Abstract
An enterprise must be able to conduct in-depth analysis of the existing data as the information has certain grey characteristics, if it wants to occupy a dominant position in the fierce market competition. In this paper, a compound three-dimensional grey Lotka–Volterra model is developed to carry out the grey transformation of the original data, so that the data can have better simulation accuracy, and the observation noise of the original data can be reduced. The competitive situation analysis based on the three-dimensional grey Lotka–Volterra model can help enterprises better understand the market situation. This paper takes the luxury brand automobile market in mainland China as an example to conduct a competitive analysis and a balanced development simulation. It can be found that, based on Three Species System Analysis, there is a symbiotic relationship among automobile enterprises and that the three species model can be adopted in analyzing the competition and cooperation among enterprises. Through balanced development of a Symbiotic System Analysis, the results of symbiotic optimization under the achievable equilibrium state of three populations are obtained and they show that the proposed method can be used effectively to conduct the market competition analysis. It is thus of great importance to study the relationships among enterprises as it is helpful for enterprises to make strategic policies.
Highlights
After the 1990s, the process of economic globalization has been accelerated significantly. e globalization of automobile industry, one of the leading and typically global industries, is mainly reflected with two distinct and interrelated characteristics
In order to make up for the defects of the current research, the research objectives of this paper are as follows: (1) a more accurate grey time series model is constructed for data transformation or prediction; (2) three species grey Lotka–Volterra model is used to analyze the competition of grey time series data; (3) a competitive and equilibrium analysis is made taking three brands of cars in China’s luxury car market as an example; and (4) the accuracy of grey time series model and the robustness of the three species grey Lotka–Volterra model are verified based on case data
In order to analyze the relationship between the variables in economic system and improve the performance of GM (1, 1) prediction, the three-dimensional grey Lotka–Volterra system is presented. e empirical results indicate that the numerical aspects of the grey transformation effect of the three-dimensional grey Lotka–Volterra’s mean absolute percentage error (MAPE) values are highly accurate
Summary
After the 1990s, the process of economic globalization has been accelerated significantly. e globalization of automobile industry, one of the leading and typically global industries, is mainly reflected with two distinct and interrelated characteristics. E globalization of automobile industry, one of the leading and typically global industries, is mainly reflected with two distinct and interrelated characteristics. First is the automobile industry chain, including investment, production, procurement, sales, after-sales service, R&D, and other major links of the increasingly global allocation. Is leads to the emergence of new specialized divisions of labor cooperation mode, especially the separation trend between vehicle assembly and parts manufacturers. More and more multinational companies are involved in manufacturing of parts. E network organization structure between parts manufacturers and vehicle assembly companies with contracts as the link is becoming increasingly apparent. Since the 1990s, due to the global excess of automobile production capacity and the increasingly strict regulations on safety, emission, and energy conservation, the pace of global industrial structure adjustment in automobile industry has been accelerated significantly.
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