Two attorneys explain why a strong sales contract is a necessity in the metals industry.
In 2020, the ability for manufacturers to rapidly pivot to changing market demands and challenges became critical for success—and in many cases, survival.
When visiting some machine shops I hear PM, most commonly known as preventive maintenance, referred to as “postmortem,” as in, “We just run the machines until they die.”
Demand for automation and robots is surging in multiple industries, including automotive, writes the CEO of Thomas.com.
Living with the day-to-day reality of COVID-19 can be challenging for individuals. Running a business in this pandemic era is an order of magnitude harder.
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.
My original intention for this column was to discuss a phrase getting a lot of buzz lately, artificial intelligence (AI). By any measure, interest in AI is expanding exponentially, both in the number of articles one can read on the subject and, according to Google Trends, the number of searches for those articles.
Our focus has always been on helping manufacturers improve quality, productivity and visibility. In Sight Machine 2.0, among other things, we’ve added a set of enhancements to improve visibility.
With vaccinations on the rise, the in-person collaboration that is still essential to doing business, including trade shows, is growing. But challenges to recovery from the pandemic remain. Global supply chains are struggling with multiple disruptions. Shipping rates are historically high. Computer chip shortages are curbing output.
Automakers during this decade face a big challenge. They are having to invest in electric vehicles. But EVs, at least for now, won’t generate the profits of conventional vehicles, according to an annual report by consulting firm AlixPartners.
