Constraint and Mathematical Programming Models for Integrated Port Container Terminal Operations
December 14, 2017 Β· Declared Dead Β· π Integration of AI and OR Techniques in Constraint Programming
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Authors
Damla Kizilay, Deniz T. Eliiyi, Pascal Van Hentenryck
arXiv ID
1712.05302
Category
cs.AI: Artificial Intelligence
Cross-listed
math.OC
Citations
23
Venue
Integration of AI and OR Techniques in Constraint Programming
Last Checked
4 months ago
Abstract
This paper considers the integrated problem of quay crane assignment, quay crane scheduling, yard location assignment, and vehicle dispatching operations at a container terminal. The main objective is to minimize vessel turnover times and maximize the terminal throughput, which are key economic drivers in terminal operations. Due to their computational complexities, these problems are not optimized jointly in existing work. This paper revisits this limitation and proposes Mixed Integer Programming (MIP) and Constraint Programming (CP) models for the integrated problem, under some realistic assumptions. Experimental results show that the MIP formulation can only solve small instances, while the CP model finds optimal solutions in reasonable times for realistic instances derived from actual container terminal operations.
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