With Lantek MES, the entire manufacturing process can be tracked from planning through execution, allowing operators to group parts according to various criteria, such as machines, materials, thicknesses, customer and delivery date.
To raise the bar on the status quo in unlimited hydroplanes, Ellstrom Racing started Five-Axis Industries, which in the beginning was essentially a hobby shop specializing in five-axis machining to make difficult-to-manufacture parts from hard metals, including titanium and stainless alloys.
Preventive maintenance is essential for manufacturers to reduce downtime—and the vast amounts of data being produced by plants can be effectively used for predictive maintenance.
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.
Dedicated in-house labs create and optimize laser welding processes for electric motors and batteries.
Marposs, announced on March 24 the availability of its Aeroel MecLab.X laser micrometer systems. These provide diameter measurements for components such as electric motor shafts, gage or piston pins, hydraulic components or any number of ground or turned parts.
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.
