会议论文详细信息
4th ModTech International Conference - Modern Technologies in Industrial Engineering
A Multi-Agent Approach to the Simulation of Robotized Manufacturing Systems
Foit, K.^1 ; Gwiazda, A.^1 ; Bana, W.^1
Silesian University of Technology, Faculty of Mechanical Engineering, Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Konarskiego 18A, Gliwice
44-100, Poland^1
关键词: 3-D virtual environment;    Agent-based approach;    Development cycle;    Industry development;    Intelligent Manufacturing;    Multi-agent approach;    Production system;    Robotized manufacturing;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/145/5/052011/pdf
DOI  :  10.1088/1757-899X/145/5/052011
来源: IOP
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【 摘 要 】

The recent years of eventful industry development, brought many competing products, addressed to the same market segment. The shortening of a development cycle became a necessity if the company would like to be competitive. Because of switching to the Intelligent Manufacturing model the industry search for new scheduling algorithms, while the traditional ones do not meet the current requirements. The agent-based approach has been considered by many researchers as an important way of evolution of modern manufacturing systems. Due to the properties of the multi-agent systems, this methodology is very helpful during creation of the model of production system, allowing depicting both processing and informational part. The complexity of such approach makes the analysis impossible without the computer assistance. Computer simulation still uses a mathematical model to recreate a real situation, but nowadays the 2D or 3D virtual environments or even virtual reality have been used for realistic illustration of the considered systems. This paper will focus on robotized manufacturing system and will present the one of possible approaches to the simulation of such systems. The selection of multi-agent approach is motivated by the flexibility of this solution that offers the modularity, robustness and autonomy.

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