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【明理讲堂2021年第29期】5-21北京工业大学彭锐校聘教授:A two-dimensional maintenance optimization framework balancing hazard risk and energy consumption rates


腾讯会议号:911 987 113

报告人:北京工业大学 彭锐 校聘教授


彭锐:博士,北京工业大学经济与管理学院校聘教授,博士生导师。2007年7月毕业于中国科学技术大学少年班,获学士学位;2011年10月毕业于新加坡国立大学,获得博士学位。2012年1月进入北京科技大学东凌经济管理学院,2014年7月破格晋升为副教授, 2018年11月加入北京工业大学经济与管理学院,2020年1月评上博士生导师。主要研究领域为能源系统风险评估与政策优化。已发表100多篇SCI期刊论文,5本专著,主持或参与8项国家自然科学基金或国家重点研发计划,并主持北京市科技新星项目。Reliability Engineering & System Safety的编委,IEEE senior member,中国现场统计学会可靠性分会副秘书长,中国优选法统筹法与经济数学研究会工业工程分会常务理事,中国运筹学会可靠性分会常务理事,中国指挥与控制学会可靠性专委会常务理事。2018至2021连续四年入选Elsevier中国高被引学者。


Numerous power assets, such as power cables and refrigerator, have inevitably confronted with severe energy consumption problems. An essential topic in maintenance engineering of such assets is to balance energy consumption mitigation and malfunction risk control, such that to reduce production/delivery losses. This paper established a novel proactive maintenance framework, which arranges two dimensions of control limits to control maintenance frequencies: (a) operational age and (b) consumption severity to guide repair and spare part replacement. The energy consumption process is structured by a Semi-Markov chain. The asset is preventively replaced upon a certain operational age, or when the unit time energy consumption reaches a pre-specified threshold, given that the time to scheduled age-based replacement is greater than a threshold. The maintenance optimization model is formulated, followed by an in-depth exploration of its analytical structures. The superior performance of the proposed framework over conventional maintenance policies is demonstrated by a numerical experiment on high-voltage power cables.