Academic Journal of Computing & Information Science, 2021, 4(8); doi: 10.25236/AJCIS.2021.040802.
Yuxuan Liao, Zhenhao Huang, Yihe Zhang
School of Control and Computer Engineering, North China Electric Power University, Beijing, 102206, China
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%.
TOPSIS, entropy weight method, Lagrange function, ARIMA model
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.
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