Open AccessStacking Position Allocation Model Based on Automatic Rail Crane
Author(s) -
Ru Jia,
Shouwen Ji,
Zhao Qing-hua,
Guo Dong
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/790/1/012164
Subject(s) - container (type theory) , energy consumption , computer science , genetic algorithm , position (finance) , mathematical optimization , simulation , engineering , mathematics , mechanical engineering , electrical engineering , finance , machine learning , economics
In order to reduce the energy consumption of the automated container terminal, based on the operation of the container in the yard, this paper used the travel distance of the automatic rail crane to represent the energy consumption problem to study the problem of container allocation. Under the premise that the operating time of inbound container was known, this paper took the number of pressurized containers as a limiting condition, and established the allocation model of the storage space to minimize the travel distance of the automatic rail crane. Considering that the model had a large calculation scale and was an NP-hard problem, a genetic algorithm was used to solve it. Example analysis results show that the model and algorithm can effectively reduce the travel distance of the automatic rail crane by 17.02% under the premise of controlling the number of pressure boxes.