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.
Authors
- Dunxiang Zhu (ORCID: https://orcid.org/0000-0002-2394-2098)
- Chiming Guo (ORCID: https://orcid.org/0000-0002-3614-6453)
- Qiwei Hu (ORCID: https://orcid.org/0000-0002-4248-7094)
- Zhifeng You
- Quan Shi
- Weiyi Wu (ORCID: https://orcid.org/0000-0002-1571-5872)
- Li Gu (ORCID: https://orcid.org/0000-0002-4476-0285)
Institutions
- 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)
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
Funders
- National Natural Science Foundation of China