西南交通大學(xué)經(jīng)濟(jì)管理學(xué)院研究生導(dǎo)師：郭秀萍

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西南交通大學(xué)經(jīng)濟(jì)管理學(xué)院研究生導(dǎo)師郭秀萍介紹如下：

姓 名	郭秀萍	系別	信息系統(tǒng)與運(yùn)營(yíng)管理系
職務(wù)/職稱	副教授，博導(dǎo)	研究方向	智慧物流，供應(yīng)鏈管理，調(diào)度優(yōu)化，可持續(xù)運(yùn)營(yíng)管理，智能算法
學(xué)歷	博士	政治面貌	黨員
辦公電話	電子郵箱	guoxiuping0029@sina.com或gxp@home.swjtu.edu.cn

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(huì)活動(dòng)及兼職：

國(guó)際生產(chǎn)與運(yùn)作管理學(xué)會(huì)(Production and Operations Management Society, POMS)成員, 國(guó)際期刊International Journal of Production Research 、International Journal of Operations Research and Information Systems等的審稿專家

個(gè)人介紹：

一、工作經(jīng)歷:

2007.07~至今：西南交通大學(xué)經(jīng)濟(jì)管理學(xué)院管理科學(xué)與工程系副教授。

2006.6~2007.6: 美國(guó)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(guó)休斯頓大學(xué)工業(yè)工程系訪問(wèn)學(xué)者（國(guó)家留學(xué)基金委資助）。

2017.12~2018.3: 美國(guó)夏威夷大學(xué)商學(xué)院訪問(wèn)學(xué)者（國(guó)家留學(xué)基金委資助）。

主持2項(xiàng)國(guó)家自然科學(xué)基金項(xiàng)目，主研5項(xiàng)國(guó)家自然科學(xué)基金項(xiàng)目、1項(xiàng)教育部創(chuàng)新團(tuán)隊(duì)項(xiàng)目、1項(xiàng)美國(guó)Intel公司高校合作項(xiàng)目、上海寶鋼高校合作等各類科研課題10余項(xiàng)。

二、科學(xué)研究：

（一）文獻(xiàn)及獲獎(jiǎng)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(guó)際國(guó)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(wèn)題的 變鄰域帝國(guó)競(jìng)爭(zhēng)算法, 管理工程學(xué)報(bào), 已錄用，2019年出版.

[16]王書偉，郭秀萍, 第Ⅱ類拆卸線平衡問(wèn)題建模及優(yōu)化, 中國(guó)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(jī)混流U型拆卸線平衡排序問(wèn)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(wèn)題, 運(yùn)籌與管理, 28(3),2019.

[19]王書偉, 郭秀萍,雙邊拆卸線平衡問(wèn)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(jī)拆卸線平衡問(wèn)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(jī)器人制造單元調(diào)度問(wèn)題的分支定界算法, 計(jì)算機(jī)應(yīng)用, 38(7),2018.

[22]趙曉飛,郭秀萍,雙層束搜索算法優(yōu)化機(jī)器人制造單元調(diào)度問(wèn)題, 計(jì)算機(jī)工程與應(yīng)用, 2018.

[23]趙曉飛,郭秀萍,求解機(jī)器人制造單元調(diào)度問(wèn)題的化學(xué)反應(yīng)優(yōu)化算法, 運(yùn)籌與管理, 35-40,2017.

[24]趙曉飛,郭秀萍,改進(jìn)的求解機(jī)器人制造單元調(diào)度問(wèn)題的化學(xué)反應(yīng)優(yōu)化算法, 系統(tǒng)管理學(xué)報(bào), 245-251,2017.

[25]谷新軍,郭秀萍,隨機(jī)混流U型拆卸線平衡排序問(wèn)題多目標(biāo)進(jìn)化算法優(yōu)化, 運(yùn)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(kāi)環(huán)VRP, 系統(tǒng)管理學(xué)報(bào)，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(wèn)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(guó)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(xiàng)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(guó)家自然科學(xué)基金項(xiàng)目，2015.01~2018.12，58萬(wàn)，負(fù)責(zé)人, 71471151

[2] 生產(chǎn)調(diào)度和服務(wù)運(yùn)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(jì)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(cè)試系統(tǒng)優(yōu)化調(diào)度的模型與方法研究，國(guó)家自然科學(xué)基金項(xiàng)目，2010.01~2012.12，17.2萬(wàn)，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(duì)項(xiàng)目, 2009.01~2011.12,150萬(wàn)，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(guó)家自然科學(xué)基金重大項(xiàng)目課題，2011.01~2014.12，200萬(wàn)，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(guó)家自然科學(xué)基金項(xiàng)目，2002.01~2004.12，24萬(wàn)，主研人，60174009

[7] 半導(dǎo)體IC芯片制造過(guò)程的建模、運(yùn)行分析和仿真，國(guó)家自然科學(xué)基金項(xiàng)目，2006.01~2008.12，24萬(wàn)，主研人，60574049

[8] 機(jī)器生命周期狀態(tài)指標(biāo)變化下的制造問(wèn)題的協(xié)調(diào)控制與優(yōu)化算法研究，國(guó)家自然科學(xué)基金項(xiàng)目，2006.01~2008.12，主研人，60574063

[9] 半導(dǎo)體供應(yīng)鏈生產(chǎn)計(jì)劃多目標(biāo)優(yōu)化，上海交大-Intel校企合作項(xiàng)目，2006.06~2007.06，16萬(wàn)，技術(shù)負(fù)責(zé)人

[10] 煉鋼和軋制生產(chǎn)線的調(diào)度問(wèn)題，上海寶鋼企業(yè)合作項(xiàng)目，2004.01~2004.09，15萬(wàn)，主研人

[11] 西南交通大學(xué)“竢實(shí)之星”.2010

四、教學(xué)概況：

運(yùn)籌學(xué)，必修（本科）

生產(chǎn)與運(yùn)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(yùn)營(yíng)管理（工商管理碩士，MBA）