[1]QI Xiaogang,YAO Zhaodong.A prediction method for equipment spare parts based on grey theory and weak buffering operator[J].CAAI Transactions on Intelligent Systems,2025,20(2):495-505.[doi:10.11992/tis.202402014]
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A prediction method for equipment spare parts based on grey theory and weak buffering operator
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
20
Number of periods:
2025 2
Page number:
495-505
Column:
人工智能院长论坛
Public date:
2025-03-05
- Title:
- A prediction method for equipment spare parts based on grey theory and weak buffering operator
- Keywords:
- spare part prediction; gray model; smoothness; model improvement; buffer operator; maintenance assurance; resource prediction; prediction accuracy
- CLC:
- TP20; N941.5
- DOI:
- 10.11992/tis.202402014
- Abstract:
- Spare parts shortage or redundancy is a common issue in maintenance assurance tasks, which seriously affects efficiency. How to make accurate and effective spare parts prediction has become crucial in maintenance support. Due to the short-term and irregular nature of spare part prediction, gray prediction has become a commonly used method, but the current gray prediction still has the problem of insufficient accuracy. To enhance the accuracy, gray models and methods are improved by smoothing the original sequence and refining the model, four different models and three smoothing functions are selected, and a new weak buffer operator is further constructed to reduce the error due to the cumulative calculation. The experiments show that under different models and smoothing functions, the constructed operators are feasible to improve the accuracy, and the improvement effect is obvious, and more accurate results can be obtained by combining with model improvement and smoothing.
- References:
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Last Update:
2025-03-05