Study on Container Yard Pick-up Operations based on Distributed Decision-making
Abstract:
In this study, a state-of-the-art strategy of distributed
decision-making is proposed for pick-up operations in a container yard which
secures an important position during the container handling process. According
to the pick-up principles in the storage yard and corresponding practical experience,
a distributed decision-making algorithm is formulated which is intended to assist
yard operators to figure out the best solution, thus maximally raising operational
efficiency in container yard and avoiding unnecessary traffic congestions of
container trucks. Moreover, the workflow of yard cranes is efficiently optimized
to reduce their movement frequency. In the entire decision-making process, numerous
workloads are distributed to all yard cranes. The optimal scheme will be generated
after individual computation for each yard crane. Numerical tests are carried
out and their results show the effectiveness and feasibility of the algorithm.
The application of the proposed theory provides a practical significance to
improve operational efficiency when picking up containers.
How to cite this article
Yang Xiaoming, Zhao Ning, Chai Jiaqi, Liu Haiwei and Mi Chao, 2013. Study on Container Yard Pick-up Operations based on Distributed Decision-making. Journal of Applied Sciences, 13: 5434-5439.
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