Applying AnyLogic software to simulate and 3D visualize the production line of steel structure factory – a case study of first-part column processing

• Main Authors: Yong-Ching Liang, 梁詠晴
• Other Authors: Hung-Ming Chen
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/z6q36n

碩士 === 國立臺灣科技大學 === 營建工程系 === 107 === Industrial 4.0 is the industrial upgrading program which is actively promoted by the government in recent years. Its main concept is based on the upgrade transformation promoted by several technological advancements, including big data, autonomous robots, simulation, etc. The main development direction is ”smart manufacturing” as the goal, and the technologies of the Internet of Things, virtualized factories, cloud services, communications and other technologies are closely linked to create a cyber-physical industry. Among them, simulation plays an important role and tool in Industry 4.0. Currently, it’s mostly used in high-tech factories, and its applications in the construction industry are still rare. In the construction industry, the steel structure factory has the characteristics of standardization, mass production, and customization. Among them, the first-part column processing is a production line with standard operation flow. However, in the current situation, the component production process is complicated and each component has inconsistent characteristics. For example, the length of the component, the number of shear stud, etc. In addition, the operation in the field work highly depends on the manpower. The number of employees in a working station may affect its efficiency. This study aims to simulate the production line of the first-part column for steel structure factory. Based on the actual operation and the resources available on the production line, the parameter configurations and the simulation logics will be carried out for each working station to form the virtual production line on Anylogic, which is a commercialized simulation software. Besides, the simulation results are visualized in a realistic 3D scene to support decision making on production management in an intuitive way.