Joint Scheduling of Container Berth-Quay Crane Based on Berthing Priority and Fair Principle
As an important node in the shipping transportation, the container terminal plays a significant role in international logistics and national economies. The operation of container terminals mainly includes the processes of berth and yard allocation as well as the quay crane and container truck scheduling, in which berths and quay cranes are two interrelated scarce resources along the dockside. As a result, a reasonable scheduling can improve resource utilization and customer satisfaction and which is crucial for the productivity and service level of container terminals. In reality, the most important index to measure the performance of a container terminal is the time of the vessel waiting at port. So, in this study, the authors develop a model for the optimization of the container berth-quay crane allocation based on different berthing priorities. These priorities are provided according to different vessel sizes and the time of arrival in the processes of berth allocation. The purpose is to minimize the total time of the vessels’ waiting at port. To solve this problem, a mixed integer programming model is suggested. In solving this model, the genetic algorithm is employed in the berth allocation. The processes of mutation and crossover in genetic algorithm are based on serving orders which are determined by berthing priorities. Further, in quay crane allocation and scheduling, the fair allocation principle of Q value method is proposed. To assess the feasibility of the model, a series of numerical experiments are performed in this paper. By solving the numerical examples, different priorities for vessels, the optimal berthing location and the optimal number of quay cranes for arrived ships are obtained. The experimental result shows that, by considering the combination of loading and unloading volume and arriving time, along with the proposed Q value of fair quay crane allocation algorithm the Berth-Quay crane scheduling is significantly improved. Finally, sufficient quay crane re-scheduling can effectively shorten the time of the ships in port.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9789623677967
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Supplemental Notes:
- Abstract reprinted with permission of Hong Kong Polytechnic University.
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Corporate Authors:
Hong Kong Polytechnic University
Department of Logistics and Maritime Studies
Tung International Centre for Maritime Studies
Hong Kong, China -
Authors:
- Fan, Lixian
- Wang, Xingyuan
- Yin, Jingbo
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Conference:
- International Forum on Shipping, Ports and Airports (IFSPA) 2015: Empowering Excellence in Maritime and Air Logistics: Innovation Management and Technology
- Location: Hong Kong , China
- Date: 2015-11-29 to 2015-12-2
- Publication Date: 2016-5
Language
- English
Media Info
- Media Type: Digital/other
- Features: Appendices; Figures; References; Tables;
- Pagination: pp 152-172
- Monograph Title: Proceedings of the International Forum on Shipping, Ports and Airports (IFSPA) 2015: Empowering Excellence in Maritime and Air Logistics: Innovation Management and Technology
Subject/Index Terms
- TRT Terms: Berth utilization; Container terminals; Cranes; Genetic algorithms; Optimization; Quays; Resource allocation; Scheduling
- Subject Areas: Data and Information Technology; Marine Transportation; Operations and Traffic Management;
Filing Info
- Accession Number: 01609667
- Record Type: Publication
- ISBN: 9789623677967
- Files: TRIS
- Created Date: Sep 1 2016 9:07AM