Block yard scheduling is a
crucial link in ship construction. To address the issue of low efficiency in
yard hoisting operations, this paper constructs a digital twin system and a
high-fidelity virtual simulation environment for block yards, and proposes an
improved two-stage optimization method named A*HNSA. Driven by the digital
twin, this method jointly optimizes the hoisting sequence and the gantry crane
path. Based on the real scheduling data from a shipyard in Shanghai, three
types of test cases (small, medium, and large) are set up according to the
number of scheduling blocks, and comparisons are made with existing methods.
The results show that, compared with existing methods in the three types of
test cases, the proposed method reduces the total transportation distance by
3.51%, 5.33%, and 6.79% respectively, and shortens the total scheduling time by
3.82%, 5.35%, and 7.07% respectively. It significantly reduces the
transportation cost of gantry cranes, improves the solution efficiency, and
meets the online response requirements of the block yard digital twin system.
Qi Linlong1, Liu Liquan2, Wang Zhe1, Zhang Zishen1, Zhu Ying3, Xia Tangbin1, 4
. Application of Digital
Twin–Based Improved A*HNSA Algorithm to Ship Block Hoisting Tasks[J]. Journal of Shanghai Jiaotong University, 0
: 1
.
DOI: 10.16183/j.cnki.jsjtu.2025.353