Academic Journal of Computing & Information Science, 2021, 4(6); doi: 10.25236/AJCIS.2021.040609.
Xiaoxue Zhang1, Yang Jiang2, Pengbo Qian3
1School of Economics in Anhui University, Hefei, Anhui, 230601, China
2School of Finance in Guangdong University of Foreign Studies, Guangzhou, Guangdong, 510000, China
3School of management, Anhui University, Hefei, Anhui, 230601, China
With the intensification of market competition, the improvement of the efficiency of enterprise logistics supply chain is becoming more and more important to improve the net profit of enterprises. Therefore, it is a research direction of both theoretical significance and practical value to study how to choose the best supplier and make order transportation decision. Therefore, this paper establishes a reasonable supplier selection index system to select the 50 most important suppliers, and first selects 5 secondary indicators and 12 tertiary indicators. Then, based on the Pauta criterion, the abnormal suppliers are excluded by the average supply difference; secondly, this paper uses AHP analytic hierarchy process to weight the second-level index, calculates the comprehensive weight based on three weight calculation methods and uses entropy weight method to weight the third-level index, so as to establish the supplier selection index system; then through the fuzzy comprehensive evaluation model to calculate the score of each supplier, so as to get the top 50 suppliers.
Ordering and transportation, Pauta criterion, Fuzzy comprehensive evaluation model
Xiaoxue Zhang, Yang Jiang, Pengbo Qian. Research on Ordering and Transportation Strategy of Supply Chain Enterprises Based on AHP Analytic Hierarchy Process and Entropy Weight Method. Academic Journal of Computing & Information Science (2021), Vol. 4, Issue 6: 54-58. https://doi.org/10.25236/AJCIS.2021.040609.
[1] Liu Yushu. Optimal decision and contract coordination of supply chain under uncertain demand. Qingdao University, 2013.
[2] Wu Yingzi, Wu Liang, Xiao Wei. Production and ordering decision-making in supply chain under uncertain environment _ Wu Yingzi [J]. Science and Technology Innovation Guide, 2011 (32): 117.
[3] Research on supply chain risk identification and evaluation management _ Zhang Xin [J].
[4] Xu Xinsheng. Research on retailer's optimal ordering problem based on CVaR Criterion in the case of delayed delivery [D]. Zhejiang University of Technology, 2015.
[5] Xiao Juan. Research on supplier selection of government purchase pension service based on fuzzy multi-attribute decision-making model [J]. Reform and opening up, 2021 (13): 51-56.
[6] Su Xudong, Lu Wenxuan. Research on Fuzzy Comprehensive Evaluation of supply chain flexibility based on structural Entropy weight [Su Xudong]. Logistics Science and Technology, 2014, 37 (1): 101105113.