摘要
在设备智能维护决策理论的基础上,建立基于风险的供应链风险智能维护决策模型.以供应链长期运作成本率最低为目标,借助半马尔可夫决策相关理论,对供应链风险智能维护决策模型进行构建,给出了模型的相关算法,并以实例验证模型及算法的有效性.
Traditional supply chain risk remedial maintenance decision not only need high maintenance costs but also make supply chain node enterprises a huge loss. The supply chain risk E-maintenance decision can implement targeted maintenance based on risk prediction. Since there is a certain similarity between supply chain risk and equipment failure and the equipment failure E-maintenance decision had been researched by many researchers. In this paper, supply chain risk E-maintenance decision model is built by using the Semi-Markovian decision theory to the lowest rate of long-term operating costs of the supply chain target, then the algorithm of model is given. At last, the validity of the model and algorithm is verified in the examples.
出处
《西安工程大学学报》
CAS
2013年第5期643-647,共5页
Journal of Xi’an Polytechnic University
基金
陕西省教育厅专项基金资助项目(12JK0051)
陕西省自然科学基金资助项目(2011JM9004)
西安工程大学学位与研究生教育"质量工程"资助项目(13YZL09)
关键词
供应链
风险状态
智能维护
决策模型
supply chain
risk status
E-maintenance
decision model