport, IA) are listed on MachiningCloud (Camarillo, CA), with more to come. M.A. Ford manufactures standard, high performance and custom cutting tools with worldwide manufacturing and distribution facilities. MachiningCloud is a product data provider for cutting tools, CNC machines and workholding.

The COVID-19 black swan event disrupted the global economy and forced companies to rapidly rethink their processes, operations and supply networks.

The current COVID-19 experiences have energized many conversations about our futures in the post-COVID world, and that includes the future of manufacturing.

Many process manufacturing companies are on the path to digitization and have piloted analytics to improve operational performance and improve their competitive edge.