# Study on Algorithm of Statistical Model for Improving Core Competitiveness of Manufacturing Industry Based on Digital Information Technology

Authors: Yanli Zhang; Yin Zhang; Yiyuan Jiang
Journal: Mobile Information Systems
 (2022)

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## Abstract

The aim is to improve the core competitiveness of China’s manufacturing industry, promote the development of digital information technology, break through the difficulties brought by China’s manufacturing industry to the high end, and enhance China’s international influence and comprehensive competitiveness.Method. The construction of the statistical algorithm model of the core competitiveness of the manufacturing industry is improved by using the statistical algorithm of the key points of the core competitiveness of the manufacturing industry. Different comparisons are made between the two groups of algorithms, such as comparing the core competitiveness evaluation results of different types of manufacturing industry and the coupling degree of core competitiveness, statistical model, and economic growth trend of manufacturing industry. The research results show that, under the control of digital information technology, the overall coupling degree of the statistical model is rising and has an obvious increase on the manufacturing economy. We promote the deep integration of digital information, artificial intelligence, and the real economy; realize the industrialization of key technologies in the manufacturing industry; and enhance the core competitiveness of the manufacturing industry. Driven by digital information, China’s manufacturing industry will enter the high-speed development lane, so as to promote the high-quality development of China’s manufacturing industry. It has provided a solid foundation for ensuring the steady and healthy development of people’s economy and promoted the transformation of China from a large manufacturing country to a powerful manufacturing country and from “made in China” to “created in China.”


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## Body

## 1. Introduction

Since China entered the new era, the digital level has been continuously improved. With the continuous deepening of information technology, digital information technology has created more and more value and promoted the development of digital information technology in all walks of life. Under the background of China’s continuous promotion of economic reform, more and more enterprises begin to accelerate the transformation and upgrading. In the development of the digital era, digital industrial upgrading needs to seize the opportunity of current technological upgrading and reform and adopt the industrial upgrading method based on digitization to synchronize the focus of investment and development with the ecological model of digital transformation. Zhang (2022) digital technology is accelerating iteration, integration, and innovation. With the full penetration of data and significant value, the big data industry has ushered in a broader development space [1]. The development process of digital industry is also a process of transmission and spread to all fields of social life through digital technology in the information field.Zhuang (2021) digital information technology is an important product of the development of modern manufacturing industry and plays an important role in the implementation and application of manufacturing industry [2]. With the integration of manufacturing industry and digital information technology and continuous strengthening of reform and development, digital transformation is of great significance in promoting the reform of production mode, operation mode, and business model of manufacturing industry. The upgrading and reform of manufacturing industry has become an important breakthrough of digital information technology. With the deepening of digital information technology, the development level of China’s manufacturing industry is rising, which plays a significant role in increasing China’s status in the international community. Li (2022) manufacturing industry is the foundation of building a country and strengthening the country. Improving the core of manufacturing industry is of great significance to further expand the real economy, promote domestic and international double circulation, and accelerate the construction of modern industrial system. Through the data collection of China’s manufacturing big data, the statistical algorithm of key points of core competitiveness is used to construct the framework diagram of manufacturing core competitiveness improvement algorithm for analysis and evaluation [3]. In the process of promoting the development of China’s manufacturing industry, the use of digital production mode is an important direction of the development of traditional manufacturing industry. Zhongmin (2021) traditional manufacturing industry needs to invest a lot of human and material resources in the management mode, and digital information technology can effectively reform and innovate the production mode of manufacturing industry to realize the rapid adaptation of enterprises to the current development needs [4]. In the era of information digital industry, the development of industry has a far-reaching impact on various industries and also helps to promote the cross integration of traditional industry and digital industry. According to Xiaoyu (2021), the core of manufacturing transformation is the industrial revolution triggered by the new generation of information technology revolution, not just the technological revolution itself. The new generation of information technology represented by the Internet, big data, and artificial intelligence is accelerating the integration with the real economy [5]. In the process of digital transformation, traditional enterprises should pay attention to changing the internal thinking mode of enterprises, attracting and cultivating compound digital talents, and adjusting the internal management structure of the organization, so as to better adapt to the digital transformation of enterprises. In the methodology of enterprise digital industrial upgrading, Yulun (2021) proposed that, in the development of the digital age, we need to seize the opportunity of current technological upgrading and change, always grasp the industrial upgrading methodology based on data drive, and shift the focus of investment and development to and synchronize with the ecological model of digital transformation [6]. With the rapid development, wide range, and increasing impact on society, digital economy is currently reshaping the global economic structure, a key force to change the global competition pattern and an important resource for restructuring the world.


## 2. Development Status of China’s Manufacturing Industry

Zhang mentioned the effects and practices of finance on the development of manufacturing quality [7]. With the development and promotion of manufacturing industry, the per capita GDP also rises. It is the foundation of a country and the foundation of a powerful country. It provides strong support for social and economic development, and manufacturing and economic development are still the focus of efforts in the future [8]. According to Chen Jie (2022), China’s manufacturing industry has been fully developed in various fields. For example, on the railway, compared with the previous green train, the speed is slow, and the carriage environment and passenger capacity are not very optimistic. Now, the rapid development of manufacturing industry has refreshed the understanding of railway. There is not only high-speed railway, but also harmony, which has been improved and developed in all aspects. Improve the development of railway in the transportation industry and make the economy complement each other. With the development of manufacturing industry, the scientific research technology has also been deeply improved. For the development of structural equation model and software, the manufacturing industry has studied and explored its influencing factors [9]. With the rapid development of economy, the people’s quality of life has been continuously improved, and the quality of life is also strict. China’s manufacturing industry has gradually matured and experienced development, thus ushering in the era of service-oriented manufacturing. Yang and Yuanyuan mentioned that public services significantly promote the transformation and upgrading of manufacturing industry and expand the supply of public services as an effective way to promote the transformation and upgrading of manufacturing industry [10]. After years of development, the service content of manufacturing industry to enterprises is now more and more, which is also an obvious manifestation of the development of service industry in recent years. According to Yan, under the new background of manufacturing development, enterprise development needs to enhance the ability of independent innovation, improve the enterprise cultivation system, create a landmark manufacturing cluster, occupy a leading position in the professional market, and improve the core competitiveness and enterprise popularity [11]. The development of manufacturing industry has not only made indelible contributions to China’s economic development but also improved people’s living environment and living standards. Focus on the development of manufacturing industry, expand the integration of manufacturing industry with digital information technology, intelligence and networking to all fields, accelerate the development of China’s manufacturing industry, and improve China's international popularity and recognition.


## 3. Statistical Algorithm of Key Points of Manufacturing Core Competitiveness

The most basic work of manufacturing big data is data acquisition, and data play a key role in the development of digital transformation. The deep integration of digital information technology and manufacturing industry will promote the deeper, wider, and higher level integration of manufacturing intelligence and form a new mode of production, industrial form, and new economic growth point so as to promote the improvement of quality, efficiency, safe production, energy conservation, and consumption reduction of the manufacturing industry. The statistical algorithm analysis of the key points of manufacturing core competitiveness is shown in Figure1.Figure 1
Framework diagram of manufacturing core competitiveness extraction algorithm.In Figure1, it shows the core competitiveness extraction algorithm framework of manufacturing industry. When manufacturing different products, different enterprises use the linear weighted operation mode module (linear space volume) to receive the signal and then output the original data through fuzzy convolution. The data error generated in this process is supplemented by the difference ratio sequence. Finally, more accurate data values are obtained through the linear fuzzy algorithm, which not only improves the product quality of enterprises but also improves the core competitiveness of enterprises.


## 4. Construction of the Statistical Algorithm Model for Improving the Core Competitiveness of the Manufacturing Industry

On the basis of combining the core competitiveness algorithm of manufacturing industry and integrating digital information technology, enterprises can more intuitively understand the background of big data in manufacturing industry, summarize the classification and characteristics of big data in manufacturing industry, and improve the core competitiveness of manufacturing industry. The algorithm framework for improving the core competitiveness of manufacturing industry is shown in Figure2.Figure 2
Framework diagram of manufacturing core competitiveness improvement algorithm.In Figure2, the framework diagram of the algorithm for improving the core competitiveness of the manufacturing industry is constructed. The core competitiveness is recorded through the digital information system for comparative analysis and evaluation. After the coupling analysis of the relevant data, the predicted value of improving the core competitiveness is finally obtained. The application of digital information technology enables enterprises to better understand the core competitiveness of manufacturing industry and has the opportunity to improve their operation methods, help enterprises better allocate resources, and reduce costs, which plays a significant role in improving competitiveness. The wide application of digital information technology provides important data support for promoting product innovation and business model innovation and improves the quality and efficiency of manufacturing development to the greatest extent.


## 5. Simulation Verification

### 5.1. Comparison Results of Coupling Degree of Core Competitiveness of Different Types of Manufacturing Industry

Digital information technology is an important product of the development of modern science and technology. The coupling degree of relevant core competitiveness is compared for different types of manufacturing industries. The coupling degree of core competitiveness of different algorithm systems for the development of different types of manufacturing industries based on digital information technology is compared, as shown in Table1.Table 1
Comparison results of core competitiveness coupling degree of different types of manufacturing industry (%).
Type of manufacturing industryThis algorithm (%)Previous algorithm (%)tpFood manufacturing96.3772.645.3670.035Textile industry97.2171.465.1470.034Furniture manufacturing95.9873.635.2840.041Chemical manufacturing96.3671.235.5230.036Pharmaceutical manufacturing94.5173.345.0170.028Plastic manufacturing97.8169.875.3270.031In Table1, through the comparison data of the coupling degree of different types of manufacturing core competitiveness in the above table, it is obvious that the coupling degree of manufacturing core competitiveness of digital information technology under the application of this algorithm is more than 20% higher than the coupling degree of manufacturing core competitiveness applied by the previous algorithm, and the integration effect of mutual coupling degree between related manufacturing industries is also relatively good, which is conducive to the later development of manufacturing industry.According to the comparison results of the coupling degree data of related types of manufacturing core competitiveness under two different algorithms, Figure3 is obtained.Figure 3
Visualization of comparison results of coupling degree of core competitiveness of different types of manufacturing industry (%).Figure3 shows the data comparison of the coupling degree of the core competitiveness development of various manufacturing industries under the application of the previous algorithm and this algorithm. It is considered that the coupling degree of the core competitiveness of the manufacturing industry using the digital information technology under this algorithm is higher than the coupling degree of the core competitiveness of the manufacturing industry applied by the previous algorithm, which can better promote the core development of the manufacturing industry and the economic progress of the manufacturing industry and the stable development of society.


### 5.2. Evaluation Results of Core Competitiveness of Two Groups of Algorithm Statistical Models

Through the comparison of the coupling degree of different types of manufacturing core competitiveness under digital information technology, the results show that the coupling degree of manufacturing core competitiveness of digital information technology is higher than that of the previous algorithm. According to the comparison results of coupling degree, the core competitiveness of the two groups of algorithm statistical models is evaluated and analyzed, as shown in Table2.Table 2
Data table of core competitiveness evaluation results of two groups of algorithm statistical models (%).
Classification of core competitivenessThis algorithm (%)Previous algorithm (%)tpScale competitiveness96.3763.586.3540.041Innovative scientific and technological power95.6965.536.1570.038Benefit competitiveness97.6866.516.2590.037Market competitiveness96.7565.876.3570.032Knowledge output95.4763.616.3970.046Achievement transformation97.7169.816.5870.031Table2 shows the comparison of the core competitiveness of the relevant manufacturing industry development under the application of the two groups of algorithms in terms of scale competitiveness, innovation and technology, benefit competitiveness, market competitiveness, knowledge output, and achievement transformation. From the comparison results, it can be clearly seen that the competitiveness of many aspects in the development of the manufacturing industry integrated with the application of this algorithm is much higher than the development effect of the core competitiveness of the previous manufacturing industry using the previous algorithm. The core competitiveness of the manufacturing industry using this algorithm is improved by more than 20%–30% on average compared with the previous algorithm. From this data, it can be seen that the core competitiveness of this algorithm can better promote the development process of China’s manufacturing industry and better promote the economic progress and social development of China’s manufacturing industry.In order to more intuitively evaluate the energy efficiency of the manufacturing industry of digital information technology under the two groups of algorithms, the core competitiveness comparison data of statistical models under different algorithms are visualized, and Figure4 is obtained.Figure 4
Visualization of core competitiveness evaluation results of two groups of algorithm statistical models (%).Figure4 shows the visualization of the evaluation results of the core competitiveness of the previous algorithm and this algorithm, which can more intuitively show the comparison of the core competitiveness of different aspects in the development process of the manufacturing industry using this algorithm, and indirectly illustrates that the development scale, technology, and development effect of the manufacturing industry under this algorithm are more conducive to the development of the current digital information technology manufacturing industry. It can also better improve the core competitiveness potential of manufacturing industry under digital information technology.


### 5.3. Economic Growth Trend of the Manufacturing Industry Based on Two Sets of Algorithms

In order to better observe and study the effect of the previous algorithm and the application of this algorithm on the core competitiveness in the development process of relevant manufacturing industries and the economic growth trend and related impact in the core development of manufacturing industries and compare the application of the previous algorithm and this algorithm in the relevant manufacturing industries from 2017 to 2021, statistical analysis is carried out on the data of economic core development competitiveness of various manufacturing industries in different years as shown in Table3.Table 3
Data table of manufacturing economic growth trend of two groups of algorithms (%).
YearThis algorithm (%)Previous algorithm (%)tp201721.247.647.6940.043201826.519.927.5240.042201933.6513.697.2160.038202039.2818.187.2310.035202146.1822.676.9580.041Table3 shows the comparison of the development economic benefits of different manufacturing industries using the previous algorithm from 2017 to 2021. It can be clearly seen that the economic growth trend of the manufacturing industry using this algorithm has increased significantly compared with the previous economic growth of the manufacturing industry under the previous algorithm, and the gap of the economic growth trend becomes more and more obvious with the increase of years.According to the data results in Table3, the trend of manufacturing economic growth with different algorithms is visualized, and Figure 5 is obtained.Figure 5
Visual table of manufacturing economic growth trend of two groups of algorithms (%).Figure5 shows the comparison of the economic growth trend of digital information technology manufacturing industry under two different algorithms. It can be seen from Figure 5 that the previous algorithm and this algorithm have a certain impact on the economic growth trend of digital information technology manufacturing industry, but the economic benefit development of digital information technology manufacturing industry with this algorithm will be faster than that of manufacturing industry under the previous algorithm. The growth trend is more obvious. It is considered that the application of this algorithm can better promote the development of the core competitiveness of digital information technology manufacturing industry, so as to improve the overall economic growth of manufacturing industry under different types and improve the economic benefit growth of society.


## 5.1. Comparison Results of Coupling Degree of Core Competitiveness of Different Types of Manufacturing Industry

Digital information technology is an important product of the development of modern science and technology. The coupling degree of relevant core competitiveness is compared for different types of manufacturing industries. The coupling degree of core competitiveness of different algorithm systems for the development of different types of manufacturing industries based on digital information technology is compared, as shown in Table1.Table 1
Comparison results of core competitiveness coupling degree of different types of manufacturing industry (%).
Type of manufacturing industryThis algorithm (%)Previous algorithm (%)tpFood manufacturing96.3772.645.3670.035Textile industry97.2171.465.1470.034Furniture manufacturing95.9873.635.2840.041Chemical manufacturing96.3671.235.5230.036Pharmaceutical manufacturing94.5173.345.0170.028Plastic manufacturing97.8169.875.3270.031In Table1, through the comparison data of the coupling degree of different types of manufacturing core competitiveness in the above table, it is obvious that the coupling degree of manufacturing core competitiveness of digital information technology under the application of this algorithm is more than 20% higher than the coupling degree of manufacturing core competitiveness applied by the previous algorithm, and the integration effect of mutual coupling degree between related manufacturing industries is also relatively good, which is conducive to the later development of manufacturing industry.According to the comparison results of the coupling degree data of related types of manufacturing core competitiveness under two different algorithms, Figure3 is obtained.Figure 3
Visualization of comparison results of coupling degree of core competitiveness of different types of manufacturing industry (%).Figure3 shows the data comparison of the coupling degree of the core competitiveness development of various manufacturing industries under the application of the previous algorithm and this algorithm. It is considered that the coupling degree of the core competitiveness of the manufacturing industry using the digital information technology under this algorithm is higher than the coupling degree of the core competitiveness of the manufacturing industry applied by the previous algorithm, which can better promote the core development of the manufacturing industry and the economic progress of the manufacturing industry and the stable development of society.


## 5.2. Evaluation Results of Core Competitiveness of Two Groups of Algorithm Statistical Models

Through the comparison of the coupling degree of different types of manufacturing core competitiveness under digital information technology, the results show that the coupling degree of manufacturing core competitiveness of digital information technology is higher than that of the previous algorithm. According to the comparison results of coupling degree, the core competitiveness of the two groups of algorithm statistical models is evaluated and analyzed, as shown in Table2.Table 2
Data table of core competitiveness evaluation results of two groups of algorithm statistical models (%).
Classification of core competitivenessThis algorithm (%)Previous algorithm (%)tpScale competitiveness96.3763.586.3540.041Innovative scientific and technological power95.6965.536.1570.038Benefit competitiveness97.6866.516.2590.037Market competitiveness96.7565.876.3570.032Knowledge output95.4763.616.3970.046Achievement transformation97.7169.816.5870.031Table2 shows the comparison of the core competitiveness of the relevant manufacturing industry development under the application of the two groups of algorithms in terms of scale competitiveness, innovation and technology, benefit competitiveness, market competitiveness, knowledge output, and achievement transformation. From the comparison results, it can be clearly seen that the competitiveness of many aspects in the development of the manufacturing industry integrated with the application of this algorithm is much higher than the development effect of the core competitiveness of the previous manufacturing industry using the previous algorithm. The core competitiveness of the manufacturing industry using this algorithm is improved by more than 20%–30% on average compared with the previous algorithm. From this data, it can be seen that the core competitiveness of this algorithm can better promote the development process of China’s manufacturing industry and better promote the economic progress and social development of China’s manufacturing industry.In order to more intuitively evaluate the energy efficiency of the manufacturing industry of digital information technology under the two groups of algorithms, the core competitiveness comparison data of statistical models under different algorithms are visualized, and Figure4 is obtained.Figure 4
Visualization of core competitiveness evaluation results of two groups of algorithm statistical models (%).Figure4 shows the visualization of the evaluation results of the core competitiveness of the previous algorithm and this algorithm, which can more intuitively show the comparison of the core competitiveness of different aspects in the development process of the manufacturing industry using this algorithm, and indirectly illustrates that the development scale, technology, and development effect of the manufacturing industry under this algorithm are more conducive to the development of the current digital information technology manufacturing industry. It can also better improve the core competitiveness potential of manufacturing industry under digital information technology.


## 5.3. Economic Growth Trend of the Manufacturing Industry Based on Two Sets of Algorithms

In order to better observe and study the effect of the previous algorithm and the application of this algorithm on the core competitiveness in the development process of relevant manufacturing industries and the economic growth trend and related impact in the core development of manufacturing industries and compare the application of the previous algorithm and this algorithm in the relevant manufacturing industries from 2017 to 2021, statistical analysis is carried out on the data of economic core development competitiveness of various manufacturing industries in different years as shown in Table3.Table 3
Data table of manufacturing economic growth trend of two groups of algorithms (%).
YearThis algorithm (%)Previous algorithm (%)tp201721.247.647.6940.043201826.519.927.5240.042201933.6513.697.2160.038202039.2818.187.2310.035202146.1822.676.9580.041Table3 shows the comparison of the development economic benefits of different manufacturing industries using the previous algorithm from 2017 to 2021. It can be clearly seen that the economic growth trend of the manufacturing industry using this algorithm has increased significantly compared with the previous economic growth of the manufacturing industry under the previous algorithm, and the gap of the economic growth trend becomes more and more obvious with the increase of years.According to the data results in Table3, the trend of manufacturing economic growth with different algorithms is visualized, and Figure 5 is obtained.Figure 5
Visual table of manufacturing economic growth trend of two groups of algorithms (%).Figure5 shows the comparison of the economic growth trend of digital information technology manufacturing industry under two different algorithms. It can be seen from Figure 5 that the previous algorithm and this algorithm have a certain impact on the economic growth trend of digital information technology manufacturing industry, but the economic benefit development of digital information technology manufacturing industry with this algorithm will be faster than that of manufacturing industry under the previous algorithm. The growth trend is more obvious. It is considered that the application of this algorithm can better promote the development of the core competitiveness of digital information technology manufacturing industry, so as to improve the overall economic growth of manufacturing industry under different types and improve the economic benefit growth of society.


## 6. Discussion

With the rapid development of society and the vigorous development of various manufacturing industries, their competitiveness is also increasing day by day. There are many types of manufacturing industry, and there are many classifications of core competitiveness. In order to get more accurate calculation results, the algorithm will have a more comprehensive and real-time understanding of the core competitiveness of each manufacturing industry. Xiao Yaqing made an in-depth analysis on how to improve the core competitiveness of China’s manufacturing industry, which provided powerful guidance for the classification and statistics of all aspects of the algorithm [12]. Starting from the current situation of China’s manufacturing industry, this paper constructs a digital promotion algorithm for the core competitiveness of China’s manufacturing industry, so that it can continuously enhance the core competitiveness of the manufacturing industry in all aspects and adapt it to the rapid development of society. Based on the experience of China’s manufacturing industry, Wu (2022) studied the impact of digitization on the competitiveness of global value chain. The research results show that digitization plays an increasing role in the core competitiveness of China’s manufacturing industry during the sample investigation [13]. The coupling degree of different types of manufacturing core competitiveness obtained by using the improved digital algorithm will be more accurate, and the economic growth trend will also increase relatively, which will produce remarkable results in improving the core competitiveness of manufacturing industry. Promote the digital algorithm of manufacturing industry and improve the core competitiveness. With the new round of industrial revolution and the rise of a new generation of information technology, the use of digital algorithms and intelligence provides a new path for the transformation of manufacturing industry and improves its core competitiveness. Specifically, it is mainly manifested in the process of digitization, automation, networking, integration, and informatization of manufacturing industry, that is, artificial intelligence, robot ,and digital manufacturing technology are continuously integrated into all links of product production and sales, and the economic benefits and competitiveness of enterprises and the efficiency of resource allocation of the whole chain are improved by reshaping the R&D, design, production, organization, service, profitability, and innovation mode of traditional manufacturing industry. Give new connotation to the development of traditional industries.


## 7. Summary

According to the development status of China’s manufacturing industry, this study analyzes and studies the algorithm of the statistical model of manufacturing core competitiveness integrated with digital information technology and makes different comparisons between the two groups of algorithms, such as comparing the core competitiveness evaluation results of different types of manufacturing core competitiveness coupling and statistical model. Digital information technology has significantly improved the statistical model and algorithm of manufacturing core competitiveness. Under the control of digital information technology, the overall coupling degree of statistical model is on the rise, and it has an obvious increase on the manufacturing economy. Promote the deep integration of digital information, artificial intelligence, and the real economy; realize the industrialization of key technologies in the manufacturing industry; and enhance the core competitiveness of the manufacturing industry. Manufacturing industry is the foundation of building a country and strengthening the country. Only by effectively improving the core competitiveness of manufacturing industry, can we better promote the rapid development of market economy and enhance China’s economic strength. Driven by digital information, China’s manufacturing industry will enter the high-speed development lane, so as to promote the high-quality development of China’s manufacturing industry and provide a solid foundation for ensuring the stable and healthy development of people’s economy. It has promoted China’s transformation from a large manufacturing country to a powerful manufacturing country and from “made in China” to “created in China,” so as to contribute to the realization of the Chinese dream of national rejuvenation.



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