Tom Comstock

The story of the manufacturing industry has been one of progress. Few manufacturers continue to produce the same products as they did in their infancy years. In order to remain competitive, manufacturers must continue to evolve their products to meet the demands of the marketplace. But meeting consumer demand is only half the battle — the other half is staying up to speed with industry advancements. New technology brings a host of changes that manufacturers must recognize. For example, increasing dependence on automation leads to the need for more skilled workers who understand these advanced systems. If workers cannot adapt successfully, organizations could find themselves struggling to keep up with the rest of the industry. To remain competitive in this dynamic environment, organizations should have several tools at their disposal that go beyond the physical equipment and technology innovations used in their facilities. These tools are ideas manufacturers can keep in their toolbox and use to produce next-level productivity. For example, one tool can be an investment in regular maintenance, which can ensure that machinery stays in service for as long as possible. This results in higher productivity and fewer costly downtime periods. For more ideas manufacturing companies should keep…

Prospects of supply chain automation have the industry abuzz. It’s even become a major sticking point in the International Longshoremen’s Association contract negotiations with the United States Maritime Alliance. The dockworkers do not want ports to automate processes out of fear they will lose their jobs to machines. Today, there are seemingly endless possibilities for optimization. Terms like generative artificial intelligence and machine learning have become commonplace in discussions about ways to gain efficiencies and reduce costs. Can man and machine work together as businesses leverage automation for optimization? Beyond the Buzz: Understanding the Automation Imperative Machine learning, a subset of artificial intelligence (AI), is described by Business News Daily as a later-stage development in which machines take in data on their own and then analyze it. Automation, on the other hand, is fixed on repetitive tasks; after a job is performed, an automation system “thinks no further.” The Business News Daily article explained that “automation involves an entire category of technologies that provide activity or work without human involvement,” while AI involves “a machine exhibiting and practicing something similar to what we describe as human thinking – that is, the ability to interact in thousands of ways with the…