題 目：Reliable Facility Location Design Under Uncertain Correlated Disruptions
主講人：冉倫（管理科學(xué)與工程系）
時(shí) 間：2015年6月30日（星期二）中午12:00-13:00
地 點(diǎn)：主樓418會(huì)議室
主講人簡(jiǎn)介：
冉倫，男，偉德國(guó)際1946bv官網(wǎng)管理與經(jīng)濟(jì)學(xué)院管理科學(xué)與工程專業(yè)教授、博士生導(dǎo)師。偉德國(guó)際1946bv官網(wǎng)系統(tǒng)風(fēng)險(xiǎn)研究中心副主任，兼任國(guó)家自然科學(xué)基金委員會(huì)管理科學(xué)部流動(dòng)項(xiàng)目主任。2010年度入選教育部“新世紀(jì)優(yōu)秀人才支持計(jì)劃”，美國(guó)加州大學(xué)伯克利分校工業(yè)工程與運(yùn)籌學(xué)系訪問學(xué)者。主要從事數(shù)據(jù)驅(qū)動(dòng)的管理科學(xué)建模方法、物流與供應(yīng)鏈管理、醫(yī)療運(yùn)營(yíng)管理、收益管理等領(lǐng)域的研究。在國(guó)內(nèi)外重要學(xué)術(shù)刊物及會(huì)議上發(fā)表學(xué)術(shù)論文30余篇，其中被SCI和EI收錄20余篇。獲得國(guó)防科技進(jìn)步三等獎(jiǎng)1項(xiàng)。主持教育部新世紀(jì)優(yōu)秀人才支持計(jì)劃1項(xiàng)、國(guó)家自然科學(xué)基金2項(xiàng)、北京市自然科學(xué)基金1項(xiàng)，國(guó)家郵政局、中國(guó)華油集團(tuán)公司等政府及企業(yè)委托項(xiàng)目十余項(xiàng)。入選首屆“偉德國(guó)際1946bv官網(wǎng)優(yōu)秀青年教師資助計(jì)劃”及“二次擇優(yōu)資助”，獲得北京市第八屆、第九屆青年優(yōu)秀科技論文二等獎(jiǎng)。擔(dān)任國(guó)家自然科學(xué)基金、航空基金、教育部人文社科基金、中國(guó)博士后基金等項(xiàng)目的評(píng)審專家。目前，擔(dān)任北京系統(tǒng)工程學(xué)會(huì)理事，中國(guó)系統(tǒng)工程學(xué)會(huì)青年工作委員會(huì)委員，國(guó)家核應(yīng)急響應(yīng)技術(shù)支持中心專家委員會(huì)委員，Asia-Pacific Journal of Operational Research（SCI期刊）副主編，多個(gè)國(guó)內(nèi)外學(xué)術(shù)期刊審稿人。
內(nèi)容簡(jiǎn)介：
Most previous studies on reliable facility location design assume that disruptions at different locations are independent. In this paper, we present a model that allows disruptions to be correlated with an uncertain joint distribution, and we apply distributionally robust optimization to minimize the expected cost under the worst-case distribution with given marginal disruption probabilities. The worst-case distribution has a practical interpretation with disruption propagation, and its sparse structure allows solving the problem efficiently. Our numerical results show that ignoring disruption correlation could lead to significant loss that increases dramatically in key factors such as source disaster probability, disruption propagation effect, and service interruption penalty. On the other hand, the robust model results in very low regret, even when disruptions are independent, and starts to outperform the model assuming independence when disruptions are mildly correlated. Most of the benefit of the robust model can be captured with a very low additional cost, which makes it easy to implement. Given these advantages, we believe that the robust model can serve as a promising alternative approach for solving reliable facility location problems.
（承辦： 管理科學(xué)與工程系 、科研與學(xué)術(shù)交流中心）
