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Research on optimal raw material decision for manufacturing enterprises

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DOI: 10.23977/jeis.2021.060207 | Downloads: 9 | Views: 72

Author(s)

Yanhao Zhong 1, Keer Chen 1, Bingqiang Nian 1

Affiliation(s)

1 Hohai University, Changzhou, Jiangsu, 213000

Corresponding Author

Yanhao Zhong

ABSTRACT

This paper deals with the ordering and transportation of raw materials in a building and decorative plate enterprise. Quantitative analysis and analytic hierarchy process and TOPSIS algorithm are used to analyze the relevant materials and information of each supplier[1]. The grey prediction model are used to comprehensively evaluate each supplier and transshipment, and the most economical raw material ordering plan and the transport plan with the least loss are worked out[2]. Research on this issue can improve the efficiency and quality of raw material decision-making of domestic manufacturing enterprises, improve the increasingly fierce market competition environment faced by manufacturing enterprises, and further promote economic development.

KEYWORDS

Quantitative analysis, analytic hierarchy process, TOPSIS algorithm

CITE THIS PAPER

Yanhao Zhong, Keer Chen, Bingqiang Nian. Research on optimal raw material decision for manufacturing enterprises. Journal of Electronics and Information Science (2021) 6: 49-53. DOI: http://dx.doi.org/10.23977/jeis.2021.060207.

REFERENCES

[1] Chen Xiru. Advanced Mathematical Statistics [D]. University of Science and Technology of China Press, 2009. 
[2] Li Hao, LUO Guofu, XIE Qingsheng.  Research on Dynamic Alliance Manufacturing Resource Evaluation Model Based on Application Service Provider [J]. Computer Integrated Manufacturing Systems, 2007(05): 862-868.  
[3] Stephen J.Chapman. MATLAB Programming (4th edition). Science Press.2011-04  
[4] LIU Yong. Research on Raw Material Purchasing Management Mode [D]. Chongqing University, 2010. 

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