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?
As the United States continues to try to pull itself out of a recession, many people are wondering where manufacturing jobs stand in the faltering economy. But is manufacturing a growing industry in the United States? Well, it depends on whom you ask.
So, getting back to the original posed question: is there truth to the Day Trading Robot scam or is it the greatest secret in the financial world at the moment? The answer, it seems, lies closer to the middle. Day Trading Robot and 99% of every other stock trading system’s site is hyped out the nose, and true or not I suppose it helps them sell product. The main point I want to make about this system is that it doesn’t win EVERY trade.
The world cleaning robot market is segmented based on product, vertical, and geography. The product segment is classified based on floor robot, pool robot, window robot, lawn robot, and others. The verticals covered in the report are residential, commercial, industrial, healthcare, and others. The market is divided geographically into North America, Europe, Asia-Pacific, and Latin America, Middle East and Africa (LAMEA).
Nearly every day a news story is published that proclaims the U.S. manufacturing industry is dead and little if any manufacturing hiring is occurring. Take these claims with a grain of salt. U.S. manufacturers are thriving. But they are not the low tech, unskilled-labor businesses of twenty or thirty years ago. They have integrated so much technology into the manufacturing process that they require highly trained employees.