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分類:導(dǎo)師信息 來源:西南交通大學(xué) 2020-01-12 相關(guān)院校:西南交通大學(xué)
西南交通大學(xué)經(jīng)濟管理學(xué)院研究生導(dǎo)師郭秀萍介紹如下:
姓 名
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郭秀萍
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系別
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信息系統(tǒng)與運營管理系
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職務(wù)/職稱
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副教授,博導(dǎo)
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研究方向
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智慧物流,供應(yīng)鏈管理,調(diào)度優(yōu)化,可持續(xù)運營管理,智能算法
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學(xué)歷
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博士
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政治面貌
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黨員
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辦公電話
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電子郵箱
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guoxiuping0029@sina.com或gxp@home.swjtu.edu.cn
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教育背景:
2007年畢業(yè)于上海交通大學(xué),獲工學(xué)博士學(xué)位。
社會活動及兼職:
國際生產(chǎn)與運作管理學(xué)會(Production and Operations Management Society, POMS)成員, 國際期刊International Journal of Production Research 、International Journal of Operations Research and Information Systems等的審稿專家
個人介紹:
一、工作經(jīng)歷:
2007.07~至今:西南交通大學(xué)經(jīng)濟管理學(xué)院管理科學(xué)與工程系副教授。
2006.6~2007.6: 美國Intel公司(上海)供應(yīng)鏈優(yōu)化解決方案工程部研究員 。
2015.1~2016.1: 美國休斯頓大學(xué)工業(yè)工程系訪問學(xué)者(國家留學(xué)基金委資助)。
2017.12~2018.3: 美國夏威夷大學(xué)商學(xué)院訪問學(xué)者(國家留學(xué)基金委資助)。
主持2項國家自然科學(xué)基金項目,主研5項國家自然科學(xué)基金項目、1項教育部創(chuàng)新團(tuán)隊項目、1項美國Intel公司高校合作項目、上海寶鋼高校合作等各類科研課題10余項。
二、科學(xué)研究:
(一)文獻(xiàn)及獲獎情況概述
近年一直立足管理科學(xué)、智能制造、智慧物流和信息科學(xué)多學(xué)科相交叉,相關(guān)成果在國際國內(nèi)知名學(xué)術(shù)期刊發(fā)表論文30余篇。
(二)代表專著及論文
期刊類:
[1]Shuwei Wang,Xiuping Guo, An efficient hybrid artificial bee colony algorithm for disassembly line balancing problem with sequence-dependent part removal times, Engineering Optimization, 1(1):1-19,2019.
[2]Xiaofei Zhao,Xiuping Guo, An effective chemical reaction optimization for cyclic multi-type parts robotic cell scheduling problem with blocking, Journal of Intelligent & Fuzzy Systems, 2018, 35(3):3567-3579.
[3]D.L. Lei,Y.L. Zheng, X.P. Guo, A shuffled frog leaping algorithm for flexible job shop scheduling with the consideration of energy consumption, International Journal of Production Research, 55(11): 3126-3140, 2017.
[4]D.M. Lei, X.P. Guo, Variable neighborhood seaarch for the second type of two-sided assembly line balancing problem, Computers and Operations Research, 72(C) :183-188, 2016.
[5]D.M. Lei, X.P. Guo, Hybrid flow shop scheduling with not-all-machines options via local search with controlled deterioration, Computers and Operations Research, 65(C): 76-82, 2016.
[6]D.M. Lei, X.P. Guo, A parallel neighborhood search for order acceptance and scheduling in flow shop environments, International Journal of Production Economics, 165:12-18, 2015.
[7]D.M. Lei, X.P. Guo, An effective neighborhood search for scheduling in dual resource constrained interval job shop with environmental objective, International Journal of Production Economics, 159: 296-303, 2015.
[8]Xiuping Guo, Deming Lei, Bi-objective job shop scheduling with outsourcing options[J], International Journal of Production Research, 52(13), 3832–3841. 2014.
[9]Deming Lei,Xiuping Guo,Scheduling job shop with lot streaming and transportation through a modified artificial bee colony[J], International Journal of Production Research, 51(16), 4930–4941. 2013.
[10]Deming Lei, Xiuping Guo, Variable neighborhood search for minimizing tardiness objectives on flow shop with batch processing machines[J]. International Journal of Production Research, 49(2), 519-529. 2011.
[11]Deming Lei, Xiuping Guo, Swarm neighborhood based algorithm for fuzzy flexible job shop scheduling[J],International Journal of Production Research, 2012.
[12]Xiuping GUO,Genke YANG,Zhiming WU,Zhonghua HUANG,A Hybrid Fine-Tuned Multi-Objective Memetic Algorithm[J]. TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences, 2006,Vol.E89-A, No.3, pp.790-797.
[13]Xiuping Guo, Zhiming Wu and Genke Yang, A Hybrid Self-adjusted Memetic Algorithm for Multi-objective Optimization[J], Lecture Notes in Computer Science, 2005, Vol 3789, pp. 663 – 672.
[14]Guo Xiu Ping, Yang Gen Ke, and Wu Zhi Ming, A Hybrid Adaptive Multi-objective Memetic Algorithm for 0/1 Knapsack Problem[J], Lecture Notes in Computer Science, 2005, Vol 3809, pp. 176 – 185.
[15]郭秀萍; 肖欽心, 求解混流雙邊拆解線平衡多目標(biāo)問題的 變鄰域帝國競爭算法, 管理工程學(xué)報, 已錄用,2019年出版.
[16]王書偉,郭秀萍, 第Ⅱ類拆卸線平衡問題建模及優(yōu)化, 中國管理科學(xué),已錄用,2019年出版.
[17]肖欽心,郭秀萍,多類約束下的隨機混流U型拆卸線平衡排序問題優(yōu)化, 工業(yè)工程與管理,已錄用.
[18]王書偉,郭秀萍,一種自適應(yīng)人工蜂群算法求解U型順序相依拆卸線平衡問題, 運籌與管理, 28(3),2019.
[19]王書偉, 郭秀萍,雙邊拆卸線平衡問題優(yōu)化模型及算法研究, 工業(yè)工程與管理, 23(4),2018.
[20]王書偉, 郭秀萍,求解隨機拆卸線平衡問題的改進(jìn)人工蜂群算法, 工業(yè)工程與管理, 23(2),2018.
[21]趙曉飛,郭秀萍,求解阻塞混流生產(chǎn)機器人制造單元調(diào)度問題的分支定界算法, 計算機應(yīng)用, 38(7),2018.
[22]趙曉飛,郭秀萍,雙層束搜索算法優(yōu)化機器人制造單元調(diào)度問題, 計算機工程與應(yīng)用, 2018.
[23]趙曉飛,郭秀萍,求解機器人制造單元調(diào)度問題的化學(xué)反應(yīng)優(yōu)化算法, 運籌與管理, 35-40,2017.
[24]趙曉飛,郭秀萍,改進(jìn)的求解機器人制造單元調(diào)度問題的化學(xué)反應(yīng)優(yōu)化算法, 系統(tǒng)管理學(xué)報, 245-251,2017.
[25]谷新軍,郭秀萍,隨機混流U型拆卸線平衡排序問題多目標(biāo)進(jìn)化算法優(yōu)化, 運籌與管理, 52-61,2017.
[26]劉加利, 郭秀萍,存在產(chǎn)品互斥和車輛匹配的多中心開環(huán)VRP, 系統(tǒng)管理學(xué)報,2015.
[27]羅順根,郭秀萍,用改進(jìn)的MOEA/D算法求解微電網(wǎng)電力調(diào)度多目標(biāo)優(yōu)化問題, 系統(tǒng)科學(xué)與數(shù)學(xué),已錄用.
[28]郭秀萍,楊根科,吳智銘,一種混合自適應(yīng)多目標(biāo)Memetic算法, 控制與決策, 2006, Vol.21, No.11, pp.1234-1238.
[29]郭秀萍,楊根科,吳智銘,一種基于模擬退火的多目標(biāo)Memetic算法, 信息與控制,2007,vol.36, No.1, pp.29-32.
專著類:
[1] 雷德明,郭秀萍. 現(xiàn)代制造系統(tǒng)智能調(diào)度技術(shù)及其應(yīng)用[M]. 中國電力出版社,2010:66-177.
論文集:
[1]Guo xiuping, Liu huahua, A RKGA for a single batch processing machine with secondary resource constraints, POMS International Conference 2014.
[2]Lei Gao,Xiuping Guo, Minimizing earliness-tardiness time on a batch processing machine with dynamic job arrivals and uncommon due dates[C]. The 2nd International Conference on Computer and Management,2012.
[3]Hou zhengliang, Guo xiuping,A Variable Neighborhood Search Approach for Multiple Resources Constrained Parallel Machine Scheduling Problem[C],2012 IEEE International Conference on Industrial Engineering and Engineering Management, 2012.
[4]Zhengliang Hou, Xiuping Guo,Parallel Machine Scheduling with Resources Constraint and Sequence Dependent Setup Times, 2012 third international asia conference on industrial enginerring and management innovation, 2012.
[5]Xiuping GUO,A Variable Neighborhood Based Memetic Algorithm for Scheduling Single Batch Processing Machine with Non-identical Job Sizes[C]. IEEE International Conference on Management Science and Information Engineering, 2010: 327-330.
[6]Deming Lei, Xiuping Guo, Solving fuzzy flexible job shop scheduling problems using genetic algorithm[C]. International Conference on Machine Learning and Cybernetics, 2008: 1014-1019,.
[7] guo xiuping,xiao qinxin, Robust optimization for profit-oriented disassembly line balancing with uncertainty, International Conference on Management and Operations Research, Beijing, 2016.
[8] zhao xiaofei,Guo Xiuping, A GA based on two new heuristics for heterogeneous parts robotic cells scheduling problem, International Conference on Management and Operations Research, Beijing, 2016.
[9] Tainli Wang(#); Xiuping Guo; Meng Song; yunfeng peng(*), A Fuzzy Synthetic Evaluation Algorithm with Dynamic Weight for SDN, 2017 IEEE 2nd Information Technology,Networking,Electronic and Automation Control Conferenc, 2017,EI.
Working papers:
[1]Disassembly line balancing under uncertainty: Robust optimization models.(in review, IJPR)
[2]A Dynamic Programming Approach to a Bi-Objective Disassembly Line Balancing Problem.(in review,AOR)
[3]multi-objective optimization problem of the microgrid power dispatch using Improved Multi-objective Evolutionary Algorithm based on Decomposition.
[4]Research on logistics scheduling optimization problem with truck-drone joint delivery.
三、主持或參與科研項目:
[1] 電子廢棄物混流拆解線平衡排序多目標(biāo)優(yōu)化模型與方法研究,國家自然科學(xué)基金項目,2015.01~2018.12,58萬,負(fù)責(zé)人, 71471151
[2] 生產(chǎn)調(diào)度和服務(wù)運作調(diào)度優(yōu)化的關(guān)鍵理論與技術(shù)研究,教育部“新世紀(jì)優(yōu)秀人才支持計劃”,2011.1-2013.12,負(fù)責(zé)人.
[3] 產(chǎn)能約束下集成電路芯片多階段測試系統(tǒng)優(yōu)化調(diào)度的模型與方法研究,國家自然科學(xué)基金項目,2010.01~2012.12,17.2萬,負(fù)責(zé)人,70901064
[4] 行為決策理論及其在災(zāi)害管理中的應(yīng)用研究, 教育部創(chuàng)新團(tuán)隊項目, 2009.01~2011.12,150萬,主研人,IRT0860
[5] 網(wǎng)絡(luò)環(huán)境下服務(wù)參與者行為和服務(wù)策略專題研究,國家自然科學(xué)基金重大項目課題,2011.01~2014.12,200萬,主研人,71090402
[6] 復(fù)雜切換流網(wǎng)絡(luò)的混合系統(tǒng)控制方法,國家自然科學(xué)基金項目,2002.01~2004.12,24萬,主研人,60174009
[7] 半導(dǎo)體IC芯片制造過程的建模、運行分析和仿真,國家自然科學(xué)基金項目,2006.01~2008.12,24萬,主研人,60574049
[8] 機器生命周期狀態(tài)指標(biāo)變化下的制造問題的協(xié)調(diào)控制與優(yōu)化算法研究,國家自然科學(xué)基金項目,2006.01~2008.12,主研人,60574063
[9] 半導(dǎo)體供應(yīng)鏈生產(chǎn)計劃多目標(biāo)優(yōu)化,上海交大-Intel校企合作項目,2006.06~2007.06,16萬,技術(shù)負(fù)責(zé)人
[10] 煉鋼和軋制生產(chǎn)線的調(diào)度問題,上海寶鋼企業(yè)合作項目,2004.01~2004.09,15萬,主研人
[11] 西南交通大學(xué)“竢實之星”.2010
四、教學(xué)概況:
運籌學(xué),必修(本科)
生產(chǎn)與運作管理(本科)
管理科學(xué)基礎(chǔ)(本科)
企業(yè)管理學(xué)(本科)
配送與配送中心(本科)
系統(tǒng)仿真與決策(碩士)
決策與優(yōu)化研究前沿(博士)
運營管理(工商管理碩士,MBA)
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