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The literature on energy management in manufacturing is rapidly growing. Since the literature is also quite fragmented, we believe that the time has come to delve into current knowledge in the research field to provide directions for policy makers and guidance for future research. To achieve this, we present a detailed analysis of the research lite...
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Studies related to engineering area in our country and in the world have increased day by day.
Progress in national economy depends research and development (R&D) investment. The increase of number
and quality of studies performed in engineering area has a big importance for our country. The purpose of this
study is to introduce general situation b...
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... This will allow the enterprise to save manufacturing costs [19,26]. For example, digital technology facilitates the numerical control of equipment and the automation of production [27], which effectively reduces the energy consumption of manufacturers [28][29][30]. Secondly, digital products and services, as intermediate inputs, directly improve production efficiency by complementing other production factors. ...
... In addition, digital technology is applied in business operations, which brings about changes in production, marketing, and financial management. The application of digital technology is not limited to production and processing links, but rather has been extended to the whole life cycle [34,35], and the whole manufacturing system including upstream and downstream chains [28]; it improves the daily operation and management of firms [36]. ...
Digital transformation is increasingly crucial to the upgrading and sustainable development of China’s manufacturing industry with the rapid development of the digital economy. To study the impact of the digital economy on the sustainable development of the manufacturing industry, this study analyzed the theoretical basis of the digital economy’s impact on the promotion of the sustainable development of the manufacturing industry. Then, based on the panel data of manufacturing sectors in 2002, 2005, 2007, 2010, 2012, 2015, and 2017, empirical tests and mechanism analysis were conducted by means of the two-way fixed effect model and the mediating effect model. The results were as follows: (1) Digital services can significantly improve the industrial performance of the manufacturing industry, while the effect of digital products is nonsignificant; (2) Mechanism analysis revealed that digital services can promote the industrial performance of the manufacturing industry through the intermediary mechanisms of reducing production costs rather than transaction costs; (3) Digital services can also reduce carbon emissions and promote the green development of the manufacturing industry through the intermediary mechanisms of innovation. In conclusion, digital services can promote the sustainable development of China’s manufacturing industry. This paper provides evidence for the integration of the manufacturing industry and the digital economy. Furthermore, it has important implications for the formulation of digital economy policies and the sustainable development of the manufacturing industry.
... From the sustainability perspective, the popularity of the Internet has caused traditional production methods to fall behind. The use of the Internet for data analysis and word processing has become the norm, and the automation of production processes and management procedures has emerged, promoting productivity while reducing energy consumption [35]. In addition, Internet construction has also given rise to sharing platforms such as Shared Bicycles and Airbnb. ...
Broadband, as a key element of Internet infrastructure, plays an important role in breaking down barriers to the flow of production factors and promoting green economic transformation. Using the “Broadband China” strategy as a quasi-natural experiment, this study examines the impact and mechanisms of Internet infrastructure on urban green development by constructing a multi-period Difference-in-Differences (DID) model based on panel data from 277 Chinese prefecture-level cities from 2009 to 2019. The results show that the “Broadband China” pilot policy significantly promotes urban green development, with green technological innovation and talent aggregation playing important moderating roles. However, there is a certain lag in the impact of the “Broadband China” pilot policy on urban green development. Furthermore, our heterogeneity analysis suggests that the promotion of the “Broadband China” pilot policy for urban green development mainly exists in central cities, large-scale cities, and resource-based cities, as opposed to surrounding cities, small-scale cities, and non-resource-based cities. The above findings clarify the impact of Internet construction on urban green development and provide a theoretical and practical exploration for achieving a win-win situation of high-quality urban development and environmental protection.
... To solve these concerns, the scientific community has been actively involved. The literature on the issue is extensive and covers various themes regarding industrial energy efficiency [6,7]. This is an inherently interdisciplinary field, which includes contributions from a merely technical perspective to contributions emphasizing social or economic dimensions [8]. ...
Today, energy efficiency is an essential issue in all institutions. With the developing technology, artificial intelligence and machine learning have become widespread in every field. This study focuses on the application of machine learning to energy efficiency. FPFS-kNN, a state-of-the-art machine learning method, has been applied to the energy efficiency dataset obtained from the UCI database. A comparison with well-known machine learning methods is provided. The results manifest that FPFSkNN outperforms the others. Finally, FPFS-kNN and the need for further research are discussed.
... On the other hand, the advancement in the digital economy can be expected to reduce pollution by promoting the technical innovation of industrial sectors, improving energy efficiency, and altering the energy structure (May et al., 2017). In the energy sector, the development of the digital economy can make renewable energy power generation technologies easier which, in turn, can make key breakthroughs by providing renewable electricity at comparatively lower costs compared with fossil energybased electricity. ...
Based on the perspective of industrial agglomeration, this paper employs a dynamic panel model and mediating effects model to investigate the impact of digital economy’s development on air pollution in 274 Chinese cities from 2011 to 2019. The main findings include: (1) The development of the digital economy reduces air pollution emissions in Chinese cities, and the elasticity of pollution reduction is greater in central and western China than in eastern China. (2) The nexus between industrial agglomeration and air pollution is inverted-N-shaped. (3) Mechanism tests show that the digital economy can effectively promote the degree of industrial agglomeration in each area, and it plays a positive role in abating pollution in eastern and central China through the positive externalities of industrial agglomeration, but the mediating effect of industrial agglomeration on pollution reduction is not significant in western China. (4) Diversified agglomeration is an active mediator of the digital economy’s pollution reduction effect in eastern and central China. Accordingly, some policy implications are put forward for simultaneously promoting the development of the digital economy and reducing air pollution, impelling industrial agglomeration, and accelerating the green transformation in China.
... Zhao et al. proposed a critical review of energy consumption in a machining process, the purpose of this review study is to describe predictive methods and saving strategies of energy consumption for sustainable manufacturing [21]. May et al. presented a comprehensive review on energy management in manufacturing with main axes related to energy management, namely drivers and barriers, information and communication technologies, strategic paradigms, supporting tools and methods, manufacturing process paradigms, and manufacturing performance tradeoffs [22]. Lingling et al. presented a comprehensive literature review which deals with operational strategies to improve energy efficiency of CNC machining [23]. ...
Metal working process is one of the main activities in mechanical manufacturing industry; it is considered as a major consumer of energy and natural resources. In material removal process, the selection of cutting parameters and cooling or cutting liquid is necessary to save energy and achieve energy efficiency as well as sustainability. During the last two decades, the number of publications in this field has rapidly increased and has shown the importance of this research area. This review paper identifies and reviews in detail a total of 166 scientific studies which exhibit original contributions to the field and address multiple energy efficiency challenges. The recently developed models of energy consumption and different materials used in the machining process are presented. Therefore, this study describes various techniques for modeling and optimizing machining operations such as turning, milling, and drilling. Modeling techniques, experimental methods, multi-objective and single-objective optimization methods, and hybrid techniques optimization are presented in a detailed manner compared to previous review papers where only energy models are discussed. It can help practitioners and researchers to select the most appropriate approach for the desired experience and to highlight the progress of these methods in terms of machining energy efficiency. Additionally, this paper provides a review of different cutting fluids adopted in machining processes. This paper assists researchers and manufacturers in making advantageous technical decisions that have substantial economics in terms of energy saving.
... Digital transformation refers to the upgrading of organizational structures and business models through information technology. The technological progress and digital communication technology applications embedded in digital transformation can not only improve the efficiency of enterprise production factors such as utilization and energy use efficiency [19,20], but also promote the fine management of material input, product manufacturing and sales processes through the automation upgrade of production processes, prompting enterprises to accurately control the production process while monitoring the energy consumption of each link in real time, reducing energy consumption [21][22][23]. This will reduce the rate of energy consumption, reduce waste in production and generate positive feedback on energy saving and emission reduction. ...
China is currently facing the arduous tasks of energy conservation, emission reduction and structural transformation, making it of great significance to study the digital transformation of heavily polluting enterprises. As an important informal regulatory system, public environmental concerns affect corporate environmental behavior by increasing external environmental pressure. This study uses the data of listed companies in China’s heavily polluting industries from 2012 to 2020 and Baidu Index data to analyze how public environmental concerns affect the digital transformation of heavily polluting enterprises. This study finds that public environmental concerns can significantly promote the digital transformation of heavily polluting enterprises. For non-state-owned, green image and high-tech enterprises, the impact is even more obvious. Furthermore, based on the structural and hierarchical perspective of enterprise digital transformation, we find that public environmental concerns significantly promote digital technology application. This study puts forward some suggestions for government departments to formulate environmental protection regulations, enterprises to fulfill their green responsibilities and the public to participate in environmental governance.
... In addition, digital technology can promote the structural optimization of the production and operation activities of enterprises to achieve energy saving. May et al. (2017) find that ICT facilitates the automation of enterprise production processes, thereby reducing energy consumption. However, some scholars have questioned the energy saving effect of the digital economy (Faucheux and Nicolaï, 2011;. ...
As a new economic form, the digital economy provides new opportunities to save energy and reduce emissions, but it may also become a booster for increasing energy consumption and pollutant emissions, making the sustainable development of cities face serious challenges. It is controversial whether the digital economy contributes to energy saving and emission reduction, and it is unclear what role technological progress and structural transformation play in the relationship between the digital economy and energy saving and emission reduction. In this study, the energy saving and emission reduction effects of the digital economy in cities and its mechanisms are empirically examined from the perspective of technological progress and structural transformation using the two-way fixed effect model and the mediating effect model. The results show that the digital economy increases urban energy consumption and reduces pollution emissions. The energy saving and emission reduction effects of the digital economy are more significant in northeastern cities, large cities, and resource-based cities. The mechanism test shows that the digital economy promotes urban energy saving and emission reduction through green technological progress, mainly because the energy saving from green technological efficiency improvements exceeds the energy rebound from green technological innovation. However, the digital economy has not shown energy saving and emission reduction effects by promoting industrial structural transformation. Specifically, the structural transformation of the secondary industry contributes to urban emission reduction, while the structural transformation of the primary and tertiary industries leads to efficiency loss of energy saving and emission reduction. Our findings provide valuable insights into the synergistic governance of “energy saving” and “emissions reduction” in cities in the digital economy.
... On the one hand, industrial digitization can reduce energy consumption and carbon emissions in the manufacturing and operational phases of infrastructure facilities, thereby increasing the efficiency of production factors and energy use in enterprises (Berkhout and Hertin 2004;Moyer and Hughes 2012). On the other hand, industrial digitization, through the automation of the production process, promotes more detailed management of the processes of material input, product manufacturing and sales, which enables enterprises to accurately control the production process while monitoring the energy consumption of each link in real time, reducing the rate of energy consumption, reducing waste in production and thus having a positive impact on pollution control (Bunse et al. 2011;May et al. 2017). Combined with the above analysis, given that saving energy reduces carbon emissions due to energy consumption, industrial digitization has a carbonreducing impact when it comes to energy conservation. ...
Industrial digital transformation is a key engine to help developing countries reduce pollution and carbon emissions. We used the composite system synergy model (CSSM) and modified entropy weight method to measure the degree of synergy between pollution and carbon emissions control (SPCEC) and the level of industrial digitization in each province and city based on the Chinese inter-provincial panel data from 2011 to 2020. We then used the two-way fixed effects and panel quantile regression models to test the heterogeneous influence of industrial digitization on the SPCEC. We found that: (1) industrial digitization had a positive contribution to the SPCEC. (2) Digitization of industry contributes more to the SPCEC level than the digitization of agriculture and services. (3) The promotion of SPCEC by industrial digitization is significant in the western region, but not in the eastern, central and northeastern regions. (4) In provinces and municipalities with lower level of SPCEC, the contribution of industrial digitization to the SPCEC is higher. This paper reveals the impact of industrial digitization on the SPCEC and can provide a policy reference for the realization of the SPCEC from the perspective of the integration of industry and digitization.
... 39 The digital economy can drive automation and minimize needless energy use in corporate manufacturing processes, with far-reaching ramifications for the dynamic process of industrial energy management. 40 The digital economy transforms corporate processes through technology innovation, government growth strategies, and digital entrepreneurship, and it is concerned with business and societal transformation, as well as information-driven changes in the region's growth. 41 The digital economy is based on digital technologies such as Big Data and the IoT, which can support the transition to a restorative and regenerative circular economy. ...
... What is different is that we discussed not only the impact of the digital economy on energy efficiency but also the impact and difference of its composition efficiency. 12,40 To begin with, the development of the digital economy can optimize manufacturing procedures and extend production scale. By adding more energy-saving and efficient technology into the Notes: * * * , * * , and * represent significant levels of 1%, 5%, and 10%. ...
Promoting high-quality economic development, boosting high-level ecological environment protection, and integrating deeply digital economy and energy efficiency has become a general trend. This paper, based on 284 prefecture-level Chinese cities from 2008 to 2018, uses the entropy weight method and super-efficient SBM-DEA model to measure the digital economy and energy efficiency (decompose into energy pure technical efficiency and energy scale efficiency), respectively. After the spatial and temporal evolution characteristics, a fixed-effect model is constructed to study the impact of the digital economy on energy efficiency. The research results show that: (1) the development of the digital economy effectively promotes energy efficiency, mainly reflected in the improvement of pure technical efficiency of energy; (2) the development of both the digital economy and the energy efficiency in China has complex spatial and temporal evolutionary characteristics, and there is heterogeneity in the impact of the digital economy on energy efficiency at the temporal and spatial levels; and (3) digital economy effectively improves energy efficiency by reducing unnecessary energy consumption through the R&D innovation effect. The development of the digital economy has far-reaching significance on the optimization and upgrading of the economic system, accelerating the improvement of energy efficiency and achieving green transformation.
... However, the problem of high energy consumption in GMP is still an issue to be solved. According to the latest report of the International Energy Agency (IEA), global carbon dioxide emissions from energy consumption increased by 1.7% (about 560 million tons) in 2018, with a total of 33.1 billion tons of carbon dioxide, the highest level in history, of which energy consumption in the manufacturing industry accounted for about 38%, resulting in a large amount of carbon dioxide [19,20]. Zhang et al. [8] conducted a comprehensive study on the sustainability of 3D ultra-thin glass molding process. ...
In recent years, the glass molding process (GMP), as an alternative technology of traditional glass processes, has been widely used in curved glass production industry. However, the high energy consumption issue that resulted in the strong thermo-mechanical coupling and high temperature (more than 700 ∘C) in GMP has now emerged as one of the factors impeding the further advancement of it. This study models and examines the energy usage in smartphone covers using various heating methodologies. Numerical model of heat flow between heating plates, heat-conducting plates and molds is established to investigate the energy flow and energy consumption in GMP. The effects of heating rate and heat flux density on energy consumption are studied, respectively. In addition, different strategies are adopted to estimate the effectiveness, and the desired energy consumption of GMP can be reduced from 614 to 594.4 kJ (reduce 3.19%) by the proposed model under the desired optimized process parameters. The molding time is reduced from 148.8s to 139.2 s, with a reduction rate of 6.45%. The verification experiment confirms that the predicted error is less than 15%. Finally, this paper analyzes the impact of energy consumption and carbon emissions on energy sustainability and environment in GMP.
