Application of Digital Visualization in Traditional Manufacturing Transformation

At present, when traditional industries process a large amount of data and key data are combined with specific technologies and management skills, a lot of manpower is required for data processing or decision-making work analysis. However, within the background of information technology, sensing components and various decision-making calculations are mature, and a manufacturing system that uses a large amount of advanced sensor software of the graphical user interface (GUI) and hardware systems of, for example, photoelectric, registration mark, color and luminescence, pick-to-light, and temperature vibration sensors can become more and more intelligent and capable of replacing some human expertise. Intelligent manufacturing is expected to improve the efficiency of the whole production process, provide timely production technology, complete the production schedule, control the accuracy of the delivery date, and devise effective countermeasures in accordance with market changes at any time. Therefore, a digital transformation system solution is proposed for enterprise problems or the development of bottlenecks, so that the digital level of the entire industry operation can be improved. Therefore, it is expected that Microsoft's Power Business Intelligence (PBI) can be utilized to visualize and present the data imported from Excel, allowing the production data to be transformed into easily readable charts. This enables the real-time monitoring of on-site information, ensures the proper material coordination, and achieves Just-In-Time (JIT) production. By adopting this approach, enterprises can easily implement intelligent manufacturing, improve work efficiency, reduce the cost of acquiring visualization systems, and enable managers to have real-time insights into the current operational status of the company. This reduces the need for substantial investment in funds and manpower, allowing companies to allocate resources in accordance with their needs and accelerate the transformation into the era of smart manufacturing.