The Collaborative Scheduling Optimization of External Truck at Container Terminals Based on Mixed Integer Programming Under Appointments System
ID:17 View Protection:PUBLIC Updated Time:2022-07-06 14:59:21 Hits:318 Poster Presentation

Start Time:Pending(Asia/Shanghai)

Duration:Pending

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Abstract
It is an effective way to relieve container terminal’s congestion by appointment. In order to adjust the truck's arrival time at the gate, concerning the cooperation and the time window adjustment mode among external trucking companies and terminal operators in the truck appointment system (TAS), the centralized and decentralized dynamic collaborative TAS model are established respectively by mixed integer programming (MIP). Numerical experiments are performed to validate the approach in this study. The results show that the dynamic collaborative TAS can significantly reduce the waiting and congestion costs of the external trucking companies, and better stagger the peak time windows, so as to maximize the synergy between terminal operators and trucking companies. Finally, Optimization measures for scheduled arrival of external trucks outside the container terminal such as are put forward.
Keywords
container terminal, TAS, MIP, time window
Speaker
xinhai xia
Professor Guangzhou Maritime University

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Important Date
  • Conference Date

    Jul 08

    2022

    to

    Jul 11

    2022

  • Jul 11 2022

    Contribution Submission Deadline

  • Jul 11 2022

    Registration deadline

Sponsored By
Chinese Overseas Transportation Association
Central South University (CSU)
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