![]() It increases the need for emergency maintenance, which increases overtime pay and leads to substantial downtimes if parts are on backorder. That’s reactive maintenance and it’s costly. Factory owners often rely on a reactive maintenance mindset. Regular oil changes and inspections of your car are also preventative maintenance, and it’s not what most factories do. If you own a home, you know that you have to do things like have your heating system cleaned each year to prevent it from breaking down. Plants that rely on AI have the benefit of predictive maintenance to ease frustration and save money. There are four types of maintenance: predictive, preventative, reliability-centered, and reactive. Decreased Maintenance Costs and Requirements This decreases accidents and damage to the building, the equipment, and to workers. Everything the machine does is perfectly timed and choreographed. When machines and AI are doing the bulk of the manufacturing or production work, the system is precise. With the backup energy source, your plant can continually run. ![]() Machines only need electricity, and you can account for random power outages by having an alternate energy source like solar or wind power. Employees have basic needs like access to food, water, and a comfortable work climate. You save money at night without having to crank up the heat and overhead lights. Less Power Consumption and Worksite RequirementsĪutomation doesn’t need a warm room to run, and it doesn’t need the lights on. What can AI do for factory automation? It helps in many ways, but here are the top reasons AI makes a big difference in production and manufacturing. AI has come a long way, and manufacturing and production factories are one area where AI is thriving. There are driverless cars, machines run solely by computers, and even AI robots that provide companionship to people. Years later Watson would beat two Jeopardy champions at the trivia game. IBM’s Deep Blue beat a chess champion at the game, showing that computers were incredibly capable of processing information and making smart choices. In the 1990s, Dragon Systems created speech recognition software for Windows. ![]() As computers became more accessible and government funding for research improved around the world, AI started to adapt. To start with, computers were incredibly expensive, so very few companies had them. While Turing had the basic idea, computers were limited at that point. But additional steps were needed to bring AI to where it is today. This led to his paper “Computing Machinery and Intelligence,” which was an important first step in creating “smart” machines. Artificial intelligence started in the 1950s with people like Alan Turing who explored how machines could use available information to find solutions to problems, just as humans did.
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