Human resources constitute the core assets of enterprises, and effective forecasting methods for manpower demand can significantly reduce labor costs, enhance production efficiency, and drive the transformation and high-quality development of port enterprises. However, the large scale and complex operations of port enterprises, coupled with numerous internal and external factors to be considered during manpower demand forecasting, pose significant challenges and result in lower accuracy. Consequently, there is a lack of research on manpower demand forecasting specifically tailored to port enterprises. This paper analyzes the actual situation of Dalian International Hub Port (DIHP), summarizes and establishes an indicators system of influencing factors for human resources in Dalian International Hub Port. Afterward, A GM-BP forecasting model is established for port enterprises. Furthermore, we conduct a comparative analysis on the prediction effects of three different models, including GM, BP and GM-BP. The comparison results validate the rationality and reliability of the proposed model, providing a basis for port manpower management from an enterprise perspective.

Guangying Jin, Chunhui Yang, Qingpu Meng, Wei Feng. Research on Intelligent Manpower Forecasting Model of Dalian International Hub Port. Academic Journal of Business & Management (2023) Vol. 5, Issue 26: 172-178. https://doi.org/10.25236/AJBM.2023.052626.

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