에이전트 간 협업에 기반하는 제조실행 프레임워크
Manufacturing Execution Framework Based on agent-to-agent Collaboration
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
MES(manufacturing execution system) plays a critical role in improving production efficiency by managing operations across the entire manufacturing system. Conventional manufacturing systems employ a centralized control structure, which has limitations in terms of the flexibility, scalability and reconfigurability of the manufacturing system. Agent-based manufacturing systems, on the other hand, are better suited to dynamic environments due to their inherent high autonomy and reconfigurability. In this study, we propose an agent-based MES and present its collaboration model between agents along with a data structure. The agent-based MES consists of three types of core agents: WIPAgent, PAgent(processing agent), and MHAgent(material handling agent). The entire manufacturing execution process operates through collaboration among these core agents, and all collaboration is carried out through autonomous interactions between the agents. In particular, the order-by-order dispatching process and the WIP(work-in-process) routing process are represented as respective collaboration models to facilitate understanding and analyzing the processes. In addition, we define data specifications required for MES implementation and operation, and their respective structures and relationships. Moreover, we build a prototype system employing a simulation model of an exemplary shop-floor as a simulation test bed. The framework proposed in this study can be used as a basis for building an automated operating system in a distributed environment.
Abstract
MES(manufacturing execution system) plays a critical role in improving production efficiency by managing operations across the entire manufacturing system. Conventional manufacturing systems employ a centralized control structure, which has limitations in terms of the flexibility, scalability and reconfigurability of the manufacturing system. Agent-based manufacturing systems, on the other hand, are better suited to dynamic environments due to their inherent high autonomy and reconfigurability. In this study, we propose an agent-based MES and present its collaboration model between agents along with a data structure. The agent-based MES consists of three types of core agents: WIPAgent, PAgent(processing agent), and MHAgent(material handling agent). The entire manufacturing execution process operates through collaboration among these core agents, and all collaboration is carried out through autonomous interactions between the agents. In particular, the order-by-order dispatching process and the WIP(work-in-process) routing process are represented as respective collaboration models to facilitate understanding and analyzing the processes. In addition, we define data specifications required for MES implementation and operation, and their respective structures and relationships. Moreover, we build a prototype system employing a simulation model of an exemplary shop-floor as a simulation test bed. The framework proposed in this study can be used as a basis for building an automated operating system in a distributed environment.
참고문헌 (29)
- Albadawi, Z., "Agent-based control of manufacturing processes", International Journal of Manufacturing Research, 1(4), pp.466~481 (2006)
- Colombo, A. W., "An agent-based intelligent control platform for industrial holonic manufacturing systems", IEEE Transactions on Industrial Electronics, 53(1), pp.322~337 (2006)
- Erol, R., "A multi-agent based approach to dynamic scheduling of machines and automated guided vehicles in manufacturing systems", Applied Soft Computing, 12(6), pp.1720~1732 (2012)
- Gao, Q., "Research of Internet of Things applied to manufacturing execution system", 2015IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), pp.661~665 (2015)
- Guo, Q., "A novel approach for multi-agentbased intelligent manufacturing system", Information Sciences, 179(18), pp.3079~3090 (2009)
- Han, J. S., "MES system based on real-time process capability management", Journal of the Korea Society of Computer and Information, 25(11), pp.115~122 (2020)
- Jules, G., "Agent cooperation mechanism for decentralized manufacturing scheduling", IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(12), pp.3351~3362 (2016)
- Kim, M. J., "An agent-based manufacturing execution framework: the Hanbat smart factory testbed", Proceedings of the Spring Joint Conference of the Korean Institute of Industrial Engineers, pp.2828~2833 (2023)
- Kim, S. M., "A case study on smart factory extensibility for small and medium enterprises", Journal of Korean Society of Industrial and Systems Engineering, 44(2), pp.43~57 (2021)
- Kim, Y. G., "Multi-agent system and reinforcement learning approach for distributed intelligence in a flexible smart manufacturing system", Journal of Manufacturing Systems, 57, pp.440~450 (2020)
- Leitao, P., "Agent-based distributed manufacturing control : A state-of-the-art survey", Engineering Applications of Artificial Intelligence, 22(7), pp.979~991 (2009)
- Leng, J., "Blockchained smart contract pyramid-driven multi-agent autonomous process control for resilient individualised manufacturing towards Industry 5.0", International Journal of Production Research, 61(13), pp.4302~4321 (2023)
- Li, K., "A multi-agent system for sharing distributed manufacturing resources", Expert Systems with Applications, 99, pp.32~43 (2018)
- Lim, M. K., "A multi-agent based manufacturing control strategy for responsive manufacturing", Journal of Materials Processing Technology, 139(1-3), pp.379~384 (2003)
- Lu, Z., "A framework of multi-agent based intelligent production logistics system", Procedia CIRP, 83, pp.557~562 (2019)
- MES Functionalities & MRP to MES Data Flow Possibilities No. 2, "MESA International", ~ (1997)
- Mourtzis, D., "Decentralized manufacturing systems review: Challenges and outlook", Robust Manufacturing Control: Proceedings of the CIRP Sponsored Conference RoMaC 2012, pp.355~369 (2012)
- Odell, J., "Agent-based manufacturing : a case study", Journal of Object Technology, 1(5), pp.51~61 (2002)
- Park, H. S., "An autonomous manufacturing system based on swarm of cognitive agents", Journal of Manufacturing Systems, 31(3), pp.337~348 (2012)
- Current Status of Agent-Based Distributed Manufacturing Management Technology, "Park, S. J.", KISTI, ~ (2010)
- Parunak, H. V. D., "Agents in overalls : Experiences and issues in the development and deployment of industrial agent-based systems", International Journal of Cooperative Information Systems, 9(3), pp.209~227 (2000)
- Ryu, G. Y., "Self-reconfigurable manufacturing system and smart manufacturing execution system for implementing future manufacturing systems", CDE Review, 20(1), pp.39~48 (2014)
- Sahin, C., "A multi-agent based approach to dynamic scheduling with flexible processing capabilities", Journal of Intelligent Manufacturing, 28, pp.1827~1845 (2017)
- Shen, W., "Applications of agent-based systems in intelligent manufacturing : An updated review", Advanced Engineering Informatics, 20(4), pp.415~431 (2006)
- Shin, M. S., "Employment Contract-Based Management Model of Production Resources on Relation-Driven Fractal Organization", Journal of the Korean Institute of Industrial Engineers, 39(4), pp.278~289 (2013)
- Shin, M.S., "Development of simulation-based virtual manufacturing system for discrete manufacturing systems", 2021 Korea Industrial Management Systems Society Fall Conference, pp.247~253 (2021)
- Shin, S. J., "Developing a big data analytics platform architecture for smart factory", Journal of Korea Multimedia Society, 19(8), pp.1516~1529 (2016)
- Srai, J. S., "Distributed manufacturing: scope, challenges and opportunities", International Journal of Production Research, 54(23), pp.6917~6935
- "The AnyLogic Company"[URL]