Evaluation of the number of rehandles in container yards
Computers and Industrial Engineering - Special issue: new advances in analysis of manufacturing systems
ICC&IE Selected papers from the 22nd ICC&IE conference on Computers & industrial engineering
Humans and Automation: System Design and Research Issues
Humans and Automation: System Design and Research Issues
An optimization model for the container pre-marshalling problem
Computers and Operations Research
A heuristic rule for relocating blocks
Computers and Operations Research
Planning for intra-block remarshalling in a container terminal
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
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Currently there is a strong demand of increasing the efficiency of the work chain in container harbors. Several methods aiming at improving the logistics of the container yard have been proposed. Nevertheless, the efficiency of an individual container crane has not been investigated, even though it has a great impact on the efficiency of the whole work chain. This paper proposes a method for modeling and evaluation of the work of a single harbor crane. In the method, the work is first divided into comprehensible tasks. A sequence of tasks produces a work cycle. The work cycle is modeled by a Hidden Markov Model (HMM). Each task of the work cycle corresponds to a state of the HMM. The HMM recognizes the states of the work cycle by using measurements readily available in the database of the crane. The resulting task time distribution directly reveals the bottlenecks of the work.