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Objective To investigate the situation and influencing factors of job burnout among manufacturing employees in Guangdong Province and analyze the relationship between occupational stress, psychological capital, and job burnout. Methods In September 2020, a cross -sectional survey was conducted among 1 437 employees in four manufacturing enterprises in Guangdong Province using a convenient sampling method. The questionnaires of the Core Occupational Stress Scale, the Psychological Capital Questionnaire, and the Maslach Burnout Inventory-General Survey were used to investigate their occupational stress, psychological capital, and job burnout. The multiple linear regression analysis method was used to analyze the influencing factors of job burnout and the mediating role of psychological capital in occupational stress and job burnout. Results The rate of job burnout among these manufacturing employees in Guangdong Province was 60.4% (868/1 437). There was a positive correlation between job burnout and occupational stress (r = 0.568, P < 0.001) and a negative correlation with psychological capital (r = -0.339, P < 0.001); occupational stress was negatively correlated with psychological capital (r = -0.250, P < 0.001). Psychological capital played a partial mediating role between occupational stress and job burnout. The results of multiple linear regression analysis showed that the average score of job burnout increased by 0.083 points for each point increase in occupational stress; the average score of job burnout decreased by 0.267 points for each point increase in psychological capital (P < 0.001). Conclusions The manufacturing employees in Guangdong Province had a high prevalence of job burnout. Occupational stress could directly affect job burnout and indirectly affect job burnout through psychological capital. Effective interventions should be implemented to reduce the level of occupational stress or improving the psychological capital of manufacturing workers to reduce the risk of job burnout. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Technology Economics is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Based on the analysis of the spatial and temporal patterns of Taiwan's Direct Investment (TDI) in manufacturing from 2009 to 2021, a panel regression model was established to explore the impact of important external events on the location choice of TDI in manufacturing industry and different sub-sectors of manufacturing industry. The results show that: (1) From 2009 to 2021, the amount of TDI in manufacturing industry showed a state of mutual growth and decline between investment in the Chinese mainland and outside the Chinese mainland. For the industry type, the state of mutual growth and decline of TDI in technology-intensive industries was the most prominent. TDI in manufacturing industry with the Chinese mainland as the core of the regional characteristics of investment gradually weakened,and technology-intensive and labor-intensive manufacturing industries have the most obvious trend of regional transfer. (2) The impact of Sino-US trade friction on the amount of TDI in manufacturing industry is significant,the impact of Sino-US trade friction on location choice of TDI in manufacturing industry is not significant. The "New Southbound Policy" has a promotion effect on TDI in manufacturing to "New Southbound" countries. The COVID-19 pandemic has no significant impact on the location choice of TDI in manufacturing. Market size, labor cost, technological level, trade openness and distance are still important factors influencing the location choice of TDI in manufacturing industry. [ABSTRACT FROM AUTHOR]

Copyright of Electric Power is the property of Electric Power Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Since the 21st century, the share of service businesses in the total income of the manufacturing industry has experienced a notable increase, marking a significant trend towards the servitization of manufacturing. This transition has emerged as a pivotal direction for global manufacturing. While existing literature extensively examines servitization within closed market environments, there remains a dearth of research addressing its performance within an open global economic system. Consequently, this study delves into the impact of import competition on manufacturing servitization from the perspective of international trade. To undertake this investigation, the study leverages datasets from the CSMAR Database, the cninfo Information Network, the United Nations Commodity Trade Database (UN Comtrade), and the China Industrial Statistics Yearbook. Drawing upon existing literature characterizing servitization-related indicators and examining firms' servitization triggers, this paper analyzes the effects of import shocks on various facets of servitization. Empirical findings indicate several key points. First, the servitization of Chinese firms correlates positively with the level of import competition within their respective industries, with regression results demonstrating robustness after addressing endogeneity concerns. Second, while servitization contributes to increased revenues for manufacturing firms--showing an average revenue increase of 2.25% for every 10% rise in servitization--it fails to shield these firms from the revenue impacts of import competition. Third, the pursuit of customeroriented servitization exacerbates the negative impact of import competition on manufacturing revenues, whereas no significant effect is observed for firms pursuing product-oriented servitization. Relative to existing studies, this paper offers several contributions. First, it contextualizes the service-oriented behavior of manufacturing enterprises within the framework of foreign trade openness, elucidating the emergence of the "servitization paradox" through the lens of international trade. Second, it distinguishes between the extensive and intensive boundaries of enterprise service-oriented strategies, examining how import competition affects the involvement in service-oriented enterprises and refining the manifestations of servitization. Third, it categorizes the motives driving servitization into two types--achieving economies of scale and capitalizing on main business externalities--and investigates whether firms undertake servitization as a proactive choice or as a defensive strategy against competition, thereby assessing whether manufacturing servitization represents a transitional phase in China's industrial transformation and upgrading process. This study sheds light on the underlying dynamics of manufacturing enterprise transformation towards servitization within the context of international trade, offering valuable insights for strategic decision-making amidst competitive import pressures. Additionally, it informs government efforts to adjust China's industrial structure, thereby fostering the development of its manufacturing sector. [ABSTRACT FROM AUTHOR]

In order to investigate the correlation between digital economy and green total factor productivity of manufacturing industry in the Yellow River Basin, a spatial econometric model and a panel threshold model were constructed. Based on the panel data of 73 prefecture-level cities in the Yellow River Basin from 2011 to 2020, the direct effects, spatial spillover effects and threshold characteristics of digital economy on green total factor productivity of manufacturing industry in the Yellow River Basin were explored. The results of the empirical analysis show that a) digital economy is not only conducive to improving the green total factor productivity of local manufacturing industry, but also promotes the improvement of green total factor productivity of manufacturing industry in neighboring areas through the spatial spillover effect; b) The direct effect of digital economy on the green total factor productivity of manufacturing industry in the Yellow River Basin is significant in the middle and lower reaches of the Yellow River Basin, and the spatial spillover effect is significant only in the lower reaches of the Yellow River Basin; c) The promotion effect of digital economy on green total factor productivity of manufacturing industry in the Yellow River Basin is non-linear with marginal increase; d) Knowledge accumulation level will significantly enhance the promoting effect of digital economy on the green total factor productivity of manufacturing industry in the Yellow River Basin, especially when the knowledge accumulation level is higher than the threshold value, the impact of digital economy on the green total factor productivity of manufacturing industry will be greatly increased. [ABSTRACT FROM AUTHOR]

Manufacturing is an important pillar industry of our country's economy and the key area to achieve high-quality development. The improvement of the competitiveness of manufacturing enterprises is not only related to the process of industrial transformation and upgrading, but also determines the process of the manufacturing industries' products transformation from the low added value to the high added value. It also affects the market and consumers' demand for high-quality, high-value products and services. The competitiveness of manufacturing is also the key force that drives the change of economy from “quantitative” to “qualitative”. However, the effective deepening of division of labor and strong market competitiveness of manufacturing enterprises cannot be separated from the support of a good regional institutional environment. As an important resource for innovation and development, intellectual property rights are not only related to the core competitiveness of enterprises, but also related to the country's scientific and technological innovation and international competitiveness. Therefore, intellectual property protection can not only provide a reliable protection mechanism for enterprise technological innovation and protect their unique technology and knowledge from infringement, but also promote the commercialize transformation and realization of innovation, enable the faster promotion and application of innovation results, in order to provide protection with the enterprises' market competition. While promoting the high-quality development of the manufacturing industry based on the enterprise-oriented and market-oriented, exploring the market competitiveness of enterprises in the manufacturing industry under the background of intellectual property protection will contribute to accelerating the process of China's “manufacturing power”. This article uses data from the listed manufacturing companies of China's Shanghai and Shenzhen A-share from 2009 to 2020 to calculate the market competitiveness of the companies. Then based on the quasi-experimental background of the policy of China's intellectual property demonstration city, and a triple-difference model is used to examine the relationship between intellectual property protection strategies and the market competitiveness of enterprises in the manufacturing industry. Empirical research findings show that the impact of the establishment of intellectual property demonstration cities on the competitiveness of enterprises in the manufacturing industry varies due to industry differences. The competitiveness of the high-tech industries has been further improved compared with the traditional industries, and the regression results still remain robust even after passing a series of robustness tests. Moreover, in terms of the impact of the establishment of intellectual property demonstration cities on the market competitiveness of different manufacturing companies, enterprises have different effects in terms of characteristics such as equity concentration, ownership, and scale. Further analysis shows that intellectual property demonstration city policies can promote differentiated changes in the market competitiveness of different manufacturing industries by easing financing constraints, affecting operating costs, and improving key technology innovation capabilities. Compared with previous literature, this article may have the following marginal contributions. Firstly, this article not only focuses on the impact of intellectual property protection behind innovation on the competitiveness of manufacturing companies. At the same time, it explores the relationship between the intellectual property protection system and the market competitiveness of enterprises in different manufacturing industries, enriching the relevant research on the relationship between intellectual property and high-quality development of manufacturing industries. Secondly, it analyzes the relationship between intellectual property protection and corporate market competitiveness from different manufacturing industry perspectives. Thirdly, from the perspective of intellectual property system supply, the internal mechanism of government system supply affecting the market competitiveness of enterprises in different manufacturing industries is explored. The conclusions of this article can provide useful countermeasures and inspirations for strengthening intellectual property protection, cultivating enterprises with intellectual property competitiveness, and improving the market competitiveness of China's manufacturing industry. [ABSTRACT FROM AUTHOR]

Copyright of China Forest Products Industry is the property of China Forest Products Industry Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Nanchang University (Engineering & Technology) is the property of Nanchang University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Technology Economics is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Soochow University Philosophy & Social Sciences Edition is the property of Soochow University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Technology Economics is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the adjustment and upgrading of global industrial value chain, how a country can effectively enhance its position and role in the global value chain in its inherent state becomes the key to economic development. As a fundamental industry for the development of energy economy, it is important to improve its industrial foundation capacity and risk management level. The manufacturing production risk was studied from the perspective of multi-value chain synergy. A simulated spatial digital elevation model was established to analyze the multidimensional influencing factors affecting manufacturing production risk. The manufacturing production risk decision objectives and constraints of multi-value chain synergy were set. The manufacturing production risk decision model was developed to propose effective risk management strategies for manufacturing production operations. The research results show that only by ensuring that the production scale is within a reasonable range can the risk of each link of the multi-value chain be reduced collaboratively, so as to effectively control the overall manufacturing production risk level. [ABSTRACT FROM AUTHOR]

The application of multi-agent based supply chain network in the industry has become more and more in-depth. In order to study its application in the manufacturing industry, first of all, the most classical application and the latest research progress were studied, and the supply chain network was divided into three levels: the top supply chain, the middle supply chain and the bottom supply chain. It has been verified that cloud computing, big data, blockchain and other new technologies can enhance the role of multiagent. Secondly, the application of multi-agent at different levels in the supply chain network was discussed, mainly including how to choose a better partner in the top supply chain network, and the interaction mode of the inter-network composed of agents in the middle supply chain network. For the bottom supply chain network, based on the case of Boeing, the precise decision-making can be achieved with the assistance of artificial intelligence scientists. In a word, multi-agent has a good application prospect in the supply chain network of aviation equipment manufacturing industry. [ABSTRACT FROM AUTHOR]

Copyright of Tunnel Construction / Suidao Jianshe (Zhong-Yingwen Ban) is the property of Tunnel Construction Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Science Technology & Industry is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Manufacturing is an important engine of China's economy, driving urban economic growth and spatial transformation. Therefore, the spatial evolution of manufacturing is a research hotspot for academics. This study takes the Changsha metropolitan area as an example, based on the micro-data on manufacturing enterprises from 1978 to 2020. Using the standard deviational ellipse, kernel density analysis method, and explored negative binomial regression model, the spatial evolution characteristics and influencing factors of the manufacturing industry in the Changsha metropolitan area from the point-and-surface perspective are explored. The main conclusions are as follows. From 1978 to 2020, the number of manufacturing enterprises in the Changsha metropolitan area show an overall increasing trend, with labor-intensive and capital-intensive manufacturing gradually upgrading to a technology-intensive form. In terms of spatial distribution, all manufacturing industries show an apparent movement of suburbanization in spatial distribution. Development zones are progressively becoming the primary spatial carrier for manufacturing reorganization and concentration. The manufacturing industry mainly expands along the "northwest-southeast" direction, showing a "point-axis" development pattern. In the process of spatial evolution, the Changsha manufacturing space has experienced a cyclical change from agglomeration to dispersion and then to accumulation. The evolution pattern has changed from mosaic filling to outward diffusion. Influenced by the characteristics of the industry, different types of manufacturing industries show apparent differences in spatial distribution. Labor-intensive enterprises are mostly micro-enterprises with flexible site layout, mainly contact diffusion and hierarchical diffusion, and the spatial characteristics of "central concentration and decentralized layout." The large-scale demand for land and employees in capital-intensive manufacturing industries-mainly large enterprises-restricts their concentration in urban centers. Meanwhile, preferential policies, such as "policy rent" in the development parks in peripheral suburbs, attract enterprises to move in, prompting capital-intensive manufacturing industries to show the spatial characteristics of "large-scale diffusion and small-scale concentration." Technology-intensive manufacturing industries are mostly small and medium-sized enterprises, which are attracted by national development zones and have strong vocational orientations. In the spatial evolution process of the manufacturing industry, factors such as socioeconomics, production cost, and governmental behavior have significant influence. Different factors play different roles in different industries. Labor-intensive enterprises are mainly affected by socioeconomics, production costs, and government behavior. Technology-intensive enterprises pay more attention to regional economic benefits, innovation environment, and policy support, while socio-economic factors, production cost, built-up environment, governmental actions, and innovation capacity all have important impacts on them. Capital-intensive enterprises are highlighted by the role of the population base, transportation accessibility, land cost, and industrial park policies. Capital-intensive enterprises are highly dependent on population, production cost, transportation accessibility, and the number of industrial zones. It can be found that the spatial evolution of all three types of manufacturing industries is significantly influenced by governmental actions; among which, the level of fixed asset investment and number of industrial parks reflect the planning guidance and policy orientation of Changsha's municipal government on manufacturing development. In addition, the degree of opening up to the outside world negatively affects the layout of all three types of manufacturing enterprises, indicating that the large influx of foreign capital tends to form industrial monopolies. This study provides a reference for optimizing the layout and high-quality development of urban manufacturing space.

Copyright of Science Technology & Industry is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Science Technology & Industry is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Science Technology & Industry is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

At present, the new technology revolution and industrial transformation are accelerately reshaping the international industrial division of labor. It is urgent to adhere to the basic principles of "open cooperation, green and low carbon, value co-creation, and codevelopment", promote open innovation and cooperation in key areas of the manufacturing industry, and improve the open innovation and development capability in the manufacturing industry. This study first summarizes the open innovation trends of global manufacturing industries. Second, it analyzes major countries' policies in promoting open innovation in the manufacturing industry. Third, the current situation and problems of China's manufacturing open innovation is demonstrated. Finally, this study puts forward the policy suggestions of China's manufacturing open innovation as strengthening the co-R&D system and capacity building and improving the manufacturing technology supply capacity, strengthening the co-design system and capacity building and enhancing the manufacturing market responsiveness, strengthening the co-production system and capacity building and enhancing the international competitiveness of the manufacturing industry, strengthening the co-service system and capacity building and leading the development direction of service-oriented manufacturing, and strengthening the codevelopment of ecosystem and environment construction and promoting the open and innovative development of the manufacturing industry. [ABSTRACT FROM AUTHOR]

The manufacturing industry is the foundation of a nation, a tool for rejuvenating a nation， and a foundation for a strong nation. It is an important focus of a modern economic system, a focus of international industrial competition and a major release of deep-seated structural contradictions in the economy. Promoting the high-quality development of the manufacturing industry is the main starting point for promoting the high-quality development of the economy. To evaluate the changes of the industrial competitiveness in the six central provinces from 2011 to 2017, the article takes the central region as the research object, and constructs a comprehensive evaluation index system that includes the current stage of industrial competitiveness, high-quality industrial competitive potential, and industrial competitive environment, and an industrial industry evaluation index system that includes the current stage of industrial competitiveness. Through the analysis of the results, the problems existing in the industrial development of Central China were found, and the following policy suggestions were put forward: to clarify the industrial direction of the high-quality stage, expand the scale and improve quality; grasp the opportunities of industrial develop - ment in the new era to improve the economic benefits of enterprises; focus on the development of technology-intensive industries and promote the transformation of industrial structure; insist on innovation to lead and accelerate industrial agglomeration, and accumulate industrial development potential; improve the supporting environment for industrial informatization and fully support the integration of industrialization and industrialization. [ABSTRACT FROM AUTHOR]

Copyright of Science Technology & Industry is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Manufacturing is an important engine of China's economy, driving urban economic growth and spatial transformation. Therefore, the spatial evolution of manufacturing is a research hotspot for academics. This study takes the Changsha metropolitan area as an example, based on the micro-data on manufacturing enterprises from 1978 to 2020. Using the standard deviational ellipse, kernel density analysis method, and explored negative binomial regression model, the spatial evolution characteristics and influencing factors of the manufacturing industry in the Changsha metropolitan area from the point-and-surface perspective are explored. The main conclusions are as follows. From 1978 to 2020, the number of manufacturing enterprises in the Changsha metropolitan area show an overall increasing trend, with labor-intensive and capital-intensive manufacturing gradually upgrading to a technology-intensive form. In terms of spatial distribution, all manufacturing industries show an apparent movement of suburbanization in spatial distribution. Development zones are progressively becoming the primary spatial carrier for manufacturing reorganization and concentration. The manufacturing industry mainly expands along the "northwest-southeast" direction, showing a "point-axis" development pattern. In the process of spatial evolution, the Changsha manufacturing space has experienced a cyclical change from agglomeration to dispersion and then to accumulation. The evolution pattern has changed from mosaic filling to outward diffusion. Influenced by the characteristics of the industry, different types of manufacturing industries show apparent differences in spatial distribution. Labor-intensive enterprises are mostly micro-enterprises with flexible site layout, mainly contact diffusion and hierarchical diffusion, and the spatial characteristics of "central concentration and decentralized layout. "The large-scale demand for land and employees in capital-intensive manufacturing industries-mainly large enterprises-restricts their concentration in urban centers. Meanwhile, preferential policies, such as "policy rent" in the development parks in peripheral suburbs, attract enterprises to move in, prompting capital-intensive manufacturing industries to show the spatial characteristics of "large-scale diffusion and small-scale concentration. "Technology-intensive manufacturing industries are mostly small and medium-sized enterprises, which are attracted by national development zones and have strong vocational orientations. In the spatial evolution process of the manufacturing industry, factors such as socioeconomics, production cost, and governmental behavior have significant influence. Different factors play different roles in different industries. Labor-intensive enterprises are mainly affected by socioeconomics, production costs, and government behavior. Technology-intensive enterprises pay more attention to regional economic benefits, innovation environment, and policy support, while socio-economic factors, production cost, built-up environment, governmental actions, and innovation capacity all have important impacts on them. Capitalintensive enterprises are highlighted by the role of the population base, transportation accessibility, land cost, and industrial park policies. Capital-intensive enterprises are highly dependent on population, production cost, transportation accessibility, and the number of industrial zones. It can be found that the spatial evolution of all three types of manufacturing industries is significantly influenced by governmental actions; among which, the level of fixed asset investment and number of industrial parks reflect the planning guidance and policy orientation of Changsha's municipal government on manufacturing development. In addition, the degree of opening up to the outside world negatively affects the layout of all three types of manufacturing enterprises, indicating that the large influx of foreign capital tends to form industrial monopolies. This study provides a reference for optimizing the layout and high-quality development of urban manufacturing space. [ABSTRACT FROM AUTHOR]

Copyright of Science Technology & Industry is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Petroleum Refinery Engineering is the property of Petroleum Refinery Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aluminum-lithium alloys have formed a perfect material system with high specific strength, high toughness and high damage tolerance resistance after the development of three generations. It is attractive to replace the traditional aluminum alloys owing to their excellent weight reduction ability. It is considered as the ideal structural materials for the aircraft and warship in the 21st century. This paper briefly reviews the development of Al-Li alloys, and introduces the idea of composition design, manufacturing and advanced application technology of the Al-Li alloys. It is pointed out that the high cost is the main problem restricting the further large-scale application of Al-Li alloys. The research directions, like to improve the product types of Al-Li alloys, develop anti-fatigue, anti-damage and low density Al-Li alloys, study the overall manufacturing technology of Al-Li alloy large parts, develop the Al-Li alloy aging forming technology, laser welding, friction stir welding and other advanced joining technologies, and other applications are also proposed in this paper.

With the coming of technological and industrial revolution, China's economy steps into a period with strategic opportunities, where the economic structure faces a series of challenges. As an industrial country, the transformation and upgrade of manufacturing industry has become an important channel driving high-quality economic growth and realizing the dual circulation in which domestic circulation is prioritized and domestic-international circulations mutually reinforce each other. In contrast to situation that United States values virtual economy and neglects real economy for a long term, the administrations of Obama, Trump, and Biden consider the strategy revitalizing manufacturing industry as the core industrial strategy since 2010. Policies, like Revitalize American Manufacturing and Innovation Act of 2014, National Network for Manufacturing Innovation, United States Innovation and Competition Act of 2021, etc., have achieved the expected objective results. From the perspective of intelligent manufacturing, this study systematically analyzes the evolution of United States' intelligent manufacturing policy since the Obama administration, focuses on two practices of American Manufacturing Innovation Institute and Manufacturing Extension Partnership, and further summarizes the experience of United States' intelligent manufacturing. To promote the development of intelligent manufacturing of China, based on policies and practices corresponding to United States, China's national conditions and industrial foundation, this research summarizes 6 enlightenments of American intelligent manufacturing policy for China: (1) emphasizing the leading role of the government and consummating the top-level design of intelligent manufacturing; (2) cultivating intelligent manufacturing ecosystem and supporting the development of small and medium-sized enterprises; (3) enhancing the ability of independent innovation and promoting the process of discovery and commercialization of key technologies; (4) sustaining openness and cooperation of the manufacturing system, accelerating knowledge sharing and integration; (5) reforming the evaluation system and optimizing the allocation of innovation resources; (6) improving the education and training system, strengthening the training mechanism of intelligent manufacturing talents. [ABSTRACT FROM AUTHOR]

The manufacturing industry is the second largest carbon emission source in China, and the success of its emission reduction is the key to the successful completion of peaking carbon dioxide emissions and achieving carbon neutrality (the'dual⁃carbon'target). Based on China􀆳s carbon intensity reduction target by 2030, this study uses the TOPSIS comprehensive evaluation method based on en⁃ tropy weight to calculate the carbon emission reduction responsibility of China􀆳s manufacturing industry in 2020-2030, and further allo⁃ cates the carbon emission reduction responsibility of manufacturing industry to 30 provinces, 28 manufacturing sub⁃sectors and each sub⁃sector in each province. The results show that: ① The manufacturing industry needs to complete 35.52% of China􀆳s total carbon emission reduction. ② There are significant differences in carbon emission reduction responsibility among regions. Provinces with large manufacturing carbon dioxide emissions also have large carbon emission reduction responsibilities. The top three provinces in terms of carbon emission reduction responsibility are Jiangsu, Shandong and Hebei. ③ Carbon emissions from the manufacturing industry main⁃ ly come from smelting and pressing of ferrous metals, manufacture of non⁃metallic mineral products, manufacture of raw chemical mate⁃ rials and chemical, processing of petroleum, coking and processing of nuclear fuel. The sum of their annual emissions accounts for more than 80% of the total annual carbon dioxide emissions from the manufacturing industry. Among them, smelting and pressing of ferrous metals, manufacture of non⁃metallic mineral products, processing of petroleum, coking and processing of nuclear fuel account for 31.65%, 15.79%, and 9.12%, respectively, of the total emission reduction of the manufacturing industry. ④ The carbon emission reduc⁃ tion responsibility of smelting and pressing of ferrous metals is the highest among 2/3 provinces, especially in Hebei, which accounts for 71.73% of the total carbon emission reduction responsibility of the manufacturing industry in Hebei. Non⁃metallic mineral products come next, whose proportion is the highest in Guangxi, about 29.63%. In view of the fact that the emission reduction responsibilities of manufacturing vary greatly between regions and industries, a reasonable allocation of carbon emission reduction responsibilities is bene⁃ ficial to ensuring the realization of China􀆳s targets of carbon peak and carbon neutrality. [ABSTRACT FROM AUTHOR]

Copyright of Tunnel Construction / Suidao Jianshe (Zhong-Yingwen Ban) is the property of Tunnel Construction Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Based on the in-depth study of the technical connotation of the integration of manufacturing industry and Internet,the technical bottleneck of the integration was put forward from four perspectives of the concept,method,goal and achievement of the deep integration.In view of different fields,ten key technologies of deep integration of manufacturing industry and Internet were analyzed in detail.And the different scenarios of key technology application were given.

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Copyright of Journal of Aeronautical Materials is the property of Editorial Board of Journal of Aeronautical Materials and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Firstly,the organizational structure and positioning of German“Industrial 4 Platform”were introduced,and then the core research was focused on,such as research and innovation,reference system and standardization,network system security.Finally,we should draw on the advanced experience of German manufacturing field,and promote the development of intelligent manufacturing in China.

The effective processing and deep mining analysis of data can provide manufacturers with more effective production scheduling,equipment management and other strategies to affect production yield and efficiency.The processing methods and technologies of multi-source heterogeneous data in the manufacturing process were systematically reviewed.Firstly,the multi-source heterogeneous data content and classification in the manufacturing process was clarified.Secondly,the data processing methods and techniques applied in various stages of data collection,data integration and data analysis in the multi-source heterogeneous data processing were described.And the advantages and disadvantages of various techniques and their applications were analyzed.Finally,the multi-source heterogeneous data processing methods and techniques in the manufacturing process were summarized.And the challenges and development trends were pointed out.

In order to more effectively support the information interaction and integration operation in spiral bevel gears networked manufacturing process, and implement the integrated management and control of manufacturing information data, we combined the characteristics of spiral bevel gears manufacturing process and information integration with management technologies, and proposed an architecture of information integration management system for spiral bevel gears networked manufacturing process in this paper based on the hierarchical thoughts. The architecture consisted of the access layer, management layer, information layer, activity layer, and resource layer which were integrated to form a whole information management system to realize the effective management and integration of entire manufacturing process form the initial spiral bevel gear orders to the final products delivery. Based on this and from the system overall operation perspective, the integration operation mode for spiral bevel gears networked manufacturing was established. Subsequently, according to the integration and sharing requirement of various information resources, the information description and integration framework of spiral bevel gear networked manufacturing process was set up based on the XML (extensible markup language) and Web service technologies, and the XML description, and Web service encapsulation mechanism of various information resources in spiral bevel gears networked manufacturing process were researched. Through making the XML Schema as the data exchange specification, the standard structures of manufacturing process information data were specifically defined, which mainly included the content, format, and attributes. According to the XML Schema standard specification definition, the XML document mapping conversion and Web service encapsulation of manufacturing process information data were finally achieved. Afterwards, by means of the Web service application integration mechanism, the information description and integration of whole spiral bevel gear networked manufacturing process was realized. Based on the service oriented architecture, the loosely-coupled and openness function model of information integration management system was built, which was divided into the application layer, interface layer, business layer, service layer, and system layer. Meanwhile, the information management and Web service called mechanism of entire function model, as well as the role of each layer and the logical relationship between the layers were elaborated. In Windows 2003 Enterprise Server, Microsoft Visual Basic.NET, and SQL Server 2005 development environment, and based on Browser/Server architecture pattern, the prototype system as well as the all corresponding function service and management interfaces of information integration management system were planned and developed. The information integration and unified management of entire spiral bevel gears networked manufacturing process were realized, which formed the gear order receipt, project planning, design and calculation of gears, process programming, task scheduling, procedure machining to the product delivery. Finally, through the enterprise application experiment of spiral bevel gears networked manufacturing, the validity of information integration management system in improving the production and management efficiency, shortening the gear production cycle, reducing the production costs were verified. Actual application results showed that the proposed architecture and implementation method of information integration management system were feasible and practical. It can effectively improve the operation and management efficiency of whole spiral bevel gears networked manufacturing process. Taking the networked manufacturing process of spiral bevel gear orders in this paper as an example, in the whole enterprise application test process, we compared with the traditional distributed manufacturing and information management mode. The productivity of application enterprise was increased about 8%, the management efficiency was improved around 25%, and the production costs were reduced more than 3%. This research presents an effective method for realizing the informatization and integration of spiral bevel gears networked manufacturing process. It may also provide a reference for the further research and application implementation of spiral bevel gears networked manufacturing mode. [ABSTRACT FROM AUTHOR]

Objective: To analyze the status of prevention and treatment of occupational diseases among mining and manufacturing industries in China in 2019, provide the scientific basis for the formulation and revision of policies and standards of prevention and treatment of occupational diseases. Methods: In May 2022, Collecting data of a project named Surveillance of Occupational Hazards in the Workplace in 2019 through the National Surveillance System for Occupational Hazards in the workplace. Compare the status of prevention and treatment of occupational diseases in 63 563 enterprises of mining and manufacturing industries among different dimensions. Results: The training rate of managers was 76.17% and that of occupational health managers was 76.97%. The rate of reporting of occupational diseases hazardous items was 67.58%, the rate of launching of the detection of occupational hazards was 57.16%, and the rate of launching of occupational health examination was 62.42%. Excluding the distribution rate of dust mask, the installation rate of various occupational prevention facilities and the distribution rate of gas mask and hearing protector were less than 80%. The differences in all the indicators among different areas, enterprise scales, economic types were statistically significant ( P <0.05) . Conclusion: There are still some enterprises which are relatively weak in the ability of the prevention and treatment of occupational diseases in China. Measures such as special support, guidance and strengthen supervision should be taken towards those enterprises toimprove the awareness of prevention and treatment of occupational diseases and the level of that.

In the experimental simulation for delaying tactics, the cost is selected as the measure, the procurement, manufacturing operations, circulation processing and distribution operations are applied to construct a cost function, the parameter change is then set, a system is programmed by C# programming language. In the interfaces, procurement delay, manufacturing delay, circulation processing delay and delivery delay can be operated, basic data can be inputted in the corresponding interface. By the system, different delay rates may lead to different operation costs, the map of cost change trend can be plotted. Through the quantitative calculation of the experimental demonstration, the feasibility of delay strategy in the operation can be proved. [ABSTRACT FROM AUTHOR]

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