Solutions to the Site Selection of MNCs based on Language Research

Huixian Yong

School of Management, Northeastern University at Qinhuangdao, Qinhuangdao, 066004, China

Abstract: Our team had completed the required research and analysis of trends in development of the global languages, and then we had solved the questions of the number and location of the site selection of interna-tional offices for multinational companies. On one hand, using the GM-BPANN combinatorial model, the trend of the number of users in the ten major languages given in the topic was predicted. Based on this, the number of users in different languages over time was described. On the other hand, considering the multiple factors, we selected 12 alternative locations; the PCA-TOPSIS model was then used to calculate the relative closeness degree of the 12 candidates addresses and sorted out the 6 cities that were ranked at the top. That was the location of establishing global offices. They are in Mexico City, Istanbul, Paris, Bangkok, Tokyo and Melbourne. They use Spanish, Turkish, French, Thai, Japanese, Chinese. Finally, we conducted a sensitivity analysis of these models to verify the robustness and stability of the models.

Keywords: GM-BPNN model; TOPSIS model; Multi-objective programming; Population migration algorithm based on ANN