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【明理講堂2021年第29期】5-21北京工業(yè)大學(xué)彭銳校聘教授:A two-dimensional maintenance optimization framework balancing hazard risk and energy consumption rates

時(shí)間:5月21日(星期六)上午10:30-12:00

騰訊會(huì)議號(hào):911 987 113

報(bào)告人:北京工業(yè)大學(xué) 彭銳 校聘教授

主講人簡(jiǎn)介:

彭銳:博士,北京工業(yè)大學(xué)經(jīng)濟(jì)與偉德國(guó)際1946bv官網(wǎng)校聘教授,博士生導(dǎo)師。2007年7月畢業(yè)于中國(guó)科學(xué)技術(shù)大學(xué)少年班,獲學(xué)士學(xué)位;2011年10月畢業(yè)于新加坡國(guó)立大學(xué),獲得博士學(xué)位。2012年1月進(jìn)入北京科技大學(xué)東凌經(jīng)濟(jì)偉德國(guó)際1946bv官網(wǎng),2014年7月破格晉升為副教授, 2018年11月加入北京工業(yè)大學(xué)經(jīng)濟(jì)與偉德國(guó)際1946bv官網(wǎng),2020年1月評(píng)上博士生導(dǎo)師。主要研究領(lǐng)域?yàn)槟茉聪到y(tǒng)風(fēng)險(xiǎn)評(píng)估與政策優(yōu)化。已發(fā)表100多篇SCI期刊論文,5本專(zhuān)著,主持或參與8項(xiàng)國(guó)家自然科學(xué)基金或國(guó)家重點(diǎn)研發(fā)計(jì)劃,并主持北京市科技新星項(xiàng)目。Reliability Engineering & System Safety的編委,IEEE senior member,中國(guó)現(xiàn)場(chǎng)統(tǒng)計(jì)學(xué)會(huì)可靠性分會(huì)副秘書(shū)長(zhǎng),中國(guó)優(yōu)選法統(tǒng)籌法與經(jīng)濟(jì)數(shù)學(xué)研究會(huì)工業(yè)工程分會(huì)常務(wù)理事,中國(guó)運(yùn)籌學(xué)會(huì)可靠性分會(huì)常務(wù)理事,中國(guó)指揮與控制學(xué)會(huì)可靠性專(zhuān)委會(huì)常務(wù)理事。2018至2021連續(xù)四年入選Elsevier中國(guó)高被引學(xué)者。

報(bào)告內(nèi)容簡(jiǎn)介:

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.

(承辦:管理科學(xué)與物流系、科研與學(xué)術(shù)交流中心)

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