Author(s)

Jinqiu Li ¹, Ruobing Qiu ²

Affiliation(s)

¹ School of information and electromechanical engineering, Shanghai Normal University, Shanghai, 200233
² Business school, Shanghai Normal University, Shanghai, 200233

Corresponding Author

Jinqiu Li

ABSTRACT

In this paper, aiming at the planning problem of optimal cost in the process of raw material supply, by establishing a mathematical model based on genetic algorithm to study the optimal ordering scheme and transportation scheme of the actual supply chain planning demand[1], an optimal planning model based on genetic algorithm is proposed[2]. The regression coefficient, supply error rate, fluctuation acceptability and large order proportion are established, and the importance of supplier guarantee enterprise production is evaluated by formula method, and the most important 50 enterprises are solved and screened out. At the same time, the 0-1 programming model with the minimum number of suppliers as the objective function was established, and 127 suppliers were needed to supply at least.

KEYWORDS

Mathematical model, genetic algorithm, optimal decision

CITE THIS PAPER

Jinqiu Li, Ruobing Qiu. Research on raw material ordering and Transportation based on programming model. Agricultural & Forestry Economics and Management (2021) Vol. 4: 60-64. DOI: http://dx.doi.org/10.23977/agrfem.2021.040111.

REFERENCES

[1] Zhu Haoran. Research on supply Chain Cost Control System of A Company [D]. Qingdao University of Science and Technology, 2020.  
[2] Yang Qian, Hu Yanhai.  Optimization of multi-source and multi-cycle purchasing decision based on genetic algorithm [J]. Light industry machinery, 2020, 38(02): 103-107.  
[3] Liao Jilin. Review of supply chain business process performance evaluation [J]. Logistics technology, 2019, 38(02): 88-93.

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