Optimized appointment scheduling for export container deliveries at marine terminals
| Autor: | ManWo Ng, Na Li, Wayne K. Talley, Zhihong Jin, Gang Chen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Truck
050210 logistics & transportation 021103 operations research truck appointment 05 social sciences Geography Planning and Development 0211 other engineering and technologies Ocean Engineering Transportation 02 engineering and technology Appointment scheduling yard crane allocation Management Monitoring Policy and Law non-linear mixed integer programming model 0502 economics and business Container (abstract data type) Operations management Business human activities optimization Container terminal |
| Zdroj: | Li, N, Chen, G, Ng, M, Talley, W K & Jin, Z 2020, ' Optimized appointment scheduling for export container deliveries at marine terminals ', Maritime Policy and Management, vol. 47, no. 4, pp. 456-478 . https://doi.org/10.1080/03088839.2019.1693063 |
| DOI: | 10.1080/03088839.2019.1693063 |
| Popis: | To relieve pressure from large vessels and intensive arrival of trucks, an increasing number of marine terminals require trucks to make appointments prior to delivering containers. The quotas are supposed not to impede truck deliveries but should be sufficiently used. For terminals where trucks are allowed to make appointments and arrive on the same day, a critical problem is the simultaneous allocation of appointment quotas and yard cranes. A bi-objective integer model is set up to balance the trade-off between terminals and trucks. A three-dimensional quota is used for characterizing the variabilities in delivery operation. It also overcomes the challenges involved, including the inside workload, and the yard closing deadline. A non-dominated genetic algorithm II-based approach is developed to solve the problem. The method is validated through extensive numerical experiments, and the results show the advantages of simultaneously balancing the workload of yard cranes instead of merely smoothing truck arrivals. Parameter analysis then reveals the influence of both larger vessel size and an increase in trade, as well as the utility ratio of quotas. |
| Databáze: | OpenAIRE |
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