Transportation Dissertation
Title | Multi-objective Truck Appointment System considering Empty-truck-trip Problem in Container Terminal |
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Year | 2021 |
Degree | Master |
School | Department of Transportation and Logistics Management,National Chiao Tung University |
Author | Hsiao-Hsuan Su |
Summary | countries are dedicated to terminal efficiency, and truck turnaround time is regarded as an important performance metrics. To reduce congestion at domestic container terminals, this study, based on international literature and field investigation, realizes why domestic terminals failed with truck appointment system was lack of motivation to encourage truck drivers to cooperate. Thus, it develops an approach with combination of machine learning and operational research for optimizing a truck appointment system considering empty-truck-trip problem. First, considering truck-company operations, similar export and import containers are matched in tuples with clustering analysis to reduce the number of empty trips and, then, tuples are regarded as parameters in optimization model. Based on non-stationary queuing theory, it estimates time-varying truck network of terminal managing truck arrivals and assigns truck companies to suitable time to minimize the numbers of trucks at peak hours. |