基于组合预测法的中国海船高级船员需求预测

Peng Zhang, Zhuo Sun, Yi-Huei Su, L. Lv
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引用次数: 0

摘要

中国航运业发展迅速,但高级船员短缺。以中国海船基本数据为基础,建立了基于回归预测法、二次指数平滑法和GM(1,1)灰色预测法的线性加权组合预测模型,以平均绝对偏差和残差标准差为指标,评价各单一预测模型和组合预测模型的拟合精度。虽然预测2020 - 2029年中国远洋船员需求呈轻微下降趋势,但必须立即采取措施培养更多高级船员,以缓解日益突出的供需失衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of the demand for senior crews of Chinese sea-going vessels based on the combined forecasting method
China's shipping industry is developing rapidly, but there is a shortage of senior crew. Based on the basic data of Chinese sea-going ships, a linear weighted combination forecasting model based on regression forecasting method, quadratic exponential smoothing method, and GM (1,1) gray forecasting method was established, using average absolute deviation and residual standard deviation as indicators to evaluate the fitting accuracy of each single prediction model and combined prediction model. Although the forecast of the demand for Chinese sea-going crews from 2020 to 2029 shows a slight downward trend, some actions must be taken immediately to train more senior crews to alleviate the increasingly prominent imbalance between supply and demand.
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