There are many works that robot can carry out but some work only human beings can do. No robot can replace any human being but robots can perform few works more efficiently which are repetitive. All you need to do is program them in the way you want them to work. Many industries have been making use of these robots for many purposes like manufacturing, automotive, biotech, pharmaceutical and machinery.
The industrial robots can be programmed for performing a single function at a time and can only perform that particular function till they are reprogrammed. The cost of a robot is not very huge, but generally the cost of programming the robot is so high that instead of reprogramming it the manufacturers find it more economical to buy a new one for a different task. In simpler terms we can say that usually the cost of the robot is just a fraction of the cost of programming it.
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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.
Okay so, rather than running redline down the Six Sigma, TQM, and Finite Capacity Scheduling Model assembly line – why not really mix things up? Why not turn the three story assembly floor into a robotic Rubik’s Cube factory floor, which would operate like a robotic parking structure. An AI mathematical system could keep the system at optimum, and it would allow for all sorts of possibilities? Well, why not think on that for the next five-minutes and shoot me an email if you have any ideas along this line of thinking?
The study provides historic data of 2015 along with forecast from 2016 to 2024 based on volume (units) and revenue (US$ Mn). It includes drivers and restraints of the packaging robot market along with their impact on demand during the forecast period. The report also comprises the study of opportunities available in the market for packaging robot on the global and regional level.