基本信息
刘仕强
教授



研究方向
调度理论与运用, 管理科学与工业工程, 运筹学, 决策学,人工智能
?矿业管理优化, 交通管理优化, 医院管理优化, 机器调度优化
?库存管理, 供应链优化，物流优化
?网络建模, 数学建模, 线性规划, 整数规划, 启发式优化算法
?大数据下的预测和决策，决策软件的开发

讲授课程
调度问题，模型和算法; 经典优化问题的数学建模；

联系方式
电子邮箱：samsqliu@fzu.edu.cn



个人简介
刘仕强，2017年9月起任福州大学经济与管理学院“闽江学者”特聘教授。2016年11月至2017年7月，是西南交通大学交通与运输学院的特聘教授。曾在海外求学和工作近18年。2011-2016期间，担任产学研相结合的澳大利亚国立矿业优化研究所(CRC ORE: Australian Government’s Cooperative Research Centre for Optimising Resource Extraction)的高级研究员和首席研究员，主研澳大利亚国立矿业研究所 (CRC ORE) 联和必和必拓 (BHP Billiton: 全球第一大矿业公司) 的两个国家级科研项目: “矿业项目的综合决策优化和风险评估”和“研发先进的矿业调度方法”。2009-2011期间，在澳大利亚布里斯班的昆士兰科技大学（QUT: Queensland University of Technology）数学学院运筹学统计学系担任博士后研究员和博士生研究助理，研发澳洲昆士兰铁路(Queensland Rail)调度决策优化软件和研发煤矿供应链调度决策系统。2005年10月获得昆士兰科技大学的校长特优奖学金到澳洲攻读博士学位。2009年2月被正式授予澳大利亚昆士兰科技大学数学学院的运筹学博士，其博士论文提名最优博士论文奖。在澳期间，由于他的学术贡献，获得过澳大利亚矿业优化研究所的最佳科技论文奖，澳大利亚运筹学协会授予的杰出青年科学家奖章，科学工程院院长颁发的学术优秀奖等。2000-2005期间，在新加坡学习工作近5年。2000年获得新加坡国立大学的研究学者奖学金（Research Scholarship），2002年获得新加坡国立大学的工业系统工程专业硕士学位，之后在新加坡担任过自动化设备公司的设计工程师和南洋理工大学的国立淡马锡实验室的软件工程师。1993-1999年期间，在哈尔滨工业大学获得两个学士学位和一个硕士学位。在学术方面，目前已发表论文50余篇，其中SCI收录近30篇，大多数为一作论文并发表在运筹学领域的权威期刊，包括Transportation Science等。在项目方面, 近期以主持人获得国家自科面上项目“矿业生产调度优化方法研究”(基金号: **)，以第二参与人获得国家自科面上项目“多代理混合车间调度模型与算法”(基金号： **)和国家社科面上项目“基于时隙的航空公司不正常航班协同恢复理论与方法研究”(基金号: 18BGL003)。

学习经历
10/2005 – 02/2009运筹学博士 (昆士兰理工大学校长的最优全额奖学金)
决策科学系, 数学学院, 昆士兰理工大学 (QUT), 布里斯本市, 澳大利亚
博士论文: “复杂铁路调度问题的建模和求解”, 提名2008年的全校最佳博士论文.
07/2000 – 08/2002工业与系统工程硕士 (新加坡国立大学全额学者奖学金)
工业与系统工程系, 新加坡国立大学 (NUS), 新加坡
硕士论文: “机器调度问题的启发式算法”.
09/1997 – 07/1999工程硕士 (以院第二名通过全国研究生考试)
能源科学和工程学院, 哈尔滨工业大学 (HIT), 哈尔滨市, 中国
硕士论文: “有限时间热力学和能源系统的优化分析方法”
09/1993 – 07/1997工程学士
动力工程系, 哈尔滨工业大学, 哈尔滨市, 中国
09/1994 – 06/1998经济学学士（第二学位）
经济系, 哈尔滨工业大学, 哈尔滨市, 中国

工作经历
9/2017 – 至今：闽江学者特聘教授，博士生导师，复杂系统优化与管理创新团队负责人，经济与管理学院，福州大学，福州市，福建省，中国
11/2016 – 7/2017：特聘教授, 交通与运输学院，西南交通大学，成都市，四川省，中国
06/2011 – 10/2016：高级研究员, 主研澳大利亚矿业研究所 (CRC ORE) 联和必和必拓 (BHP Billiton: 全球第一大矿业公司) 的两个国家级科研项目: “矿业项目的综合决策优化和风险评估”和“研发先进的矿业调度方法”, 布里斯本市, 澳大利亚
03/2009 – 06/2011：博士后研究员, 从事澳大利亚科学院的国家级横向项目 (ARC Linkage Project): “动态铁路调度问题”, 研发专家级铁路调度决策优化软件和研发煤矿供应链调度决策系统, 决策科学系, 数学学院, 昆士兰理工大学, 布里斯本市, 澳大利亚
10/2005 – 2/2009: 助理研究员及博士生, 铁路调度和优化算法研究, 参与优化澳洲的运煤铁路网络的研究, 兼职大学运筹学课程的辅导教师, 决策科学系, 数学学院, 昆士兰理工大学, 布里斯本市, 澳大利亚
06/2004 – 04/2005: 软件工程师, 人工智能和仿真算法研究, 软件设计开发, 淡马锡实验室, 南洋理工大学, 新加坡
10/2002 – 05/2004: 设计工程师/技术主管, 自动化设备研发, 设计和安装, WEW自动化公司, 新加坡
07/2000 – 08/2002: 研究员/研究型硕士, 学习运筹学, 决策科学, 物流学, 统计学, 优化算法，品质管理学等, 机器调度和优化算法研究, 工业与系统工程系, 新加坡国立大学, 新加坡
09/1997 – 05/2000: 助教/研究型硕士, 能源科学和工程学院, 哈尔滨工业大学, 哈尔滨市, 中国, 从事能源系统的优化分析方法研究和兼职大学助教

科研项目
?国家自然科学面上项目，“矿业生产调度优化方法研究”，**，2019-2022，48万，主持人
?国家自然科学面上项目，“多代理混合车间调度模型与算法”，**，2019-2022，55万，第二参与人
?国家社会科学面上项目，“基于时隙的航空公司不正常航班协同恢复理论与方法研究” 18BGL003，2019-2022，20万，第二参与人
?复杂系统优化与管理创新团队基金（一般），2018-2021，60万，团队负责人
?复杂系统优化与管理科研启动基金，2017-2020，50万，主持人
?澳大利亚矿业研究所 (CRC ORE) 联和必和必拓 (BHP Billiton: 全球第一大矿业公司) 的两个国家级科研项目: “矿业项目的综合决策优化和风险评估”和“研发先进的矿业调度方法”, 2011-2016, 65万澳元，主研
?澳大利亚科学院的国家级横向项目 (ARC Linkage Project): “动态铁路调度问题”, 研发专家级铁路调度决策优化软件和研发煤矿供应链调度决策系统，2009-2011，20万澳元，主研

获奖经历
?矿业研究所年度大会最佳科技论文奖（一年1个）, 澳大利亚, 2011
?科学工程院院长颁发的学术优秀奖(一年2个), 昆士兰理工大学, 澳大利亚, 2010
?澳大利亚运筹学学会杰出青年科学家奖章（一年1个）, 澳大利亚, 2009
?最佳博士论文奖提名, 昆士兰理工大学, 澳大利亚, 2008.
?校长颁发的最优全额博士奖学金（一年10个）, 昆士兰理工大学, 澳大利亚, 2005-2008
?全额助研博士奖学金, 德州大学奥斯丁分校, 美国, 2004
?全额助研硕士奖学金, 工业与系统工程系, 新加坡国立大学, 新加坡, 2000-2002

近年发表的主要论文
一作论文：
1.Liu, S.Q., Kozan, E., Masoud, M., Zhang, Y., Chan, F.T.S. (2018). Job shop scheduling with a combination of four buffering constraints. International Journal of Production Research. 56(9), 3274-3293. doi: 10.1080/**.2017.**. (SCI-1 journal, IF: 2.623; 11 citations)
2.Liu, S.Q., & Kozan, E. (2019). Integration of mathematical models for ore mining industry. International Journal of Systems Science: Operations & Logistics. 6(1), 55-68. (4 citations)
3.Liu, S.Q., & Kozan, E. (2017). A hybrid metaheuristic algorithm to optimise a real-world robotic cell. Computers & Operations Research, 84, 188-194. doi: 10.1016/j.cor.2016.09.011. (SCI-1 journal; five-year IF: 3.433; 17 citations)
4.Liu, S.Q., & Kozan, E. (2016). New graph-based algorithms to efficiently solve large scale open pit mining optimisation problems. Expert Systems with Applications, 43, 59-65. doi:10.1016/j.eswa.2015.08.044. (SCI-1 journal; five-year IF: 4.577; 27 citations)
5.Liu, S.Q., & Kozan, E. (2016). Parallel-identical-machine job-shop scheduling with different stage-dependent buffering requirements. Computers & Operations Research, 74, 31-41. doi: 10.1016/j.cor.2016.04.023. (SCI-1 journal; five-year IF: 3.433; 20 citations)
6.Liu, S.Q., & Kozan, E. (2012). A hybrid shifting bottleneck procedure algorithm for the parallel-machine job-shop scheduling problem. Journal of the Operational Research Society, 63, 168–182. doi:10.1057/jors.2011.4. (SCI-2 journal; published for over 65 years; IF: 1.225; 34 citations)
7.Liu, S.Q., & Kozan, E. (2012). An interactive planning and scheduling framework for optimising pits-to-crushers operations. Industrial Engineering and Management Systems, 11(1), 94–102. doi:10.7232/iems.2012.11.1.094. (An OR journal in Korea; IF: 0.27; 12 citations)
8.Liu, S.Q., & Kozan, E. (2011). Optimum utilisation of rolling stocks for iron ore mining industries. Advanced Materials Research, 361-363, 1529–1534. doi:10.4028/www.scientific.net/AMR.361-363.1529. (EI journal; 2 citations)
9.Liu, S.Q., & Kozan, E. (2011). Scheduling trains with priorities: A no-wait blocking parallel-machine job-shop scheduling model. Transportation Science, 45(2), 175–198. doi:10.1287/trsc.1100.0332. (SCI-1 journal; five-year IF: 4.581; 81 citations)
10.Liu, S.Q., & Kozan, E. (2011). Optimising a coal rail network under capacity constraints. Flexible Services and Manufacturing Journal, 23(2), 90–110. doi:10.1007/s10696-010-9069-9. (SCI-2 journal; IF: 2.346; 26 citations)
11.Liu, S.Q., & Kozan, E. (2009). Scheduling a flow shop with combined buffer conditions. International Journal of Production Economics, 117(2), 371–380. doi:10.1016/j.ijpe.2008.11.007. (SCI-1 journal; five-year IF: 5.631; 43 citations)
12.Liu, S.Q., & Kozan, E. (2009). Scheduling trains as a blocking parallel-machine job shop scheduling problem. Computers and Operations Research, 36(10), 2840–2852. doi:10.1016/j.cor.2008.12.012. (SCI-1 journal; IF: 3.433; 125 citations)
13.Liu, S.Q., Ong, H. L., & Ng, K. M. (2005). Metaheuristics for minimizing the makespan of the dynamic shop scheduling problem. Advances in Engineering Software, 36(3), 199–205. doi:10.1016/j.advengsoft.2004.10.002. (SCI-2 journal; IF: 4.251; 64 citations)
14.Liu, S.Q., Ong, H. L., & Ng, K. M. (2005). A fast tabu search algorithm for the group shop scheduling problem. Advances in Engineering Software, 36(8), 533–539. doi:10.1016/j.advengsoft.2005.02.002. (SCI-2 journal; IF: 4.251; 39 citations)
15.Liu, S.Q., & Ong, H. L. (2004). Metaheuristics for the mixed shop scheduling problem. Asia-Pacific Journal of Operational Research, 21(4), 97–115. (SCI-3 journal; IF: 0.820; 32 citations)
16.Liu, S.Q., & Ong, H. L. (2002). A comparative study of algorithms for the flowshop scheduling problem. Asia-Pacific Journal of Operational Research, 19, 205-222. doi:10.1017/CBO24.004. (SCI-3 journal; IF: 0.820; 33 citations)
17.Liu, S. Q., & Yang, Y. S. (2000). Cycle time and entropy generation of finite-time endoirreversible Carnot engine. Journal of Engineering for Thermal Energy and Power, 15(87), 232-234. (EI journal; 1 citation)
18.Liu, S.Q., & Yang, Y. S. (2000). Triple optimal analytical method used in energy systems considering ecological effect. Journal of Engineering for Thermal Energy and Power, 15(86), 98-99. (EI journal)
实际一作论文：
19.Kozan, E., & Liu, S.Q.# (2012). A demand-responsive decision support system for coal transportation. Decision Support Systems, 54(1), 665–680. doi:10.1016/j.dss.2012.08.012. (SCI-1 journal; IF: 4.903; 36 citations)
20.Kozan, E. & Liu, S.Q.# (2017). An operational-level multi-stage mine production timetabling model for optimally synchronising drilling, blasting and excavating operations. International Journal of Mining, Reclamation and Environment, 31(7), 457-474. (SCI-3 journal; IF: 1.258; 10 citations)
21.Kozan, E., & Liu, S.Q.# (2017). A new open-pit multi-stage mine production timetabling model for drilling, blasting and excavating operations. Mining Technology. 125(1), 47-53. doi:10.1179/Y.. (EI journal of Taylor Francis; 17 citations).
22.Kozan, E., & Liu, S.Q.# (2011). Operations research for mining?: A classification and literature review. ASOR Bulletin, 30, 2–23. (An OR journal in Australia; 11 citations)
23.Yang, Y. S., & Liu, S.Q.# (2000). Finite-time endoirreversible Carnot engine’s irreversible factor. Journal of Engineering for Thermal Energy and Power, 15(86), 107-109. (EI journal; 7 citations)
通讯作者论文：
24.Li W., Xi Y., Wu F., Masoud M., Liu S.Q.* (2019) Green development performance of water resources and its economic-related determinants. Journal of Cleaner Production. doi:10.1016/j.jclepro.2019.118048.
25.Luan F., Cai Z., Wu S., Liu S.Q.*, He Y. (2019) Optimizing the low-carbon flexible job shop scheduling problem with discrete whale optimization algorithm. Mathematics. doi: 10.3390/math**.
26.Yan P., Liu S.Q.*, Yang C., Masoud M. (2019). A comparative study on three graph-based construction algorithms for multi-stage scheduling with blocking. Journal of Industrial and Management Optimization, 15 (1), 221-233. doi:10.3934/jimo.**. In press. (SCI-4 journal; IF: 1.181; 4 citations)
27.Yan P., Liu S.Q.*, Sun T., Ma K. (2018). A dynamic scheduling approach for optimizing the material handling operations in a robotic cell. Computers & Operations Research, 99, 166-177. doi: 10.1016/j.cor.2018.05.009. (SCI-1 journal; IF: 3.433; 4 citations)
实际指导论文：
28.Masoud, M., Kozan, E., Kent, G. Liu, S.Q. (2017). A new constraint programming approach for optimising a coal rail system. Optimization Letters, 11(4), 725-738. doi:10.1007/s11590-016-1041-5. (SCI 2 Journal; IF: 1.310; 9 citations).
29.Masoud, M., Kozan, E., Kent, G. Liu, S.Q. (2016). Experimental dataset for optimising the freight rail operations, Data in Brief. 9, 452-500. doi: 10.1016/j.dib.2016.09.015.
30.Masoud, M., Kozan, E., Kent, G. Liu, S.Q. (2016). An integrated approach to optimise cane rail operations. Computers & Industrial Engineering. 98, 211-220. (SCI-2 Journal; IF:3.442; 14 citations)
31.Masoud, M., Kent G., Kozan E., Liu. S.Q. (2016). A new multi-objective model to optimise rail transport scheduler. Journal of Transportation Technologies, 6, 86–98. (10 citations)
32.Mousavi, A., Kozan, E., Liu, S.Q. (2016). Open pit block sequencing optimisation: a mathematical model and solution technique. Engineering Optimization, 48(11), 1932-1950. doi: 10.1080/**X.2016.**. (SCI-3 journal; IF: 1.622; 14 citations)
33.Mousavi, A., Kozan, E., Liu, S.Q. (2016). Comparative analysis of three metaheuristics for short-term open pit block sequencing. Journal of Heuristics, 22(3), 301-329. doi:10.1007/s10732-016-9311-z. (SCI-2 journal; IF: 1.129; 4 citations).
论著
34.Kozan E. & Liu S.Q. (2018) An Open-Pit Multi-Stage Mine Production Scheduling Model for Drilling, Blasting and Excavating Operations. In: Dimitrakopoulos R. (eds) Advances in Applied Strategic Mine Planning. Springer, Cham. doi: https://doi.org/10.1007/978-3-319-69320-0_38. (2 citations)
35.Mousavi, A., Kozan, E., Liu, S.Q. (2014). Book Chapter 5: Integrated approach to optimize open-pit mine block sequencing. In B. Bidanda, I. Sabuncuoglu, & B. Y. Kara (Eds.), Industrial Engineering Non-Traditional Applications in International Settings (pp. 83–98). CRC Press, USA. (8 citations)
合作论文：
36.Li W., Wang J., Chen R., Xi Y., Liu S.Q., Wu F., Masoud M., Wu X. (2019) Innovation-driven industrial green development: The moderating role of regional factors. Journal of Cleaner Production, 222, 344–354. (SCI-1 journal; IF: 7.051; 4 citations)
37.Matindi, R., Hobson, P., Masoud, M., Kent, G., Liu, S.Q. (2019). Developing a versatile simulation, scheduling and economic model framework for bioenergy production systems. International Journal of Industrial Engineering Computations, 10, 17-36. doi: 10.5267/j.ijiec.2018.5.003.
38.Allihaibi W., Masoud M., Cholette M., Liu S.Q., Burke J. (2018). A new mathematical approach to optimise an emergency department. Mathematics and Computers in Simulation, Accepted. (SCI-3 journal; IF:1.308)
39.Matindi R., Masoud M., Hobson P., Kent G., Liu S.Q. (2018). Harvesting and transport operations to optimise biomass supply chain and industrial biorefinery processes. International Journal of Industrial Engineering Computations, 9, 265-288. doi: 10.5267/j.ijiec.2017.9.001.
40.Yan P., Che, A., Levner E., Liu S.Q. (2018). A heuristic for inserting randomly arriving jobs into an existing hoist schedule. IEEE Transactions on Automation Science and Engineering. 15(3), 1423-1430. doi: 10.1109/TASE.2017.**. (SCI-1 journal; IF: 3.502; 5 citations)
会议论文：
41.Liu S.Q.*, D’Ariano A., Kozan E., Masoud M., Chung S.H., (2019) A classification and literature survey on aviation management A classification and literature survey on aviation management. 8th Int. Conf. Ind. Eng. Syst. Manag. Shanghai, China.
42.Zhang Q., Liu S.Q.*, Masound M. (2019) User equilibrium and system optimum with incomplete information in traffic congestion. 8th Int. Conf. Ind. Eng. Syst. Manag. Shanghai, China.
43.Masoud M., Khalifa H.A., Liu S.Q.*, Elhenawy M., Wu P. (2019) A fuzzy goal programming approach for solving fuzzy multi-objective stochastic linear programming problem. 8th Int. Conf. Ind. Eng. Syst. Manag. Shanghai, China.
44.Allihaibi W., Masoud M., Cholette M., Burke J., Karim A., Liu S.Q. (2017) Optimising the service of emergency department in a hospital. 22nd International Congress on Modelling and Simulation (MODSIM 2017), Hobart, Tasmania, Australia, 1255–1261.
45.Kozan, E., & Liu, S.Q. # (2014). An open pit multistage mine production scheduling model for drilling, blasting and excavating operations. In J. Whittle & R. Dimitrakopoulos (Eds.), Orebody Modelling and Strategic Mine Planning Conference 2014. Perth, Australia.
46.Mousavi, A., Kozan, E., & Liu, S.Q. (2013). Revolutionising open-pit mine block sequencing. In CRC ORE Annual Assembly 2013. Brisbane, Australia.
47.Kozan, E., Liu, S.Q. #, & Wolff, R. (2013). A short-term production scheduling methodology for open-pit mines. In International Symposium on the 36th Applications of Computers and Operations Research in the Mineral Industry (the 36th APCOM) (pp. 465–473). Brazil.
48.Liu, S.Q., & Kozan, E. (2013). An open-pit mine production scheduling methodology. In ASOR Conference 2013. Melbourne, Australia.
49.Mousavi, A., Kozan, E., & Liu, S.Q. (2013). Open-pit mine optimisation. In The 26th European Conference on Operational Research. Rome, Italy.
50.Mousavi, A., Kozan, E., & Liu, S.Q. (2013). An integrated approach to optimise open-pit mine block sequencing. In Proceeding of International IIE. Istanbul, Turkey.
51.Liu, S.Q., & Kozan, E. (2012). Applying the lot-streaming scheduling methodology to mining industry. In CRC ORE Annual Assembly 2012. Brisbane, Australia.
52.Kozan, E., & Liu, S.Q. (2011). A multi-resource multi-stage open-pit mine production scheduling methodology. In CRC ORE Annual Assembly 2011. Brisbane, Australia (Best Technical Paper Award).
53.Liu, S.Q., & Kozan, E. (2009). A new methodology for optimising a coal rail network under capacity constraints: a real-world case study. In ASOR National Conference 2009. Gold Coast, Australia.
54.Liu, S.Q., & Kozan, E. (2007). A blocking parallel-machine job-shop-scheduling model for the train scheduling problem. In the Eighth Asia–Pacific Industrial Engineering and Management Systems Conference (pp. 10.1–10.10). Kaohsiung, Taiwan.

出版著作
Kozan E. & Liu S.Q. (2018) An Open-Pit Multi-Stage Mine Production Scheduling Model for Drilling, Blasting and Excavating Operations. In: Dimitrakopoulos R. (eds) Advances in Applied Strategic Mine Planning. Springer, Cham. doi: https://doi.org/10.1007/978-3-319-69320-0_38. (2 citations)
Mousavi, A., Kozan, E., Liu, S.Q. (2014). Book Chapter 5: Integrated approach to optimize open-pit mine block sequencing. In B. Bidanda, I. Sabuncuoglu, & B. Y. Kara (Eds.), Industrial Engineering Non-Traditional Applications in International Settings (pp. 83–98). CRC Press, USA. (8 citations)