Author(s)

Wei Yang ¹, Yiteng Ma ¹, Lijun Liu ¹, Kaixing Liu ¹, Yongpeng Cao ¹, Yalou Gao ¹, Huisong Meng ¹

Affiliation(s)

¹ College of Mechanical an Electrical Engineering, Shaanxi University of Science & Technology, Xi'an, Shaanxi, 710021, China

Corresponding Author

Lijun Liu

ABSTRACT

Since the storage allocation and inventory management of outfitting parts have always been a difficult problem for shipyards, an intelligent storage allocation system for ship outfitting parts is developed considering the characteristics of outfitting parts with complex shapes, special structures, short response cycles and high flush requirements. Firstly, to address the problems of ship outfittings with many types, non-uniform dimensions and large weight differences, three key factors are proposed, namely, item relevance, turnover timeliness and storage stability. Secondly, a heuristic algorithm-based optimization method for storage location is proposed for the characteristics of item relevance and turnaround timeliness. Then, considering the characteristics of storage stability, a storage shelf location allocation method based on adaptive differential evolution algorithm is proposed. Finally, an intelligent storage location allocation system for outfitting parts is developed. For this purpose, software testing and trial are conducted based on nearly half a year of real data from shipyards to verify the effectiveness of the model and method.

KEYWORDS

Ship outfitting; item correlation; turnover timeliness; adaptive difference algorithm

CITE THIS PAPER

Wei Yang, Yiteng Ma, Lijun Liu, Kaixing Liu, Yongpeng Cao, Yalou Gao, Huisong Meng, Design Study on Intelligent Storage and Dispensing System for Ship Outfitting Parts. Journal of Artificial Intelligence Practice (2024) Vol. 7: 113-121. DOI: http://dx.doi.org/10.23977/jaip.2024.070414.

REFERENCES

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