Academic Journal of Computing & Information Science, 2021, 4(8); doi: 10.25236/AJCIS.2021.040802.

## Research on the Optimal Scheme of Raw Material Ordering and Transportation in Production Enterprises

Author(s)

Yuxuan Liao, Zhenhao Huang, Yihe Zhang

Corresponding Author:
Yuxuan Liao
Affiliation(s)

School of Control and Computer Engineering, North China Electric Power University, Beijing, 102206, China

### Abstract

According to the characteristics of data, five indicators are proposed: supply satisfaction, supply quantity, supplier contribution rate, and production frequency and production variance. Then TOPSIS evaluation model is constructed, and entropy weight method is adopted to enhance the discrimination significance of indicators. The 50 most important suppliers are obtained by solving the model. Finally, the supplier selection model is established, and the Lagrange function is constructed under the objective function and constraint conditions, and the supplier and quantity selection results are obtained by greedy algorithm. After analyzing the relationship between transport loss rate and time, the ARIMA model was established for 8 transporters. Based on the obtained data, the greedy algorithm is used to get the transfer scheme. The model results showed that 36 suppliers were needed, and the production satisfaction rate was 100%, the average inventory satisfaction rate was 95%, and the total attrition rate was 0.16%.

### Keywords

TOPSIS, entropy weight method, Lagrange function, ARIMA model

### Cite This Paper

Yuxuan Liao, Zhenhao Huang, Yihe Zhang. Research on the Optimal Scheme of Raw Material Ordering and Transportation in Production Enterprises. Academic Journal of Computing & Information Science (2021), Vol. 4, Issue 8: 5-9. https://doi.org/10.25236/AJCIS.2021.040802.

### References

[1] Li Can, Zhang Fengrong, Zhu Taifeng, Feng Ting, AN Pingli. Land use performance evaluation and correlation analysis based on entropy weight TOPSIS model [J]. Transactions of the Chinese society of agricultural engineering, 2013, 29(05): 217-227.

[2] Sun Bin, Chen Siling, DU Lihui. Prediction of railway freight volume under Extreme Events: Based on ARIMA Model [J]. Journal of east China Jiaotong University: 1-6 [2021-05-02]. HTTP:// https://doi. org/10.16749/j. cnki. Jecjtu. 20210416. 016.

[3] Sensitivity Analysis for a Lagrangian Dual Problem to a Vector Optimization Problem CM (Liao, C. M.) 1 DOI 10. 1007/ S11590-012-0526-0

[4] Yang Di. Application of greedy algorithm in Graph Theory [J]. Mathematical Learning and Research, 2017(05): 146.