ABSTRACT

Zhang, J. and Liu, Y., 2020. Study on estimation method of port container handling cost based on internal analysis. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 979-984. Coconut Creek (Florida), ISSN 0749-0208.

In the port container handling project, it is necessary to construct the mathematical model of the port container handling cost, to realize the overall planning of the port container handling accuracy, and to save the port container loading and unloading expenses. In the traditional mathematical modeling of port container handling cost estimation, the port container loading and unloading cost data sequence is regarded as a group of nonlinear time series by using the forecasting method of uncertain cost fluctuation of port container loading and unloading. The Wolf algorithm is used to forecast the cost of container loading and unloading in the port. The redundant overhead occurs in the cost prediction, and the precision of cost prediction and control is not high. A mathematical modeling and forecasting method based on interval analysis and principal component analysis for port container handling engineering is proposed. The cost of material, labor and machinery per cubic meter is given, the relationship model is analyzed, the cost forecast is carried out by principal component analysis algorithm, the statistical sequence of cost data is constructed, and the optimal cost model is obtained, which is based on time control. Performance control and energy supply, evaluation of reliability index under optimal control, reducing the cost of port container handling engineering and improving the quality of engineering port container loading and unloading. The experimental results show that the model algorithm can improve the accuracy of cost prediction and realize the cost-efficiency-quality balance and optimal ratio of port container loading and unloading engineering more effectively. At the same time, it can reduce the cost and improve the efficiency of container loading and unloading at the same time.

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