The modeling of spare parts optimization configuration under the constraint of spare parts availability rate is improved

To overcome the tendency of traditional system spare parts satisfaction models to fall into extreme defects, an improved model for optimizing spare parts allocation under system spare parts satisfaction constraints has been established. By applying the concept of hierarchical optimization, an improved hierarchical marginal optimization algorithm is proposed to enhance the optimization efficiency of the algorithm. The optimization steps of this algorithm are provided, and its theoretical optimization efficiency is analyzed. Through the analysis of case study results, the correctness and rationality of the constructed model are proven.

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Publication Details

Journal
AIP Advances
Published
2025-08-01
DOI
https://doi.org/10.1063/5.0282512
Citations
1
Primary Topic
Supply Chain and Inventory Management
Type
article
Field-Weighted Citation Impact
2.28

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article

The modeling of spare parts optimization configuration under the constraint of spare parts availability rate is improved

Dunxiang Zhu, Chiming Guo, Qiwei Hu, Zhifeng You et al.
1 citations
AIP Advances
Supply Chain and Inventory Management
2.28
article

The modeling of spare parts optimization configuration under the constraint of spare parts availability rate is improved

Dunxiang Zhu, Chiming Guo, Qiwei Hu, Zhifeng You, Quan Shi, Weiyi Wu, Li Gu
article en
1 citations

Abstract

To overcome the tendency of traditional system spare parts satisfaction models to fall into extreme defects, an improved model for optimizing spare parts allocation under system spare parts satisfaction constraints has been established. By applying the concept of hierarchical optimization, an improved hierarchical marginal optimization algorithm is proposed to enhance the optimization efficiency of the algorithm. The optimization steps of this algorithm are provided, and its theoretical optimization efficiency is analyzed. Through the analysis of case study results, the correctness and rationality of the constructed model are proven.

AIP AdvancesVol. 15(8)
Shijiazhuang University (CN), People's Liberation Army No. 150 Hospital (CN), Shanghai Jian Qiao University (CN), Chinese People's Liberation Army (CN), PLA Army Engineering University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 10%
Supply Chain and Inventory Management
2.28
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The modeling of spare parts optimization configuration under the constraint of spare parts availability rate is improved — Dunxiang Zhu, Chiming Guo, et al. · AIP Advances (2025) | TGRS Research Map | TGRS