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    Jelmer Pier van der Gaast

    Associate Professor

    Management Science

    Add: Guoshun Road Siyuan Building Room 503, Siyuan Building

    Tel: 25011244(TEL)

    E-mail: jpgaast@fudan.edu.cn

    Research Field: Warehousing, Urban Logistics, Queuing Theory, Stochastic Processes, Mathematical Optimization, and Software Development

    Website:

    Teacher information
    Achievements in scientific research
    Academic activities and community service

    Journal Papers


    1.Jelmer Pier van der Gaast and Alp Muzaffer Arslan. 2023. Personal shopper systems in last-mile logistics. Service Science 15(1) 41–57.  



    2.Jelmer Pier van der Gaast and Felix Weidinger. 2022. A deep learning approach for the selection of an order picking system. European Journal of Operational Research 302(2) 530-543.  



    3.Jelmer P. van der Gaast, René B. M. de Koster, Ivo J. B. F. Adan, and Jacques A. C. Resing. 2020. Capacity analysis of sequential zone picking systems. Operations Research 68(1) 161-179.  



    4.J. P. van der Gaast, René B. M. de Koster, and Ivo J. B. F. Adan. 2019. Optimizing product allocation in a polling-based milkrun picking system. IISE Transactions 51(5) 486–500.  



    5.J. P. van der Gaast, M. B. M. de Koster, and I. J. B. F. Adan. 2018. Conveyor merges in zone picking systems: A tractable and accurate approximate model. Transportation Science 52(6) 1428-1443.  



    6.Jelmer P. van der Gaast, Ivo J. B. F. Adan, and René B. M. de Koster. 2017. The analysis of batch sojourn-times in polling systems. Queueing Systems 85(3-4) 313–335.  



    7.Jelmer P. van der Gaast, Cornelius A. Rietveld, Adriana F. Gabor, and Yingqian Zhang. 2014. A Tabu Search Algorithm for application placement in computer clustering. Computers & Operations Research 50 38–46.  


    Research Projects

    2022.01—2023.12, Principal Investigator, Achieving Excellence in Warehouse Operations, National Natural Science Foundation of China


    Journal Papers


    1.Jelmer Pier van der Gaast and Alp Muzaffer Arslan. 2023. Personal shopper systems in last-mile logistics. Service Science 15(1) 41–57.  



    2.Jelmer Pier van der Gaast and Felix Weidinger. 2022. A deep learning approach for the selection of an order picking system. European Journal of Operational Research 302(2) 530-543.  



    3.Jelmer P. van der Gaast, René B. M. de Koster, Ivo J. B. F. Adan, and Jacques A. C. Resing. 2020. Capacity analysis of sequential zone picking systems. Operations Research 68(1) 161-179.  



    4.J. P. van der Gaast, René B. M. de Koster, and Ivo J. B. F. Adan. 2019. Optimizing product allocation in a polling-based milkrun picking system. IISE Transactions 51(5) 486–500.  



    5.J. P. van der Gaast, M. B. M. de Koster, and I. J. B. F. Adan. 2018. Conveyor merges in zone picking systems: A tractable and accurate approximate model. Transportation Science 52(6) 1428-1443.  



    6.Jelmer P. van der Gaast, Ivo J. B. F. Adan, and René B. M. de Koster. 2017. The analysis of batch sojourn-times in polling systems. Queueing Systems 85(3-4) 313–335.  



    7.Jelmer P. van der Gaast, Cornelius A. Rietveld, Adriana F. Gabor, and Yingqian Zhang. 2014. A Tabu Search Algorithm for application placement in computer clustering. Computers & Operations Research 50 38–46.  


    Research Projects

    2022.01—2023.12, Principal Investigator, Achieving Excellence in Warehouse Operations, National Natural Science Foundation of China


    Case

    Jelmer Pier van der Gaast，Di Sun，Fei Ni, Quicktron:Innovation and Global Expansion of an AMR Company, , 2022