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Academic Journal of Mathematical Sciences, 2022, 3(2); doi: 10.25236/AJMS.2022.030203.

Research on Enterprise Order and Transshipment Strategy Based on Factor Analysis and Dynamic Programming


Pengbo Wang, Jingping Cao, Xingyu Liu, Zhengyue Wang, Yuxin Wei

Corresponding Author:
Pengbo Wang

Liaoning Technical University, Huludao, 125105, China


The research on ordering and transportation strategy optimization of raw materials has a profound impact on the development of enterprises. Based on factor analysis and dynamic programming method, this paper reasonably formulates raw material ordering and transshipment optimization strategy. Due to the uneven quality of each supplier, transporters transport loss rate is not the same. For enterprises, how to formulate the most economical raw material ordering plan and the least loss transshipment plan has become a key issue to be solved. In this paper, a dynamic programming model and a 0-1 programming model are established to solve the problem of enterprise transshipment ordering scheme under different needs.


Factor analysis, Dynamic programming, Transport loss, Transport strategy

Cite This Paper

Pengbo Wang, Jingping Cao, Xingyu Liu, Zhengyue Wang, Yuxin Wei. Research on Enterprise Order and Transshipment Strategy Based on Factor Analysis and Dynamic Programming. Academic Journal of Mathematical Sciences (2022) Vol. 3, Issue 2: 13-21. https://doi.org/10.25236/AJMS.2022.030203.


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