Job-specific training brings value to companies but can be very complicated when it comes to making sure every worker has had the best training possible to effectively produce the best products for customers. Especially in the manufacturing industry, efficiency is key and if products are not consistent with quality, they will be worse off in the economy.
With a global install base of nearly 300,000 industrial robots, Yaskawa Motoman has over 150 robot arm models currently in production. Well defined criteria help users find a robotic arm that suits industrial applications. Required payload, reach and repeatability specifications are market aspects. Each robotic arm model is paired with a robot controller that enables workers to program and control tasks of a single robot or coordinate multiple robot arms.
Easier to work with. Robotic automation is much easier to work with than humans. Robots don’t require coaching or ongoing training. Once one Robot is trained to do the work, all other robots immediately learn the same things. Robots don’t require the same supervision as humans and can work 24 hours a day, 7 days a week, without a break.
Since manufacturing products in the U.S. is more expensive due to salaries, compliance regulations and cost of materials, it has to be high quality. This is why knowledge of quality systems is important. The goal of a quality system is to ensure that the manufactured product has very little variance from the design standard. It is based on statistical process control (SPC). Six Sigma, ISO 9001 or TQM are different kinds of quality systems. Knowledge of any of these systems would make a job seeker stand out from the other job candidates.
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.