刘仕强

职称:教授

电子邮箱: samsqliu@fzu.edu.cn

18780047487

属性1 职称:教授 属性2 电子邮箱: samsqliu@fzu.edu.cn
属性3 18780047487 属性4
属性5 属性6

个人简介

个人简介

刘仕强,20179月起任福州大学经济与管理学院闽江学者特聘教授,复杂系统优化与管理创新团队负责人,博士生导师。201611月至20177月,是西南交通大学交通与运输学院的特聘教授。在项目方面,以主持人获得国家自然科学基金面上项目矿业生产调度优化方法研究”, 并参与多项国家自科和社科项目。在学术方面,目前已发表学术论文110多篇,其中SCI收录80多篇,大多数为一作论文并发表在运筹学管理学领域多个国际权威期刊,包括Transportation Science等。1993-1999年六年里,在哈尔滨工业大学获得两个学士学位(分别是动力工程和经济学专业)一个硕士学位工程热物理专业)。之后,在海外求学和工作近202000年获新加坡国立大学的全额学者奖学金(Researcher Scholarship)工业与系统工程系学习和研究;2002年获得新加坡国立大学工业与系统工程系的研究型工学硕士学位;2003-2005期间在新加坡任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(Temasek Lab)的软件工程师。2005年,获得澳大利亚昆士兰科技大学校长颁发的海外优秀博士生奖学金(Vice-Chancellor QIDS Scholarship Award)2005-2009期间,在澳大利亚布里斯班的昆士兰科技大学(Queensland University of Technology: QUT)数学学院运筹学统计学系为博士生和研究助理,专注铁路调度理论创新和应用。在QUT两年半完成博士论文的撰写,在2008年博士论文被提名全校最优论文奖2009-2011期间,在昆士兰科技大学任博士后研究员主研澳洲昆士兰铁路调度决策优化软件和昆士兰煤矿供应链调度决策系统。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(BHPB:全球第一大矿业公司)的两个国家级科研项目:“研发先进的矿业调度方法矿业项目的综合决策优化和风险评估。在澳期间,被授予澳大利亚国立矿业研究所的最佳科技论文奖,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。在中国期间,多次被提名申报国家级人才项目包括青年千人和青年长江。


学习经历

学习经历

10/2005 – 02/2009 博士, 运筹学和统计学系, 数学学院, 昆士兰科技大学(QUT), 布里斯本市, 澳大利亚

§ 获得昆士兰科技大学给优秀海外博士生的校长奖学金 (10/每年)

§ 博士论文题目: “复杂铁路调度问题的建模和求解

§ 在两年半内完成博士论文,并被外审专家提名最优秀博士论文奖

§ 发表6篇高水平期刊论文(TS, DSS, IJPE, COR, JORS, FSMJ)

§ 博士论文提名2008年的全校最优秀博士论文

§ 获得澳大利亚运筹学协会的青年科学家奖章 (1/每年)

§ 获得科学工程院院长颁发的学术优秀奖 (2/每年)

07/2000 – 08/2002 研究型硕士, 工业与系统工程系, 新加坡国立大学, 新加坡

§ 获得新加坡国立大学的全额奖学金 (1500 SGD/month)

§ 硕士论文题目:“机器调度问题的启发式算法

§ 发表四篇SCI国际期刊论文(APJOR, AiES)

09/1997 – 07/1999 工程硕士, 工程热物理专业, 能源科学和工程学院, 哈尔滨工业大学, 哈尔滨市, 中国

§ 以学院第二名成绩通过全国硕士研究生入学考试

§ 硕士论文题目: “有限时间热力学和能源系统的优化分析方法

§ 发表三篇EI索引中文期刊论文

§ 硕士毕业后获得三个重点大学(包括重庆大学)的讲师职位

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

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



研究方向

研究方向

§ 运筹学,管理学;复杂系统管理优化;组合优化问题;

§ 调度理论和运用;矿业设备调度;铁路交通调度;机器人调度;医院调度

§ 库存系统;供应链管理;网络流问题

§ 混合整数规划;ILOG-CPLEX数学建模

§ 算法开发;精确算法;元启发式算法

§ 机器学习;深度学习;强化学习

§ 博弈论;多属性决策;统计和预测;仿真和数字孪生

§ C++C#Python编程和软件开发


讲授课程

讲授课程

§ 调度问题,模型和算法

§ 经典优化问题的数学建模


科研项目

科研项目

§ 福州泰全工业有限公司海外专家工作站,2025-202615万,主持人

§ 福建省科技特派团服务重点产业链专项项目, 汽车配件产业链典型产品关键技术研发及产业化, 2024-2027100万,联合主持人

§ 横向项目“EPS永磁无刷马达生产调度优化及库存优化项目2024011803, 030024062024-202650万,主持人

§ 国家自然科学基金面上项目矿业生产调度优化方法研究718710642019-202248万,主持人

§ 国家社会科学基金一般项目,基于客户需求的家庭护理人员调度多目标优化与发展政策研究23BGL2962023-202730万,第一参与人

§ 国家自然科学面上项目多代理混合车间调度模型与算法618731732019-202255万,第一参与人

§ 国家社会科学一般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18BGL0032019-202230万,第一参与人

§ 复杂系统优化与管理创新团队基金,2018-202160万,团队负责人

§ 复杂系统优化与管理科研启动基金,2017-202050万,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: “研发先进的矿业调度方法矿业项目的综合决策优化和风险评估”, 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,2009-201120万澳元,主研



获奖经历

获奖经历

§ 福建省ABC人才海外C类专家,福建省,中国,2019

§ 经管出彩人,福州大学经管学院,2018

§ 福建省闽江学者讲座教授,福建省,中国,2017

§ 澳大利亚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), 昆士兰科技大学, 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, 昆士兰科技大学, 澳大利亚, 2008.

§ 校长颁发的最优全额博士奖学金(一年10个), 昆士兰科技大学, 澳大利亚, 2005-2008

§ 全额博士奖学金, 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

发表论文

迄今,本人已发表同行评审过的期刊和会议论文120多篇,其中在SCI国际期刊发表论文80多篇(实际一作论文#,通讯作者论文*)。所发表的论文得到国内外学术同行的高度评价和关注,并被多次引用(https://scholar.google.com/citations?hl=en&user=N_OY4woAAAAJ)


一作或实际一作论文

1. Liu*, S.Q., Liu, L., Kozan, E., Corry, P., Masoud, M., Chung, S., & Li, X. (2025). Machine learning for open-pit mining: A systematic review. International Journal of Mining, Reclamation and Environment, 39(1), 1-39. https://doi.org/10.1080/17480930.2024.2362579 (Springer; SCI-Q2; IF: 2.4; 7 citations)

2. Liu*, S.Q., Kozan, E., Masoud, M., Li, D., & Luo, K. (2025). Multi-stage mine production timetabling with optimising the sizes of mining operations: an application of parallel-machine flow shop scheduling with lot streaming. Annals of Operations Research, 348, 973–999. https://doi.org/10.1007/s10479-022-05134-z (Springer, SCI-Q1; ABS3; IF: 4.820; 5 citations)

3. Liu*, S.Q., & Pan, W. (2025). 基于增强式集成学习模型的铁矿石价格预测研究 (An enhanced ensemble learning model for iron ore price prediction). Journal of Chongqing Normal University Natural Science (重庆师范大学学报自科版), 42(3), 1-15. (特邀约稿)

4. Liu*, S.Q., Pan, W., Ding, P., (2024). Iron ore futures trading strategy based on EEMS and DRL (基于EEMD-DRL的铁矿石期货交易策略研究). Journal of WUT (Information Manag. Eng. 武汉理工大学学报(信息与管理工程版) 46, 611-618.

5. Liu*, S.Q., Kozan, E., Corry, P., Masoud, M., & Luo, K. (2023). A real-world mine excavators timetabling methodology in open-pit mining. Optimization and Engineering, 24, 1493-1535. https://doi.org/10.1007/s11081-022-09741-4 (Springer; SCI-Q2; IF: 2.760; 10 citations)

6. Liu*, S.Q., Bian, Z., Yin, Y., & Chen, Y. (2023). Literature review, classification and agendas on Japanese cell (Seru) production systems 日本式单元化生产系统(赛汝)的文献综述,分类和展望. Journal of Chongqing Normal University Natural Science (重庆师范大学学报自科版), 40(1), 1-14 (An invited review paper).

7. Liu*, S.Q., Zeng, L., & Li, X. (2023). A resilient coal supply chain network design model considering carbon emissions (考虑碳排放的弹性煤炭供应链网络设计模型). Journal of Chongqing Normal University Natural Science (重庆师范大学学报自科版), 40(1), 34-43.

8. Liu*, S.Q., Lin, Z., Li, D., Li, X., Kozan, E., & Masoud, M. (2022). Recent research agendas in mining equipment management: A review. Mining, 2, 769–790. https://doi.org/10.3390/mining2040043. (MDPI; an invited review paper with zero APC; 13 citations)

9. Liu*, S.Q., Lin, Z., Li, D., Kozan, E., & Masoud, M. (2022). Mining Equipment Management. Scholarly Community Encyclopedia, In press. https://encyclopedia.pub/entry/39062

10. Liu*, S.Q., Wang, Y., & Feng, L. (2022). Literature classification and review of supply chain finance from perspective of financing services (供应链金融的文献分类与综述-基于融资服务视角). Journal of Beijing University of Posts and Telecommunications Social Sciences Edition (北京邮电大学学报 社会科学版), 24(1), 59–74. https://journalsk.bupt.edu.cn/CN/abstract/abstract10299.shtml (A Chinse Journal)

11. Liu*, S.Q., Huang, X., Li, X., Masoud, M., Chung, S.-H., & Yin, Y. (2021). How is China’s energy security affected by exogenous shocks? Evidence of China-US trade dispute and COVID-19 pandemic. Discover Energy, 1, 2. https://doi.org/10.1007/s43937-021-00002-6 (Springer; 29K+ Accesses; 33 citations)

12. 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. https://doi.org/10.1080/23302674.2017.1344330 (Taylor & Francis; SCI-Q2; IF: 4.2; 29 citations)

13. 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. https://doi.org/10.1080/00207543.2017.1401240 (Taylor & Francis; SCI-Q1; ABS3; IF: 9.018; 51 citations)

14. Liu, S.Q., & Kozan, E. (2017). A hybrid metaheuristic algorithm to optimise a real-world robotic cell. Computers & Operations Research, 84, 188–194. https://doi.org/10.1016/j.cor.2016.09.011 (Elsevier; SCI-Q1; ABS3; IF: 5.159; 52 citations)

15. Liu, S.Q., & Kozan, E. (2016). Parallel-identical-machine job-shop scheduling with different stage-dependent buffering requirements. Computers & Operations Research, 74, 31–41. https://doi.org/10.1016/j.cor.2016.04.023 (Elsevier; SCI-Q1; ABS3; IF: 5.159; 53 citations)

16. 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. https://doi.org/10.1016/j.eswa.2015.08.044 (Elsevier; SCI-Q1; ABS3; IF: 12.6; 77 citations)

17. 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. https://doi.org/10.1057/jors.2011.4 (Taylor and Francis; SCI-Q2; ABS3; IF: 3.051; 59 citations)

18. 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. https://doi.org/10.7232/iems.2012.11.1.094 (Korean Institute of Industrial Engineers; 19 citations)

19. Liu, S.Q., & Kozan, E. (2012). Optimum utilisation of rolling stocks for iron ore mining industries. Advanced Materials Research, 361–363, 1529–1534. https://doi.org/10.4028/www.scientific.net/AMR.361-363.1529 (3 citations)

20. 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. https://doi.org/10.1287/trsc.1100.0332 (INFOMS; the foremost journal in Transportation; SCI-Q1; ABS3; IF: 4.898; 132 citations)

21. Liu, S.Q., & Kozan, E. (2011). Optimising a coal rail network under capacity constraints. Flexible Services and Manufacturing Journal, 23, 90–110. https://doi.org/10.1007/s10696-010-9069-9 (Springer; SCI-Q2; IF: 2.603; 39 citations)

22. Liu, S.Q., & Kozan, E. (2009). Scheduling trains as a blocking parallel-machine job shop scheduling problem. Computers & Operations Research, 36, 2840–2852. https://doi.org/10.1016/j.cor.2008.12.012 (Elsevier; SCI-Q1; ABS3; IF: 5.159; 185 citations)

23. Liu, S.Q., & Kozan, E. (2009). Scheduling a flow shop with combined buffer conditions. International Journal of Production Economics, 117, 371–380. https://doi.org/10.1016/j.ijpe.2008.11.007 (Elsevier; SCI-Q1; ABS3; IF: 11.251; 64 citations)

24. 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, 199–205. https://doi.org/10.1016/j.advengsoft.2004.10.002 (Elsevier; SCI-Q1; IF: 4.255; 89 citations)

25. 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, 533–539. https://doi.org/10.1016/j.advengsoft.2005.02.002 (Elsevier; SCI-Q1; IF: 4.255; 45 citations)

26. Liu, S.Q., & Ong, H. L. (2004). Metaheuristics for the mixed shop scheduling problem. Asia-Pacific Journal of Operational Research, 21(4), 97–115. (World Scientific Publishing in Singapore; SCI-Q4; IF: 1.109; 42 citations)

27. Liu, S., & Ong, H. L. (2002). A comparative study of algorithms for the flowshop scheduling problem. Asia-Pacific Journal of Operational Research, 19, 205–222. (World Scientific Publishing in Singapore; SCI-Q4; IF: 1.109; 34 citations)

28. 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), 222–234. (1 citation)

29. Liu, S.Q., & Yang, Y. S. (2000). Triple optimal analytical method used in energy systems considering ecological effects. Journal of Engineering for Thermal Energy and Power, 15(86), 98–99.

30. 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. https://doi.org/10.1080/17480930.2016.1160818 (Taylor & Francis; SCI-Q2; IF: 3.022; 32 citations)

31. Kozan, E., & Liu#, S.Q. (2016). A new open-pit multi-stage mine production timetabling model for drilling, blasting and excavating operations. Mining Technology, 125(1), 47–53. https://doi.org/10.1179/1743286315Y.0000000031 (Taylor & Francis; SCI-Q3, 57 citations).

32. Kozan, E., & Liu#, S.Q. (2012). A demand-responsive decision support system for coal transportation. Decision Support Systems, 54, 665–680. https://doi.org/10.1016/j.dss.2012.08.012 (Elsevier; SCI-Q1; ABS3; IF: 6.969; 65 citations)

33. Kozan, E., & Liu#, S.Q. (2011). Operations research for mining: a classification and literature review. ASOR Bulletin, 30(1), 2–23. (An OR journal in Australia; 41 citations)

34. 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. (An EI-indexed journal; 5 citations)

通讯作者论文(*)

35. Ding, P., Liu*, S. Q., Chen, D., & He, Y. (2025). A novel real-world human-robot collaboration scheduling problem: a combination of assembly line balancing and flow shop scheduling. Transportation Research Part E, 104299. https://doi.org/10.1016/j.tre.2025.104299 (Elsevier, SCI-Q1; ABS3; IF: 10.6)

36. Lin, M., Liu*, S.Q., Luo, K., & Zhu, L. (2025). A prospect-theory evolutionary game model to analyse cooperation of long-term energy contracts. Energy, 330, 136855. https://doi.org/10.1016/j.energy.2025.136855. (Elsevier; SCI-Q1; IF: 9.0; 1 citation)

37. Lin, M., Liu*, S.Q., Luo, K., & Burdett, R. (2025). Dynamic incentives to promote green production of the iron and steel industry in the post-pandemic period. Annals of Operations Research, 347: 679–715. https://doi.org/10.1007/s10479-023-05766-9. (Springer, SCI-Q1; ABS3; IF: 4.820; 7 citations)

38. Ding, P., Liu*, S. Q., Chen, D., & Kozan, E. (2025). Regional Studies in Marine Science A demand-responsive two-echelon assembly inventory management model for a sustainable port terminal with coal mining sites. Regional Studies in Marine Science, 86, 104177. https://doi.org/10.1016/j.rsma.2025.104177. (Elsevier; SCI-Q2; IF: 2.1)

39. Ding, P., Liu*, S.Q., Chen, D., & Kozan, E. (2025). A demand-responsive inventory management model for a coal port terminal. European Journal of Industrial Engineering, doi: 10.1504/EJIE.2026.10073604. (Inderscience; SCI-Q3; ABS2; IF: 1.9)

40. Ding, P., Liu*, S.Q., Chiong, R., Dhakal, P., Chen, D., Li, D., Ma, H.-L., & Chung, S.-H. (2025). A review of digital twins in smart industries: concepts, milestones, trends, applications, opportunities and challenges. Computers in Industry, In press. (Elsevier; SCI-Q1; ABS3; IF: 9.3)

41. Pan, W., Liu*, S.Q., Kumral, M., D’Ariano, A., Masoud, M., Khan, W. A., & Bakather, A. (2024). Iron ore price forecast based on a multi-echelon tandem learning model. Natural Resources Research, 33, 1969-1992. https://doi.org/10.1007/s11053-024-10360-2. (Springer; SCI-Q1; IF: 5.4; 6 citations)

42. Zhang, Q., Liu*, S.Q., D’Ariano, A., Chung, S. H., Masoud, M., & Li, X. (2024). A bi-level programming methodology for decentralized mining supply chain network design. Expert Systems with Applications, 250, 123904. https://doi.org/10.1016/j.eswa.2024.123904 (Elsevier; SCI-Q1; ABS3; IF: 12.6; 7 citations)

43. Wang, Y., Liu*, S.Q., Li, X. (2024). Equilibrium decisions of iron ore supply chain finance under advance payment (预付款机制下的铁矿石供应链金融的均衡决策). Operations Research and Management Science (运筹与管理), 33(11), 104-110.

44. Pan, W., & Liu*, S.Q. (2023). Deep reinforcement learning for the dynamic and uncertain vehicle routing problem. Applied Intelligence, 52, 405-422. https://doi.org/10.1007/s10489-022-03456-w (Springer; SCI-Q2; IF: 5.086; 123 citations)

45. Zeng, L., Liu*, S.Q., Kozan, E., Burdett, R., Masoud, M., Chung, S.H. (2023). Designing a resilient and green coal supply chain network under facility disruption and demand volatility. Computers & Industrial Engineering, 2023, 109476. (Elsevier, SCI-Q1; IF: 7.9; 22 citations).

46. Luan, F., Zhao, H., Liu*, S.Q., He, Y., & Tang, B. (2023). Enhanced NSGA-II for multi-objective energy-saving flexible job shop scheduling. Sustainable Computing: Informatics and Systems, 39, 100901. https://doi.org/10.1016/j.suscom.2023.100901 (Elsevier, SCI-Q1; IF: 4.5; 42 citations)

47. Zhang, Q., Liu*, S.Q., D’Ariano, A. (2023). Bi-objective bi-level optimization for integrating lane-level closure and reversal in redesigning transportation networks. Operational Research, 23, 23. https://doi.org/10.1007/s12351-023-00756-y (Springer; SCI-Q2; IF: 2.841; 14 citations)

48. Zhang, Q., Liu*, S.Q., & Masoud, M. (2022). A traffic congestion analysis by user equilibrium and system optimum with incomplete information. Journal of Combinatorial Optimization, 43, 1391–1404. https://doi.org/10.1007/s10878-020-00663-4 (Springer; SCI-Q3; IF: 1.262; 10 citations)

49. Luan, F., Li, R., Liu*, S.Q., Tang, B., Li, S., & Masoud, M. (2022). An improved sparrow search algorithm for solving the energy-saving flexible job shop scheduling problem. Machines, 10, 847. (MDPI; SCI-Q2; IF: 3.090; 34 citations)

50. Lin, Z., Liu*, S.Q., Li, X. (2022). Research progress of production and transportation equipment management in open pit mines (露天矿生产和运输设备管理研究进展). Mining Research & Development (矿业研究与开发), 42(12), 101-108.

51. Li, X., Liu*, S.Q., Lin, M., & Chen, Y. (2022). New-energy transformation and policy selection of conventional vehicle enterprises (传统车企的新能源转型模式和策略选择). Science Technology and Industry (科技和产业), 22(8), 193-204. (A Chinese Journal)

52. Ji, X., & Liu*, S.Q. (2022). Mathematical formulation and case studies for a rail-sea intermodal coal supply chain problem (铁海联运煤炭供应链的数学建模与案例分析). Logistics Engineering and Management (物流工程与管理), 44(6), 37-42. (A Chinese Journal)

53. Zeng, L., Liu*, S.Q., Kozan, E., Corry, P., & Masoud, M. (2021). A comprehensive interdisciplinary review of mine supply chain management. Resources Policy, 74, 102274. https://doi.org/10.1016/j.resourpol.2021.102274 (Elsevier; SCI-Q1; ABS2; IF: 8.222; 64 citations)

54. Komol, M. M. R., Sagar, M. S. I., Mohammad, N., Pinnow, J., Elhenawy, M., Masoud, M., Glaser, S., & Liu*, S.Q. (2021). Simulation Study on an ICT-Based Maritime Management and Safety Framework for Movable Bridges. Applied Sciences, 11, 7198. https://doi.org/10.3390/app11167198 (MDPI; SCI-Q2; IF: 2.679; 14 citations)

55. Elhenawy, M., Komol, M. R., Masoud, M., Liu*, S.Q., Ashqar, H. I., Almannaa, M. H., Rakha, H. A., & Rakotonirainy, A. (2021). A novel crowdsourcing model for micro-mobility ride-sharing systems. Sensors, 21, 4636. https://doi.org/10.3390/s21144636 (MDPI; SCI-Q2; IF: 3.847; 13 citations)

56. Liu, P., & Liu*, S.Q. (2021). A rolling horizon approach scheme for an extended airline crew pairing problem (基于滚动时域算法框架下的机组配对扩展问题研究). Logistics Engineering and Management (物流工程与管理), 43(8), 126-131. (A Chinese Journal)

57. 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, 239, 118048. https://doi.org/10.1016/j.jclepro.2019.118048 (Elsevier; SCI-Q1; IF: 9.297; 24 citations)

58. 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, 7, 688. https://doi.org/10.3390/math7080688 (MDPI; SCI-Q1; IF: 2.258; 49 citations)

59. Yan, P., Liu*, S.Q., Yang, C.-H., & Masoud, M. (2019). A comparative study on three graph-based constructive algorithms for multi-stage scheduling with blocking. Journal of Industrial and Management Optimization, 15(1), 221–233. https://doi.org/10.3934/jimo.2018040 (Aim Sciences; SCI-Q3; IF:1.801; 5 citations)

60. 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. https://doi.org/10.1016/j.cor.2018.05.009 (Elsevier; SCI-Q1; ABS3; IF: 5.159; 49 citations)

61. 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. https://doi.org/10.1007/s10732-016-9311-z (Springer; SCI-Q2; ABS3; IF: 2.240; 42 citations)

62. Mousavi, A., Kozan, E., & Liu*, S.Q. (2016). Open-pit block sequencing optimization: A mathematical model and solution technique. Engineering Optimization, 48(11), 1932–1950. https://doi.org/10.1080/0305215X.2016.1142080 (Taylor and Francis; SCI-Q2; IF: 3.230; 80 citations)

合作作者论文

63. Khan, W. A., Chung, S. H., Wang, Y., Eltoukhy, A. E. E., & Liu, S. Q. (2025). Intelligent early fault management using a continual deep learning information system for industrial operations. Industrial Management & Data Systems. https://doi.org/10.1108/IMDS-02-2025-0133 (Emerald, SCI-Q2; IF:4.7)

64. Khan, W. A., Chung, S., Liu, S.Q., Masoud, M., & Wen, X. (2025). Smoothing and matrix decomposition based stacked bidirectional GRU model for machine downtime forecasting. IEEE Transactions on Systems, Man and Cybernetics: Systems, 55(10), 7215-7227. https://doi.org/10.1109/TSMC.2025.3582768 (IEEE Explore, SCI-Q1; ABS3; IF: 8.7; 1 citation)

65. Wu, S., Wang, Q., Chung, S., Hu, L., Lau, Y., & Liu, S.Q. (2025). Improving green urban mobility: A study on shared electric vehicles versus taxis. Transportation Research Part E, 198, 104094. https://doi.org/10.1016/j.tre.2025.104094 (Elsevier, SCI-Q1; ABS3; IF: 10.6; 2 citations)

66. Yuan, Y., Li, S., Liu, S.Q., D’Ariano, A., & Yang, L. (2025). Dynamic bus bridging strategy in response to metro disruptions integrated with routing, timetabling and vehicle dispatching. Omega, 134, 103287. https://doi.org/10.1016/j.omega.2025.103287 (Elsevier; SCI-Q1; ABS3; IF: 7.0; 5 citations)

67. Xin, J., Liu, C., D’Ariano, A., Liu, S.Q., & Liang, J. (2025). Conflict-free routing of twin reclaimers in the stockyard based on a time-space network model. IEEE Transactions on Automation Science and Engineering, 22, 7335-7348. https://doi.org/10.1109/TASE.2024.3454226 (IEEE Explore; SCI-Q1; IF: 5.9; 2 citations)

68. Luan, F., Tang, B., Li, Y., Liu, S.Q., Yang, X., Masoud, M., & Feng, B. (2024). Solving multi-objective green flexible job shop scheduling problem by an improved chimp optimization algorithm. Journal of Intelligent and Fuzzy Systems, 46(4), 7697–7710. https://doi.org/10.3233/JIFS-236157 (SCI-Q4; IF: 1.0; 3 citations)

69. He, Y., Ma, H., Park, W., Liu, S.Q., & Chung, S. (2023). Maximizing robustness of aircraft routing with heterogeneous maintenance tasks. Transportation Research Part E, 177, 103237. https://doi.org/10.1016/j.tre.2023.103237. (Elsevier, SCI-Q1; ABS3; IF: 10.6; 17 citations).

70. Gao, S., Li, B., Mao, L., Wang, W., Zou, D., Zheng, J., Zhou, M., Yu, S., Zheng, F., Yin, Y., Liu, S.Q., Yang, H., & Wang, H. (2023). A theoretical base for non-invasive prenatal paternity testing. Forensic Science International, 346, 111649. https://doi.org/10.1016/j.forsciint.2023.111649 (Elsevier; SCI-Q2; IF: 2.676; 6 citations)

71. Masoud, M., Elhenawy, M., Liu, S., Almannaa, M., & Glaser, S. (2023). A simulated annealing for optimizing assignment of e-scooters to freelance chargers. Sustainability, 15, 1869. https://doi.org/10.3390/su15031869 (SCI-Q2; IF: 3.889; 7 citations)

72. Gai, Y., Yin, Y., Tang, J., & Liu, S.Q. (2022). Minimizing makespan of a production batch within concurrent systems: Seru production perspective. Journal of Management Science and Engineering, 7, 1-18. https://doi.org/10.1016/j.jmse.2020.10.002 (Elsevier; SCI-Q1; IF:3.7; 32 citations)

73. Allihaibi, W. G., Masoud, M., Elhenawy, M., Liu, S.Q., Burke, J., & Karim, A. (2021). Solving the emergency care patient pathway by a new integrated simulation - optimisation approach. IEEE Access, 9, 100895–100910. https://doi.org/10.1109/ACCESS.2021.3096263 (IEEE Xplore; SCI-Q1; IF: 3.367; 6 citations)

74. Li, W., Xi, Y., Liu, S.Q., Li, M., Chen, L., Wu, X., Zhu, S., & Masoud, M. (2020). An improved evaluation framework for industrial green development: Considering the underlying conditions. Ecological Indicators, 112, 106044. https://doi.org/10.1016/j.ecolind.2019.106044 (Elsevier; SCI-Q1; IF: 6.263; 37 citations)

75. 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. https://doi.org/10.1016/j.jclepro.2019.03.027 (Elsevier; SCI-Q1; IF: 9.297; 113 citations)

76. Khan, W. A., Chung, S. H., Ma, H. L., Liu, S.Q., & Chan, C. Y. (2019). A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption. Transportation Research Part E, 132, 72–96. https://doi.org/10.1016/j.tre.2019.10.005 (Elsevier; SCI-Q1; ABS3; IF: 10.6; 48 citations)

77. Masoud, M., Elhenawy, M., Almannaa, M. H., Liu, S.Q., Glaser, S., & Rakotonirainy, A. (2019). Heuristic approaches to solve e-scooter assignment problem. IEEE Access, 7, 175093–175105. https://doi.org/10.1109/ACCESS.2019.2957303 (IEEE Xplore; SCI-Q1; IF: 3.367; 50 citations)

78. 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. https://doi.org/10.5267/j.ijiec.2018.5.003 (Growing Science; SCI-Q2; IF: 2.455; 5 citations)

79. 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. https://doi.org/10.5267/j.ijiec.2017.9.001 (Growing Science; SCI-Q2; IF: 2.455; 26 citations)

80. 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. https://doi.org/10.1109/TASE.2017.2749429 (IEEE Xplore; SCI-Q1; IF: 5.083; 14 citations)

81. 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. https://doi.org/10.1007/s11590-016-1041-5 (Springer; SCI-Q2; IF: 1.769; 24 citations)

82. Masoud, M., Kent, G., Kozan, E., & Liu, S.Q. (2016). A new multi-objective model to optimize rail transport scheduler. Journal of Transportation Technologies, 6, 86–98. http://dx.doi.org/10.4236/jtts.2016.62008 (13 citations).

83. Masoud, M., Kozan, E., Kent, G., & Liu, S.Q. (2016). An integrated approach to optimise sugarcane rail operations. Computers & Industrial Engineering, 98, 211–220. https://doi.org/10.1016/j.cie.2016.06.002 (Elsevier; SCI-Q1; IF: 5.431; 26 citations)

84. Masoud, M., Kozan, E., Kent, G., & Liu, S.Q. (2016). Experimental dataset for optimising the freight rail operations. Data in Brief, 9, 492–500. https://doi.org/10.1016/j.dib.2016.09.015 (5 citations)


论著

85. Kozan E. & Liu# S.Q. (2018) An Open-Pit Multi-Stage Mine Production Scheduling Model for Drilling, Blasting and Excavating Operations (pp. 655-668). In: Dimitrakopoulos R. (eds) Advances in Applied Strategic Mine Planning. Springer, Cham. https://doi.org/10.1007/978-3-319-69320-0_38. (22 citations)

86. 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. (21 citations)


专利和计算机软件著作

87. Wang, L., Chen, Y., Nie, X., Liu, S. Q., & Deng, J. (2025). 数字看板产能采集软件 (Digital Kanban production capacity assembly software) (中华人民共和国国家版权局计算机软件著作权登记证书登记号: 2025SR1387115).

88. Chen, Y., Liu, S.Q., & Huang, Y. (2004). Quality control method for automobile production line to achieve quality trend prediction(实现品质趋势预测的汽车生产线品管方法). 国家知识产权局 (发明专利号: FP1213773CN, 有效期:2024.6.07-2044.6.07).

89. Chen, Y., Liu, S.Q., Zhang, X., & Wang, Q. (2024). A method and device for testing cogging torque of permanent magnet synchronous motors (一种永磁同步电机齿槽转矩测试方法及装置). 国家知识产权局. (发明专利号: FP1205787CN, 有效期:2024.10.29-2044.10.29).

90. Chen, Y., Liu, S.Q., Huang, Y., Zhang, X., & Zheng, Y. (2021/6). Automobile production line quality control management system and methodology (汽车生产线品质管理系统及方法),国家知识产权局 (发明专利号: FP1201178CN, 有效期:2021.6.25-2041.6.25).


其他成果

§ 研发了多个面向工业应用的软件包: 先进的矿块排序优化软件,矿业设备调度优化,矿业综合决策优化和风险评估软件,医院管理优化软件,机器人车间调度优化软件等

§ 撰写上百篇未发表的工业报告


出版著作

论著

Kozan E. & Liu# S.Q. (2018) An Open-Pit Multi-Stage Mine Production Scheduling Model for Drilling, Blasting and Excavating Operations (pp. 655-668). In: Dimitrakopoulos R. (eds) Advances in Applied Strategic Mine Planning. Springer, Cham. https://doi.org/10.1007/978-3-319-69320-0_38. (22 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. (21 citations)


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