For machine shops in a competitive global marketplace, keeping spindles running and making product is the only way to stay in business. Still, adding a new piece of equipment, even with the promise of improving the efficiency of your existing ones, may be a difficult sell to management.
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The keynote for Haimer USA’s May Open House at its headquarters in Villa Park, Illinois, was delivered by President Brendt Holden, who remarked that his company’s toolholding and related products are designed to provide consistent setup for their customers’ machining jobs.
Makers of workholding devices face a moving target. The machine tools they work with are changing. There’s more high-speed machining. More high-feed machining. More multi-axis machines. New uses of coolant to reduce temperatures during cutting operations.
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.
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.
Energy markets across the world are changing rapidly with the increase of renewables and the change to a more distributed energy network. Energy storage is key. The capabilities of large-scale batteries have expanded, allowing users to capture more value and create a powerful tool to manage energy needs.
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.
When drilling a well, clearing a forest or excavating a building site, experienced operators count on their toughest equipment to help them get the job done.
Road to maturity involves safeguarding supply chains, treating security with the same urgency as safety, for starters.
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.