An approach for maximizing container loading and minimizing the waste of space using Q-learning

This paper suggests a methodology for tackling container loading problem by using a Q-learning technique. One of the important issues for the efficient operation of container loading problem is to find software that can determine the order in which the containers are to be arranged in order to speed...

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Bibliographic Details
Main Authors: Tijjani, Sani, Bucak, Ihsan Omur
Format: Conference Proceeding
Language:English
Subjects:
Container loading problem (CLP)
Equations
Green products
Mathematical model
Niobium
Q-learning algorithm
Quay crane (QC)
Robots
Yard Crane (YC)
Online Access:Request full text
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Summary:This paper suggests a methodology for tackling container loading problem by using a Q-learning technique. One of the important issues for the efficient operation of container loading problem is to find software that can determine the order in which the containers are to be arranged in order to speed up the process. However, the efficient way to arrange containers involves new and specialized logistic process, a number of logistics plan and automated system to handle a great number of containers. This study proposes a method for maximizing the load of container and consequently minimizing the waste of space.
DOI:10.1109/TAEECE.2013.6557277