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基于风险的供应链智能维护决策模型
引用本文:赵小惠,李俊,方绳岚.基于风险的供应链智能维护决策模型[J].西安工程科技学院学报,2013(5):643-647.
作者姓名:赵小惠  李俊  方绳岚
作者单位:西安工程大学机电工程学院,陕西西安710048
基金项目: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)
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.

关 键 词:供应链  风险状态  智能维护  决策模型

Risk-based supply chain E-maintenance decision model
ZHAO Xiao-hui,LI Jun,FANG Sheng-lan.Risk-based supply chain E-maintenance decision model[J].Journal of Xi an University of Engineering Science and Technology,2013(5):643-647.
Authors:ZHAO Xiao-hui  LI Jun  FANG Sheng-lan
Institution:(School of Mechanical & Electrical Engineering, Xi'an Polytechnic University, Xi'an 710048, China)
Abstract: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.
Keywords:supply chain  risk status  E-maintenance  decision model
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