Publisher's Synopsis
For example, advanced robotics can be applied to 3 D printing technological manufacturing copied product tasks from digital -physical transformation. So, (AI) robotics can replace workers to do any 3D printing tasks to copy any products. The benefits to change the factory's physical location to be small areas, high speed network, raising producers' revenues ( new offering, business models) and reducing cots ( selling, administrative expenses, logistic etc. ), less long term investments and capabilities to achieve 3 D printing product increasing number in efficient (AI) robotic working speed. Although, it is possible to destroy factory labor worker 3 D printing product job, but it can create new 3 D printing (AI) robotic controller working jobs to be technicians to teach (AI) robotic machines to learn how to use 3 D printer to manufacture any copied products. The most important benefit of 3D robotic machines replacing labor 3D printing labors that is the manufacturer can reduce labor 3 D printing worker number, due to the manufacturer applies (AI) robotic to assist the 3D printing workers to fo every step of manufacturing copied product tasks. So, the 3D printing (AI) robotic machine labors can replace all 3 D printing labor workers to do every step to apply 3 D printers to manufacture every copied product. Otherwis, the 3 D printing copied product manufacture will employ the (AI) robotic technicians to control and supervise and teach the (AI) robotic 3 D printing product machines to learn how to use the 3 D printers to do every step to manufacture different kinds of copied products to sell in the market. Hence, the 3 D printer copied product manufacture will reduce labors and salary when it applies 3 D printing robotic machine labors to replace labor workers to finish every printing step to manufacture different kinds of copied products in factory. for example, when the 3 D printing technicians had taught the robotic machine to learn how to apply 3 D printer to manufacture a copied vehicle's motor engine. Then, the (AI) robotic machine had learnt how to apply the 3D printer to manufacture different kinds of copied vehicle motor engines in every step. It is possible that the (AI) robotic machine 3D printing skills will be improved more better to compare human 3 D printing workers' skills as well as its 3D printing vehicle motor engine copied product manufacturing speed will also faster than human 3D printing worker's printing copied manufacturing product's speed. Consequently, it will bring positive benefits to any kinds of vehicle engine products productivity number growth to sell different kinds of vehicle engines to vehicle sellers to different country vehicle sale market in order to raise its global vehicle engine sale market competitive effirt and revenue. So, (AI) robotic machine seems really raise productivity growth when it is applied to manufacturing industry.Why is (AI) learning system the best tool to be applied to manufacturing industry? In fact, future (AI) robotic machine will be one kind of intangible capital to manufacturing organizations to help them to innovate, adjustment costs, organizational changes to be better and new manufacturing skills are needed for successful in every production process. Historically, most computer programs were created by codifying human knowledge, step-by-step, mapping inputs to outputs by the programmers. In constrast, machine learning systems use categories of general algorithms, e.g. neural networks to figure out the relevant mapping on their own, typically by being fed very large data sets of examples. By using these machine learning methods bring the growth in total data and data processing resources, machines have made impressive gains in perception and cognition, two essential skills for most types of human work.