| dc.description.abstract | People have been accelerating the efficiency of production and manufacturing, since people replaced the workers with machines. After industrial revolution, people began to use electricity and began mass production. We have more time to carry out other invention because of the invention of the computer in 1970s. The manufacturing is progress faster than before. In 2011, Germany proposed Industry 4.0 which includes technologies such as unmanned factories, artificial intelligence, and big data and cloud computing. Countries have also put forward related policies, but most companies have no relevant technology, some are still in the automation stage of Industry 3.0, and some industries are still in the stage of mass production of Industry 2.0. Not every enterprise can have enough resources to be able to upgrade, but the industries still have to follow the trend. Constantly innovate to avoid losing the competitive advantage.
Industry 4.0 has a wide range of applications, but its main implications are smart production, which uses big data and cloud computing to replace human judgment, including sensors, the Internet of Things, and big data and cloud computing. Companies need to confirm those goals before pursuing Industry 4.0. Concepts or functions can effectively assist enterprises in upgrading, inventory existing resources, and gradually upgrade. In the process of import, a balance is achieved between the new and old systems. After the introduction, it must measure whether or not it is effective and gradually correct it. The goal of Industry 4.0 cannot be reached. This article uses a semiconductor manufacturing plant to establish a smart production platform as a case. It aims to illustrate how companies can enter the process of Industry 4.0 and provide SMEs with limited resources as a reference. | en_US |