From there, the cigarette will move onto the packaging area. Packaging is interesting as the cigarettes are each turned opposite from each other and then put into packs. This insures a tight fit into the wrapping. All in all, this process takes micro seconds for each cigarette! Amazing. Cigarette manufacturing is now so high speed that automated machines can now produce more than eighty thousand cigarettes in the same time that it used to take to make just one cigarette by hand.
There are certain trades for which a greater number means a greater profit. For all such trades, automated robots are the best bet. It is because you can choose to keep them working all night and day without a stop.
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Computer Numerical Control (CNC) machining is another form of automation used in the U.S. manufacturing industry. CNC machines are typically lathes that machine parts used in automobiles, for instance. To operate a CNC machine requires not only machinist skills but programming skills. Just go to any online job board and search for CNC machinist jobs and a job seeker will find hundreds if not thousands of open CNC jobs. Don’t let anyone tell you that the U.S. manufacturing industry is dying. It isn’t. But it’s a high technology business that requires a high technology employee.
Robotic process automation refers to the use of software programs to perform tasks that have been previously performed exclusively by humans or at least, thought to be only possible to have been done by humans. These programs, referred to by the moniker ‘bots’, can be programmed to perform a variety of tasks. The so called ‘dumb’ bots can perform simple tasks like controlling and maintaining systems, monitoring levels and other mundane tasks that do not require any decision making and fall within well-defined rules.
In addition to cost efficiency, high-tech training for certain manufacturing jobs would be very scarce to come by. The automated, hyper-efficient shop floors of modern manufacturing won’t give Trump much room to deliver on his promises to bring back millions of jobs for his blue-collar supporters. Instead of companies investing in robots to give them better returns in the future, they would have to invest in training programs to help accommodate workers that need the training for more complex jobs. Specifically, for more digitalized companies, the margin for investing in training compared to that of robotic costs would be very high, to the point where it wouldn’t even make much sense to invest in job-specific training.