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Research on Dynamic Scheduling Model Based on Priority Decision

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DOI: 10.23977/agrfem.2021.040114 | Downloads: 5 | Views: 554


Liming Chen 1, Lijian Guo 2, He Zhang 3


1 School of management engineering, Qingdao University of technology, Qingdao, Shandong, 266525, China
2 School of civil engineering, Qingdao University of technology, Qingdao, Shandong 266525, China
3 School of information and control engineering, Qingdao University of technology, Qingdao, Shandong, 266525, China

Corresponding Author

Liming Chen


In this paper, an improved optimization model and a matching algorithm based on priority decision are established to gradually optimize the ordering and shipping schemes, so as to achieve the purpose of reducing costs.First of all, topsis comprehensive evaluation model based on entropy weight method is established to determine the index weight, and the ranking of 402 suppliers is carried out. Finally, the top 50 most important suppliers are obtained through index scores.Then, the maximum capacity optimization model is established by constructing capacity threshold and referring to the maximum transshipment volume of the transporter and the supply quantity of the supplier. After calculation, the maximum capacity is 33,240 m³, which is 17.87% higher than the initial capacity.


Priority decision, topsis evaluation, maximum capacity model


Liming Chen, Lijian Guo, He Zhang, Research on Dynamic Scheduling Model Based on Priority Decision. Agricultural & Forestry Economics and Management (2021) Vol. 4: 80-84. DOI:


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[4] Han Zhonggeng (eds.), Mathematical Modeling Method and Its Application, Beijing: Higher Education Press, 2005.

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