Deciding on planning windows by partitioning time for yard crane management in container terminals

• Main Authors: Guo, Xi, Huang, Shell Ying
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2011
• Subjects: DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering
• Online Access: https://hdl.handle.net/10356/93901; http://hdl.handle.net/10220/7080; http://gauss.econ.uni-hamburg.de/iccl2010/index.html
• Institution: Nanyang Technological University

This paper proposes a new dynamic Yard Crane (YC) workload partition scheme in container terminals. The main contribution is the time partitioning algorithm which finds a sequence of time windows to match closely the changing...