Resilience-driven maintenance scheduling methodology for multi-agent production line system
文献类型：会议论文
| 作者 | Wang X(王潇); Qi C(祁超); Wang HW(王洪伟); Si QM(佀庆民); Zhang GW(张国伟)
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| 出版日期 | 2015 |
| 会议名称 | 27th Chinese Control and Decision Conference, CCDC 2015 |
| 会议日期 | May 23-25, 2015 |
| 会议地点 | Qingdao, China |
| 关键词 | resilience deteriorating quality states semi-Markov decision processes resource constraints multi-agent reinforcement learning |
| 页码 | 614-619 |
| 中文摘要 | In recent years, the public has been paying ever greater attention to problems related to resilience, since resilience presents the recovery ability to increasing complexity and vulnerability of disturbances. Many researches have been performed to address resilience of networks disruptions in manufacturing. However, a systematic method to model and analyze maintenance scheduling in disturbed production line system is not well developed. This paper considers a resilience-driven maintenance scheduling methodology under maintenance resource constraints for a simplified production line system, which consists of an upstream production machine, a downstream production machine and an intermediate buffer. The machines with degradation quality states represented by multiple decreasing yield levels are modeled as semi-Markov decision processes. A hierarchical and policy-coupled methodology based on reinforcement learning is used to determine maintenance policy of the system. The numerical results show that the application of the methodology to the aforementioned system can minimize the total cost and converge to the approximate optimal solution. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 3 |
| 会议录 | Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISBN号 | 978-1-4799-7016-2 |
| WOS记录号 | WOS:000375232901036 |
| 源URL | [http://ir.sia.cn/handle/173321/17196]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Wang X,Qi C,Wang HW,et al. Resilience-driven maintenance scheduling methodology for multi-agent production line system[C]. 见:27th Chinese Control and Decision Conference, CCDC 2015. Qingdao, China. May 23-25, 2015. |
入库方式： OAI收割
来源：沈阳自动化研究所
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