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6-2 美國(guó)加州大學(xué)伯克利分校申作軍教授應(yīng)邀管理與經(jīng)濟(jì)學(xué)院作學(xué)術(shù)報(bào)告

題  目:Infrastructure Design for Electric Vehicles

主講人:申作軍教授 美國(guó)加州大學(xué)伯克利分校

時(shí)  間:2011年6月2日 下午2:00

地  點(diǎn):主樓216會(huì)議室

主講人簡(jiǎn)介:
  Zuo-jun(Max)Shen,美國(guó)西北大學(xué)工業(yè)工程與管理科學(xué)博士,現(xiàn)任美國(guó)加州大學(xué)伯克利分校工業(yè)工程與運(yùn)籌學(xué)系教授。主要從事集成供應(yīng)鏈設(shè)計(jì)與管理、優(yōu)化算法的設(shè)計(jì)、分析決策等方面的研究工作。主持并參與多項(xiàng)美國(guó)國(guó)家自然科學(xué)基金項(xiàng)目,曾獲2003年度美國(guó)國(guó)家自然科學(xué)基金CAREER Award、2008年度美國(guó)INFORMS協(xié)會(huì)Chuck ReVelle Rising Star Award等獎(jiǎng)勵(lì),出版了多部專(zhuān)著,并在《Operations Research》、 《Management Science》等 國(guó)際頂級(jí)學(xué)術(shù)期刊上發(fā)表論文30余篇?,F(xiàn)任美國(guó)INFORMS協(xié)會(huì)多個(gè)分會(huì)的主席或委員,《Operations Research》、《Naval Research Logistics》 和《Journal of Flexible Services and Manufacturing》副主編,《Production and Operations Management》 和《International Journal of Inventory Research》編委。

內(nèi)容簡(jiǎn)介:
  The talk will discuss an infrastructure design problem for electric vehicles (EVs). A key obstacle to infrastructure planning for EVs comes from the long recharging time that makes it difficult to "refuel" the vehicle in the middle of a long trip. To address this problem, some have advocated that an EV infrastructure network should include swapping stations, at which EVs may exchange their empty batteries for full ones in the middle of long trips, in addition to charging adaptors at homes, work places and shopping malls. This solution allows EVs to be effectively "refueled" in only 1-2 minutes instead of hours. Since the adoption rate of electric vehicles, and thus demand for swapping service, is still highly uncertain, we model the swapping station network design problem within a robust optimization framework. The objective is to minimize the cost of servicing customers while maintaining a certain service requirements. We demonstrate how to tightly bound this integrated network design problem by a mixed-integer second-order cone programming problem. Finally, we discuss some computational results using data from the San Francisco Bay Area freeway network.

(承辦:技術(shù)經(jīng)濟(jì)與管理系)

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