Evaluation Model of Enterprise Production Importance Based on Analytic Hierarchy Process and TOPSIS Entropy Method
DOI: 10.23977/infse.2021.020207 | Downloads: 8 | Views: 821
Author(s)
Jingyu Wang 1, Lufang Zhang 2, Yuean Chen 2, Junliu Zhu 2
Affiliation(s)
1 School of Economics and Management, Beijing University of Chemical Technology, Beijing, 102202, China
2 School of Computer Science, South China Normal University, Guangzhou, 510631, China
Corresponding Author
Jingyu WangABSTRACT
The ordering of raw materials is an important link in the supply chain management of production enterprises. Using the order quantity and supply quantity data of 402 raw material suppliers, this paper first constructs an evaluation model reflecting the importance of ensuring enterprise production by using analytic hierarchy process, and gives weight 10 times on this basis, so as to increase the objectivity of weight giving in analytic hierarchy process. Then TOPSIS entropy method is used to process these 10 results to form an evaluation model reflecting the importance of ensuring enterprise production. Finally, 50 most important suppliers are selected according to the results.
KEYWORDS
Analytic Hierarchy Process, TOPSIS Entropy Method, Evaluation ModelCITE THIS PAPER
Jingyu Wang, Lufang Zhang, Yuean Chen, Junliu Zhu, Evaluation Model of Enterprise Production Importance Based on Analytic Hierarchy Process and TOPSIS Entropy Method. Information Systems and Economics (2021) 2: 34-37. DOI: http://dx.doi.org/10.23977/infse.2021.020207.
REFERENCES
[1] Wang BINGTUAN. Concise course of mathematical modeling. Beijing: Tsinghua University Press; Beijing Jiaotong University Press, 2012-2.
[2] Zhao Dejin, Li Dongyang, Pu Chengdao, Wang Dechao. Research on reliability evaluation of machining center based on AHP entropy weight extension theory [J]. Manufacturing technology and machine tools, 2021 (11): 114-119 + 126.
[3] Li Feiya, Zhang Yubi, Wang Shengjiao. Construction of budget performance evaluation index system of technical universities based on analytic hierarchy process [J]. China Agricultural Accounting, 2021 (11): 22-24.
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