Paper
7 September 2023 Research on order selection method of ship outfitting parts production
Author Affiliations +
Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127901T (2023) https://doi.org/10.1117/12.2689695
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China
Abstract
In order to improve the efficiency of outfitting production order selection in shipyard, the outfitting operation in the assembly center was studied from two aspects of order batch strategy and selection path. Aiming to minimize the weighted time of order picking time and order delay time, an order batch picking model based on improved envelope batch algorithm was constructed to complete the batch work of production orders. Then, a selection path optimization model based on improved genetic algorithm was constructed to complete the selection path planning of production orders. Finally, comparative analysis is carried out by an example. The experimental results show that the optimized production order reduces the order selection time and order delay time, improves the sorting efficiency of the assembly center, and also proves the effectiveness and practicability of the algorithm.
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Shuo Wang, Jiaqi Yang, Hao Yu, and Zhe Cong "Research on order selection method of ship outfitting parts production", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127901T (7 September 2023); https://doi.org/10.1117/12.2689695
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KEYWORDS
Mathematical optimization

Genetic algorithms

Design and modelling

Data modeling

Data storage

Lead

Engineering

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