The most important step in digitizing any manufacturing or supply chain process is analysis of the ROI and business case and being able to demonstrate success to company leaders.
Whether transmitted through wires or the air, data collected from older factory devices can help a shop owner make smarter business decisions.
This year’s RAPID + TCT show signaled a new wave of users, with 35 percent of the audience being new to adopting additive manufacturing technologies.
Digitization and data dominated the discussion as EASTEC returned to West Springfield, Mass., after its 2020 pandemic hiatus.
Why don’t more manufacturers in the United States use smart manufacturing technologies like AI and machine learning to reduce waste, achieve predictive maintenance and enhance their automation systems? Five CESMII roundtable panelists share their insights.
Machine operators can replace time-consuming manual setups and gauging with the precision of digital metrology through a conversational CNC interface.
How the digital thread increases visibility of upstream and downstream workflows.
As broad-based adoption of wearable tech grows, it is not a stretch to think that in a few years we will have enough predictive data to dramatically reduce workplace injuries and fatalities.
Reverse engineering is becoming multifaceted and complex. The key drivers: new metrology sensors and more capable software, enabled by ever more powerful and cheaper computing.
The COVID-19 pandemic clearly proved challenging to the manufacturing industry in myriad ways. Now, as nations and industries begin to navigate their way forward as restrictions are lifted, manufacturers have an opportunity to put into practice some lessons learned.