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| Evaluation and Optimization of Digital Transformation Capability of Manufacturing Based on Order Parameter-TOPSIS Method |
| Wen Xin1,Chen Junhong1,Yin Yanna2 |
| (1.School of Management,Shenyang University of Technology, Shenyang 110870, China;2. School of Economics and Management, Shenyang University of Chemical Technology, Shenyang110142, China) |
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Abstract Digitalization is leading the manufacturing industry transformation, quality transformation and efficiency transformation, and accelerating the digital transformation of the manufacturing industry. In theory, domestic and foreign scholars' research on the digital transformation of manufacturing industry mainly focuses on three aspects: the integration mechanism of digital economy and manufacturing industry, evaluation on digital transformation development of manufacturing, and the path and countermeasures of digital transformation of manufacturing industry. There are some attempts and explorations in the digital transformation of the manufacturing industry in the relevant research results at home and abroad, and they have laid a certain foundation for the follow-up research. The evaluation and regulation of the digital transformation of the manufacturing industry in theory and practice still need further exploration. Only a few studies focus on the digital transformation process of the manufacturing industry from the perspective of collaborative process to explore the connotation, identification and evaluation of the digital transformation capabilities of the manufacturing industry. Therefore, it directly determines the process and future development of manufacturing digitalization whether the digital transformation status and level of the manufacturing industry can be effectively identified and regulated.#br#In terms of theoretical Construction, on the basis of defining the connotation of manufacturing digital transformation capabilities, this study uses Citespace literature analysis software to analyze 462 related research literature on manufacturing digital transformation. According to the analysis results,the characteristics of manufacturing digital transformation capabilities and formation mechanism can be summarized. At the same time, by introducing the theory of synergy and applying the principle of order parameters, the digital transformation capability identification index system is finally constructed from four aspects: digital support capability, digital innovation capability, digital application capability and sustainable development capability. In addition, by combining the order parameter identification method based on the target planning evaluation model with the TOPSIS method, a capability identification and evaluation method that can highlight the advantages of the main body of the manufacturing industry and the leading factors in the process of digital transformation is proposed, and the objective state and relative level of digital transformation of manufacturing industry are judged. The study further identifies the TOPSIS ranking of the samples under the individual order parameters, democratic order parameters, and dominant order parameters.Furthmore it puts forward the optimization strategy for the digital transformation capability of the manufacturing industry in 8 cases, and can provide the manufacturing industry with the appropriate strategies of digital transformation.#br#In practical application, the digital transformation capability of the manufacturing industry is a key factor to orderly promoting the digital upgrading of the manufacturing industry. Effective identification and analysis of the digital transformation capability are conducive to grasping the key links of the digital transformation and upgrading of the manufacturing industry, and then help to improve the efficiency and effect of the digital transformation of the manufacturing industry. This paper selects the data in the practice of manufacturing digital transformation in 30 regions of China for actual calculation, and finds that the manufacturing digital transformation capability of China is in the growth period and it is related to the level of economic development. The manufacturing digital transformation capability of regions with high economic levels is strong, and the advantages of economically underdeveloped regions are reflected in the sustainable development ability. According to the calculation results and the optimization strategies, the corresponding optimization strategies for different regions in China can be obtained. For example, the advantages of Hunan, Ningxia and Jilin are reflected in the dimension of digital innovation capability, from which other provinces and cities can learn. Finally, the countermeasures and suggestions for digital transformation are put forward from the aspects of strategic planning and transformation model, which can provide decision-making reference for the government departments and enterprises in relevant industries.#br#
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Received: 05 May 2022
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