Predicting the Performance of Forecasting Strategies for Naval Spare Parts Demand: A Machine Learning Approach

Author:

Moon Seongmin

Publisher

The Korean Operations and Management Science Society

Subject

General Medicine

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Reframing Demand Forecasting: A Two-Fold Approach for Lumpy and Intermittent Demand;Sustainability;2022-07-29

2. Spare parts consumption prediction based on AO-ELM;2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA);2022-05-20

3. Prediction of Demand for Red Blood Cells Using Artificial Intelligence Methods;Academic Platform Journal of Engineering and Smart Systems;2022-05-01

4. Hybrid simulation models for spare parts supply chain considering 3D printing capabilities;Journal of Manufacturing Systems;2021-04

5. Maintenance Service Logistics;Operations, Logistics and Supply Chain Management;2018-08-30

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