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Academic Journal of Computing & Information Science, 2022, 5(6); doi: 10.25236/AJCIS.2022.050604.

Dual-objective Programming Model and Optimization Based on Factor Analysis


Yini Liu, Siyu Wu

Corresponding Author:
Siyu Wu

College of Mathematics and Statistics, Guangxi Normal University, Guangxi, Guilin, 541000, China


In this paper, through the establishment of factor analysis, multiple linear regression, and objective programming models, the optimal task pricing plan is given by analyzing the problem of meeting production requirements. Specifically, by using the R-type factor analysis method, using MATLAB to calculate the selected factor data. Import SPSS to calculate the KMO test, through factor analysis and comprehensive evaluation model, use the formula to calculate the total score of the comprehensive evaluation of suppliers, and select the top 50. In addition, we use the objective programming model to select from 131 companies, so as to obtain the plan with the least loss, the most economical, and meet the production needs of the enterprise. Further, the dual goal programming model is used to obtain the plan with the least loss. The transfer process in the objective planning problem is optimized.


factor analysis, dual objective programming model, objective function, comprehensive evaluation, optimization

Cite This Paper

Yini Liu, Siyu Wu.Dual-objective Programming Model and Optimization Based on Factor Analysis. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 6: 19-24. https://doi.org/10.25236/AJCIS.2022.050604.


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