If we did the same thing for robotic welding machines at our modern automobile factories we would surely have enough heat energy spinning those small wheels to power up all the lights in the factory. Wouldn’t it be great to know that even if the power went off, the grid went down, or there was any sort of power failure that the factory could keep running because it kept reusing at least most of its energy? Remember in the manufacturing process it’s all about efficiency, and that’s why I came up with a strategy. Indeed I hope you will please consider all this and think on it.
You see, there was an interesting article in Business Insider Tech News titled ”Foreign robotics companies find success in China,” written by Jonathan Camhi published on September 22, 2015 which stated:
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Automation improves the level of production and competence of certain industries. It is in this regard that industrial robotic systems have been conceptualized. It is true that this system renders much help to operators. The predicament however lies upon the price that goes with it. In industries where modernization has not yet been introduced, learning how to operate the system adds to the burden.
Machine vision systems comprise high-resolution cameras linked to powerful image processing software. They make for efficient handling and control, and work without wear and tear even under demanding manufacturing conditions. Machine vision systems achieve high success rates, and ensure smooth production without manual intervention or supervision, even in unpleasant environmental conditions.
Similarly, offshore manufacturers incur expenses like shipping, inventory, communication, travel, training, permits, duties, tariffs, compliance with import/export restrictions and others which they may not incur in their country. This in the long run pushes the production cost.