王世进

王世进

博士,副教授,博士生导师

管理科学与工程系

邮箱:shijinwang@tongji.edu.cn

通信地址:同济大厦A楼1407室 (200092)

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)进行案例教学培训交流,2014年5月在芬兰阿尔托大学进行中芬合作教学培训。2010年,2012年和2014年入选同济大学英才计划。

作为作者/合作者目前已经在包括“Computes & Operations Research”,“International Journal of Production Research”,“International Journal of Production Economics”, “Applied Soft Computing”,“Computers & Industrial Engineering”,“Journal of Cleaner Production”等国内外期刊上发表学术论文30余篇。

教育经历

  • 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

研究与教学领域

  • 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

项目情况

主持科研项目:

  • 国家自然科学青年基金项目(编号:70901058): 面向分布式制造调度的适应性协商机制研究,2010.1-2010.12
  • 国家自然科学面上项目(编号: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
  • 中央财政科研项目:网络化环境下服务质量优化管理研究,2013.1-2015.12
  • 国家自然科学面上项目(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.
  • 中央财政科研项目:网络化环境下服务质量优化管理研究,2013.1-2015.12.
  • 中央高校基本科研业务费-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-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).

主持教改项目

  • 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》,2014-2015.12
  • 同济大学教改项目:《运营管理》全英文教学, 2010.1-2011.12

学术服务方面:

  • 国家自然科学基金通讯评审专家(2012-2016年)
  • 是一些国际期刊受邀通讯评审人,包括EJOR, ANOR, IJPE,IJPR, International Journal of Advanced Manufacturing Technology, IEEE Transaction on Knowledge and Data Engineering

教学方面:

  • 应用统计学,本科,中文
  • 应用统计学,国际留学生,研究生,英文
  • 运营管理,国际留学生,研究生,英文
  • 数据、模型和决策,MBA,中文
  • 参编教材一本《应用统计学》,清华大学出版社, 2010年4月

科研论文方面(部分):

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, 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, 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.
  • 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. 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.
  • Liu Ming, Wang Shijin, Chu Chengbin. Scheduling deteriorating jobs with past-sequence-dependent delivery times. International Journal of Production Economics, 144(2): 418-421.
  • Yu Jianbo, Wang Shijin, Xi Lifeng. Evolving Artificial Neural Networks Using an Improved PSO and DPSO. Neurocomputing Letter, 2008, 71(4-6): 1054-1060.
  • 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.

学生信息(2014年开始招收研究生):

  • 马栓(2014硕士, 2017年3月毕业)
    • 达达物流, 算法设计
    • 指导论文: Efficient methods for a bi-objective nursing home location and allocation problem: A case study. Applied Soft Computing, 2018, 65: 280-291 (SCI, IF: 3.5).
  • 张文慧(2015硕士, 2018年3月毕业)
    • 方向: 结合能耗的玻璃生产批调度优化
  • 刘新(2015硕士, 2017年1月转为Chu Chengbin教授博士生)
    • 方向: 结合能耗的路径优化和生产调度优化
    • 指导论文: Bi-objective optimization for the energy minimization vehicle routing problem with multiple depots and time windows. Under review.
  • 叶奔嫣(硕士在读2016-)
    • 方向: 结合能耗的调度与配送集成优化
    • 指导论文: A comparison between just-in-time and economic order quantity models with carbon emissions. Journal of Cleaner Production, 2018, 187: 662-671 (SCI, IF: 5.7).
  • 王晓东(硕士在读2017-)
    • 方向: 结合能耗的生产调度优化
    • 指导论文: Bi-objective identical parallel machine scheduling to minimize total energy consumption and makespan. Journal of Cleaner Production, 2018, 193: 424-440 (SCI, IF: 5.7).
  • 吴若尘(硕士在读2017-)
    • 方向:共享单车重平衡优化
  • 崔文利(硕士在读2018-)
  • 卢颖(硕士在读2018-)

(Last updated: June 22, 2018)

欢迎认真踏实,积极进取,具有一定数理、计算机基础和英语能力的学生报考本人研究生。联系方法:shijinwang@tongji.edu.cn