The modeling of spare parts optimization configuration under the constraint of spare parts availability rate is improved
Source abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Supply Chain and Inventory Management · Quality Function Deployment in Product Design · Advanced Manufacturing and Logistics Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Army Engineering University,Shijiazhuang Campus 1 , Shijiazhuang, Hebei Province,
32706 Troops of the Chinese People’s Liberation Army 2 , Zhengzhou, Henan,
College of Intelligent Manufacturing, Shanghai Zhongqiao Vocational and Technical University 3 , Shanghai,
32381 Troops of the Chinese People’s Liberation Army 4 , Beijing,
Funding
National Natural Science Foundation of China
References (20)
Show source-provided references
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