王世进

王世进

博士,副教授、博士生导师,管理科学与工程系

shijinwang@tongji.edu.cn

研究领域:优化理论、生产调度与维护;面向节能的运营优化及应用;质量控制、诊断和预诊方面的数据分析和数据挖掘;供应链管理

 

工学博士,副教授。2009年毕业于上海交通大学机械与动力工程学院机械工程(工业工程)专业获工学博士学位,同年进入同济大学经济与管理学院管理科学与工程系工作,现主要从事调度优化理论和应用、维护与生产调度集成优化、数据挖掘、供应链等方面的教学和科研工作。

2007年4月-2008年4月,作为访问学者在美国辛辛那提大学智能维护系统中心与Jay Lee教授进行合作研究,2012年7月在美国哈佛商学院(HBS)进行案例教学培训进修,2014年5月在芬兰阿尔托大学进行中芬合作教学培训进修,2019年8月-9月在法国埃夫里大学交流访问。

2010年,2012年和2014年入选同济大学英才计划。2019年入选“上海市人才发展资金资助计划”。

作为作者/通讯作者目前已经在包括“European Journal of Operational Research”,“Computes & Operations Research”,“International Journal of Production Research”, “Applied Soft Computing”,“Computers & Industrial Engineering”,“Journal of Cleaner Production”等国内外期刊上发表学术论文40余篇。

    • 2002.9-2009.1 上海交通大学 工业工程 博士学位
    • 1997.9-2002.6 浙江工业大学 工业工程 学士学位

主持的研究项目

  • 国家自然科学基金,青年项目(70901058):面向分布式制造调度的适应性协商机制研究,2010.1-2010.12,主持(后评估:优秀)
  • 国家自然科学基金,面上项目(71171149):柔性Job Shop生产调度和预防性维护计划集成模型和优化方法研究,2012.1-2015.12,主持(后评估:优秀)
  • 国家自然科学基金,面上项目(71571135):结合能耗成本的双资源混合流程生产多目标调度优化研究,2016.1-2019.12,主持,已结题
  • 国家自然科学基金,面上项目(71971155):结合等待时间的鲁棒式并行机调度优化研究,2020.1-2023.12,主持,在研
  • 国家自然科学基金,面上项目(72371187):结合资源受限和机会约束的并行机调度问题及其逆优化研究,2024.1-2027.12,主持,在研
  • 国家自然科学基金,海外及港澳学者合作研究基金项目(71428002):考虑排放成本的多资源生产与维护集成优化研究,2015.1-2016.12,国内合作人,已结题
  • 中央高校基本科研业务费(同济大学)-学科交叉类项目:大规模半导体制造环境下晶圆表面质量智能控制研究,2017-2018(第二负责人)
  • 中央高校基本科研业务费(同济大学)-学科交叉类项目:机械设备健康退化智能预诊与动态预防维护策略联合研究,2016-2017(第二负责人)
  • 中央高校基本科研业务费(同济大学)-学科交叉类人工智能重点项目:人工智能驱动的机械装备预测运行与精准服务技术,2019.8-2021.7(第二负责人)

部分出版物

作为作者/通讯作者目前已经在包括“European Journal of Operational Research”,“Computes & Operations Research”,“International Journal of Production Research”, “Applied Soft Computing”,“Computers & Industrial Engineering”,“Journal of Cleaner Production”等国内外期刊上发表学术论文40余篇。

在数据挖掘领域

  • Wang Shijin, Yu Jianbo et al. A Modified Support Vector Data Description based Novelty Detection Approach for Machinery Components. Applied Soft Computing, 2013,13(2): 1193-1205
  • Wang Shijin, Avin Mathew, Yan Chen, Lifeng Xi, Lin Ma, Jay Lee. Empirical Analysis of Support Vector Machine Ensemble Classifiers. Expert Systems with Applications. 2009, 36: 6466-6476.
  • Yu Jianbo, Wang Shijin. Using minimum quantization error chart for the monitoring of process states in multivariate manufacturing processes. Computers & Industrial Engineering, 2009, 57: 1300-1312.
  • Yu Jianbo, Wang Shijin, Xi Lifeng. Evolving Artificial Neural Networks Using an Improved PSO and DPSO. Neurocomputing Letter, 2008, 71(4-6): 1054-1060.

在生产调度和优化领域

  • Shijin Wang, Hanyu Zhang. A Matheuristic for Flowshop Scheduling with Batch Processing Machines in Textile Manufacturing. Applied Soft Computing, Accepted on June 29, 2023
  • Shijin Wang, Ruochen Wu, Feng Chu, Jianbo You. An exact decomposition method for unrelated parallel machine scheduling with order acceptance and setup times. Computers & Industrial Engineering, 2022, https://doi.org/10.1016/j.cie.2022.108899
  • Shijin Wang, Hanyu Zhang, Feng Chu, Li Yu. A Relax-and-Fix Method for Clothes Inventory Balancing Scheduling Problem. International Journal of Production Research, 2022, https://doi.org/10.1080/00207543.2022.2145517
  • Shijin Wang, Ruochen Wu, Feng Chu, Jianbo You. Unrelated parallel machine scheduling problem with special controllable processing times and setups. Computers & Operations Research, 2022, 148, 105990. https://doi.org/10.1016/j.cor.2022.105990
  • Shijin Wang, Feng Chu. A Decomposition-based Heuristic Method for Inventory Routing Problem. IEEE Transactions on Intelligent Transportation Systems, in press, 2022. DOI: 10.1109/TITS.2022.3170569
  • Shijin Wang, Ying Lu, Feng Chu, Jianbo Yu. Scheduling with divisible jobs and subcontracting option. Computers & Operations Research, 2022, 145, 105850. https://doi.org/10.1016/j.cor.2022.105850
  • Shijin Wang, Qianyang Zhao. Probabilistic tabu search algorithm for container liner shipping problem with speed optimization. International Journal of Production Research, 2022, 60(12): 3651-3668. https://doi.org/10.1080/00207543.2021.1930236.
  • Kan Fang, Shijin Wang*(通讯), Michael Pinedo, Lin Chen, Feng Chu. A combinatorial Benders decomposition algorithm for parallel machine scheduling with working-time restrictions. European Journal of Operational Research, 2021, 29(1): 128-146, https://doi.org/10.1016/j.ejor.2020.09.037.
  • Shijin Wang, Wenli Cui, Feng Chu, Jianbo Yu, Jatiner Gupta. Robust (min-max regret) single machine scheduling with interval processing times and total tardiness criterion. Computers & Industrial Engineering, 2020, 149,106838. https://doi.org/10.1016/j.cie.2020.106838.
  • Shijin Wang, Wenli Cui, Feng Chu, Jianbo Yu.  The interval min-max regret knapsack packing-delivery problem. International Journal of Production Research, 2021,59(18): 5661-5677, DOI: 10.1080/00207543.2020.1789235.
  • Shijin Wang, Wenli Cui. Approximation algorithms for the min-max regret identical parallel machine scheduling problem with outsourcing and uncertain processing time. International Journal of Production Research, 2021, 59(15): 4579-4592,https://doi.org/10.1080/00207543.2020.1766721.
  • Shijin Wang, Ruochen Wu, Feng Chu, Jianbo Yu.  Identical parallel machine scheduling with assurance of maximum waiting time for an emergency job. Computers & Operations Research, 2020, 118. DOI: 10.1016/j.cor.2020.104918.
  • Shijin Wang, Ruochen Wu, Feng Chu, Jianbo Yu, Xin Liu. An improved formulation and efficient heuristics for the discrete parallel-machine makespan ScheLoc problem. Computers & Industrial Engineering, 2020, 140(106238): 1-9.
  • Shijin Wang, Ming Liu, Feng Chu. Approximate and exact algorithms for an energy minimization traveling salesman problem. Journal of Cleaner Production, 2020, 249(119433): 1-17.
  • Shijin Wang, Ruochen Wu, Feng Chu, Jianbo Yu. Variable Neighborhood Search based Methods for Integrated Hybrid Flow Shop Scheduling with Distribution. Soft Computing, 2020, 24: 8917–8936.
  • Shijin Wang, Xiaodong Wang, Feng Chu, Jianbo Yu. An energy-efficient two-stage hybrid flow shop scheduling problem in a glass production. International Journal of Production Research, 2020,58(8): 2283-2314.
  • Shijin Wang, Ying Lu. A branch and price algorithm for single-machine completion time variance. Computers & Operations Research, 2019, 109: 188-199.
  • Shijin Wang, Benyan Ye. Exact methods for order acceptance and scheduling on unrelated parallel machines. Computers & Operations Research, 2019, 104: 159-173.
  • Shijin Wang, Xiaodong Wang, Li Yu. Two-stage no-wait hybrid flowshop scheduling with sequence-dependent setup times. International Journal of Systems Science: Operations & Logistics, 2019.
  • Shijin Wang, Xiaodong Wang, Jianbo Yu, Shuan Ma, Ming Liu. Bi-objective identical parallel machine scheduling to minimize total energy consumption and makespan. Journal of Cleaner Production, 2018, 193: 424-440.
  • Shijin Wang, Benyan Ye. A comparison between just-in-time and economic order quantity models with carbon emissions. Journal of Cleaner Production, 2018, 187: 662-671.
  • Shijin Wang, Shuan Ma. Efficient methods for a bi-objective nursing home location and allocation problem: A case study. Applied Soft Computing, 2018, 65: 280-291.
  • Shijin Wang, Zhanguo Zhu, Kan Fang, Feng Chu, Chengbin Chu. Scheduling on a two-machine permutation flow shop under time-of-use electricity tariffs. International Journal of Production Research, 2018, 56(9): 3173-3187.
  • Shijin Wang, Ming Liu, Feng Chu, Chengbin Chu. Bi-objective optimization of a single machine batch scheduling problem with energy cost consideration. Journal of Cleaner Production, 2016, 137(20): 1205-1215.
  • Wang Shijin, Liu Ming. Two-machine Flow Shop Scheduling Integrated with Preventive Maintenance Planning. International Journal of Systems Science, 2016, 47(3): 672-690.
  • Wang Shijin, Liu Ming, Chu Chengbin. A branch-and-bound algorithm for two-stage no-wait hybrid flow-shop scheduling, International Journal of Production Research, 2015, 53(4): 1143-1167.
  • Shijin Wang, Ming Liu. Multi-objective optimization of parallel machine scheduling integrated with multi-resources preventive maintenance planning. Journal of Manufacturing Systems, 2015, 37(1): 182-192.
  • Wang Shijin, Liu Ming. Two-stage Hybrid Flow shop Scheduling with Preventive Maintenance Using Multi-objective Tabu Search Method. International Journal of Production Research, 2014, 52(5): 1495-1508.
  • Wang Shijin. Bi-objective Optimization for Integrated Scheduling of Single Machine with Setup Times and Preventive Maintenance Planning. International Journal of Production Research, 2013, 51(12): 3719-3733.
  • Wang Shijin, Liu Ming. A Heuristic Method for Two-Stage Hybrid Flow Shop with Dedicated Machines. Computers & Operations Research, 2013, 40(1): 438-450
  • Wang Shijin, Liu Ming. A Genetic Algorithm for Two-stage No-wait Hybrid Flow Shop Scheduling Problem. Computers & Operations Research, 2013, 40(4): 1064-1075.
  • Wang Shijin, Liu Ming. A branch and bound algorithm for single-machine production scheduling integrated with preventive maintenance planning. International Journal of Production Research, 2013, 51(3): 847-868
  • Wang Shijin, Yu Jianbo. An effective heuristic for flexible job-shop scheduling problem with maintenance activities. Computers and Industrial Engineering, 2010, 59(3): 436-447.
  • Wang Shijin, Zhou Binghai, Xi Lifeng. A Filtered-Beam-Search based heuristic algorithm for Flexible Job-shop Scheduling Problem. International Journal of Production Research, 2008, 46(11): 3027-3058.
  • Wang Shijin, Xi Lifeng, Zhou Binghai. FBS-enhanced agent-based dynamic scheduling in FMS. Engineering Application of Artificial Intelligence, 2008, 21(4): 644-657.
  • Wang Shijin, Xi Lifeng, Zhou Binghai. Filtered-Beam-Search-Based Algorithm for Dynamic Rescheduling in FMS. Robotics and Computer-Integrated Manufacturing. 2007, 23(4): 457-468.

教学改革

  • 2014年上海高校外国留学生英语授课示范性课程《应用统计学》,2014.12-2016.12
  • 同济大学教改项目:《运营管理》全英文教学,2010.12-2011.12
  • 参编教材:《应用统计学》,清华大学出版社

全日制学术研究生信息(2014年起招收研究生)

  • 马栓(2014.9入学,2017年3月毕业)
    • 去向:达达物流
    • 指导论文已发表于Applied Soft Computing期刊
  • 张文慧(2015.9入学,2018年3月毕业),去向:选调生
  • 叶奔嫣(2016.9入学,2019年3月毕业)
    • 去向:银联智惠
    • 2018年度研究生国家奖学金,2019年度同济大学优秀毕业生
    • 指导论文已发表于Journal of Cleaner Production和Computers & Operations Research期刊
  • 王晓东(2017.9入学,2020年4月毕业)
    • 去向:新加坡管理大学 攻读博士
    • 2018年度研究生国家奖学金,2019年度研究生国家奖学金
    • 上海市优秀毕业生,获评为同济大学13届研究生“学术先锋”
    • 指导论文发表于Journal of Cleaner Production和International Journal of Production Research期刊
  • 吴若尘(2017.9入学,2019年春博士生,2023年6月毕业)
    • 去向(First Placement):中远海运
    • 指导论文已发表于Soft Computing, Computers & Industrial Engineering,Computers & Operations Research 期刊
    • 2020年度研究生国家奖学金
  • 卢颖(2018.9入学,2021年9月答辩毕业)
    • 去向(First Placement):华为
    • 2019年度研究生国家奖学金
    • 指导论文已发表于Computers & Operations Research期刊
  • 崔文利(2018.9入学,2021年3月答辩毕业)
    • 去向(First Placement):南京银行
    • 2020年度研究生国家奖学金, 2021年度同济大学优秀毕业生
    • 指导论文已发表于International Journal of Production Research(2篇)和Computers & Industrial Engineering期刊
  • 张涵钰(2019.9入学,2021年春博士生,)
    • 指导论文已发表于International Journal of Production Research, Applied Soft Computing
  • 赵钱阳(2019.9入学,2022年3月答辩毕业)
    • 去向(First Placement):阿里云
    • 指导论文已发表于International Journal of Production Research
    • 2021年度研究生国家奖学金
  • 胡婷(2020.9入学,2023年6月毕业)
    • 去向(First Placement):Momenta(自动驾驶相关)
    • 2021年度研究生国家奖学金
  • 王蛟龙(2020.9入学,2023年6月毕业)
    • 去向(First Placement):家乡选调生
  • 李香凝(2021.9入学,)
  • 李浩冉(2022.9入学,)
  • 杨钰(2023.9入学,)
  • 曹嘉旭(2023.9入学,)

专业学位研究生指导

  • 已指导EMBA、MBA、MEM和MPA学生论文超过230人
  • MBA《数据模型与决策》课程讲师
  • 2023年第一届上海市高校MBA研学写作大赛一等奖 指导老师
  • 2023年中国研究生企业管理创新大赛一等奖 指导老师

学术服务方面:

  • 国家自然科学基金通讯评审专家
  • 教育部学位中心、上海市教委学位中心学位论文受邀评阅专家
  • 一些国际期刊受邀通讯评审人,包括IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Automation Science and Engineering, EJOR,C&OR, ANOR,IJPE,IJPR, CIE, International Journal of Advanced Manufacturing Technology, IEEE Transaction on Knowledge and Data Engineering等,
    审稿情况:https://publons.com/researcher/3418541/shijin-wang/peer-review/
  • 2019年入选“上海市人才发展资金资助计划”
 

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