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.
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.
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.
Feature-based Product Line Engineering refers to the engineering of a portfolio of related products using a shared set of engineering assets, a managed set of features, and an automated means of production.
The company creates a new laser unit while releasing a new tool grinding machine.
The need to permanently laser mark parts for tracking and tracing continues to grow.
The three keynote speakers of HOUSTEX, EASTEC, SOUTHTEC and WESTEC—the Manufacturing Technology Series—offer perspectives pertinent to manufacturers in general, but of particular use to small and medium-sized manufacturers.
The rise of cloud-based, Industry 4.0-level computing and networking technology is making multiple documentation and traceability requirements easier to navigate.
LIMS—the Low Investment Manufacturing System—is an unassuming little box consisting of a computer with proprietary Solution Engine software and an I/O hub that plugs into a standard outlet. When wired at the edge of a piece of production equipment, it becomes a simple solution for collecting and sharing complex sensor-derived data.