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Journal of Environmental Sciences 2024年第6期140卷 255-269页

作者： Sheng Zhang Xintian Wang Jiayu Xu Qinqin Chen Meng Peng Jiming Hao School of Environment Tsinghua UniversityBeijing 100084China School of Environment&Natural Resources Renmin University of ChinaBeijing 100872China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084China

Recent years have seen a significant increase in interest in green manufacturing as a key driver of global carbon-neutral efforts and sustainable development.To find the research hotspots of green manufacturing and reveal future research trends,this study reviewed and analyzed research articles from the Web of Science database on green manufacturing from1991 to 2022 using a bibliometric method.The findings indicate a significant rise in the number of articles related to green manufacturing since the 2010s.Moreover,there has been an increase in the involvement of scholars from developing countries such as China and India in this field.Based on the literature review and bibliometric cluster analysis on green manufacturing,we believed that future research may continue following the lines of intelligent technology integration,adoption of frontier engineering techniques,and industry development in line with carbon reduction targets.A framework for future green manufacturing development is proposed,with a focus on Chinese policies.The framework could provide policy implications for developing countries looking to pursue opportunities for development in green manufacturing.

关键词： green manufacturing Carbon neutrality Sustainable development Innovative technologies China

Opportunities and Challenges of Artificial Intelligence for green manufacturing in the Process Industry

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Engineering 2019年第6期5卷 995-1002页

作者： Shuai Mao Bing Wang Yang Tang Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

Smart manufacturing is critical in improving the quality of the process industry. In smart manufacturing, there is a trend to incorporate different kinds of new-generation information technologies into process- safety analysis. At present, green manufacturing is facing major obstacles related to safety management, due to the usage of large amounts of hazardous chemicals, resulting in spatial inhomogeneity of chemical industrial processes and increasingly stringent safety and environmental regulations. Emerging informa- tion technologies such as arti cial intelligence (AI) are quite promising as a means of overcoming these dif culties. Based on state-of-the-art AI methods and the complex safety relations in the process industry, we identify and discuss several technical challenges associated with process safety: ① knowledge acquisition with scarce labels for process safety;② knowledge-based reasoning for process safety;③ accurate fusion of heterogeneous data from various sources;and ④ effective learning for dynamic risk assessment and aided decision-making. Current and future works are also discussed in this context.

关键词： Process industry Smart manufacturing green manufacturing Artificial intelligence

Fuzzy Multiple Attribute Decision Making for Evaluating Aggregate Risk in green manufacturing

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Tsinghua Science and Technology 2005年第5期10卷 627-632页

作者：刘华陈维平康志新 NGAI Tungwai 李元元 College of Mechanical Engineering South China University of Technology Guangzhou 510640 China

Industrial risk and the diversification of risk types both increase with industrial development. Many uncertain factors and high risk are inherent in the implementation of new green manufacturing methods. Because of the shortage of successful examples and complete and certain knowledge, decision-making methods using probabilities to represent risk, which need many examples, cannot be used to evaluate risk in the implementation of green manufacturing projects. Therefore, a fuzzy multiple attribute decision-making （FMADM） method was developed with a three-level hierarchical decision-making model to evaluate the aggregate risk for green manufacturing projects. A case study shows that the hierarchical decision-making model of the aggregate risk and the FMADM method effectively reflect the characteristics of the risk in green manufacturing projects.

关键词： green manufacturing fuzzy multiple attribute decision making aggregate risk fuzzy logic

A Decision-Making Framework Model of Cutting Fluid Selection for green manufacturing and the Case Study

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厦门大学学报（自然科学版） 2002年第S1期41卷 136-137页

作者： TAN Xian-chun 1, LIU Fei 1, CAO Hua-jun 1, ZHANG Hua 2 (1. The Institute of manufacturing Engineering, Chongqing University, Chongqing 400044, China 2. School of manufacturing & Automation, Wuhan University of Science & Technol ogy, Wuhan 430081, China)

Pursuing the green manufacturing (GM) of products i s very beneficial in the alleviation of environment burdens. In order to reap such benefits, green manufacturing is involved in every aspect of manufacturing proc esses. During the machining process, cutting fluid is one of the main roots of e nvironmental pollution. And how to make an optimal selection for cutting fluid f or GM is an important path to reduce the environmental pollution. The objective factors of decision-making problems in the traditional selection of cutting flu id are usually two: quality and cost. But from the viewpoint of GM, environmenta l impact (E) should be considered together. In this paper, a multi-object d ecision-making model of cutting fluid selection for GM is put forward, in which the objects of Quality (Q), Cost(C) and Environmental impact (E) are considered together. In this model, E means to minimize the environmental impact, Q means to maximize the quality and C means to minimize the cost. Each objective is anal yzed in detail too. A case study on a decision-making problem of cutting fluid selection in a gear hobbing process is analyzed, and the result shows the model is practical.

关键词： green manufacturing cutting fluid decision-mak ing model environmental impact

On the Method of Air Jet Cooling in green manufacturing

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International Journal of Plant Engineering and Management 2001年第4期6卷 186-192页

作者： REN Jia long East China Shipbuiling Institute, Zhenjiang 212003, P.R.China East China Shipbuiling Institute

green cooling is an important technology in green manufacturing. In the way of jetting, cooling airflo-w in used in the experiments of metal material cutting, by comparison of the changes of some technological factors, such as cutting heat, surface finish, in the process of jet cooling, pour cooling and natural cooling, we can draiv the conclusion that air jet cooling has a better cooling effect and green function. It can be 'widely used in both traditional and automatic green manufacturing.

关键词： turning jet cooling green manufacturing air cooling

green transformation of manufacturing industry for ecological protection in Jiangsu Province

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Ecological Economy 2017年第4期10卷 363-367页

作者： ZHU Meng School of Management Yangzhou Polytechnic College

Under the new normal economy, the manufacturing industry is developing rapidly as the focus of economic development in Jiangsu. Its rapid development has brought great opportunities to our society, but at the same time, great challenges has been brought to the natural environment. The resource consumption and environmental pollution problems have become increasingly prominent. In the face of this situation, we must try every means to reduce pollution and save energy. Therefore, the transition trend of manufacturing industry in the future is bound to take the green economy as the background. Thus, this paper analyzes the drawbacks of the manufacturing industry in Jiangsu province. And the status of traditional manufacturing enterprises and advantages of green manufacturing are analyzed. Then, the paper proposed to explore the practice of green manufacturing mode for the ecological protection, so as to achieve the industrial transformation and upgrading of manufacturing industry in Jiangsu province.

关键词： manufacturing industry green manufacturing transformation and upgrading clean production Jiangsu province

The potential of 3D printing in facilitating carbon neutrality

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Journal of Environmental Sciences 2023年第8期130卷 85-91页

作者： Dingyi Wang Tingting Zhang Xudong Guo Dayi Ling Ligang Hu Guibin Jiang State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China School of Environment Hangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China School of Environment and Health Jianghan UniversityWuhan 430056China

At present,dramatically reduction of fossil fuel usage is regarded as a major initiative to achieve the carbon neutrality goal.Nevertheless,current energy policies are unlikely to achieve the climate goal without sacrificing economic development and people’s livelihood because fossil fuels are currently the dominant energy source.As an environment-friendly manufacturing technology,three-dimensional printing(3DP)is flourishing and is considered beneficial to energy structure adjustment and industrial upgrading.Despite this,its potential to contribute to global carbon neutrality has not attracted enough attention.Herein,we explore the application of 3DP and its potential facilitating carbon neutrality from crucial sectors and applications including manufacturing,construction energy,livestock,and carbon capture and storage(CCS)technologies.The additive manufacturing and decentralized manufacturing characteristics of 3DP allow reducing greenhouse gas(GHG)emissions in manufacturing and construction sectors by optimized and lightweight designs,reduced material and energy consumption,and shortened transport processes.In addition,3DP enables the precise manufacturing of customized complex structures and the expansion of functional materials,which makes 3DP an innovative alternative to the development of novel energy-related devices,cultured meat production technology,and CCS technologies.Despite this,the majority of applications of 3DP are still in an early stage and need further exploration.We call for further research to precisely evaluate the GHG emission reduction potential of 3DP and to make it better involved and deployed to better achieve carbon neutrality.

关键词： Carbon neutrality GHG emissions 3D printing green manufacturing Livestock Carbon capture and storage

Some Strategic Problems on green manufacturing Practice

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Some Strategic Problems on Green Manufacturing Practice

A VECTOR PROJECTION METHOD TO EVALUATING MACHINE TOOL ALTERNATIVES FOR green manufacturing

2004年世界工程师大会

作者： Liu Fei Cao Huajun He Yan Institute of manufacturing Engineering Chongqing University Chongqing 400030 China

＜正＞ green manufacturing is a modern manufacturing mode oriented to sustainable development strategy. Although there are a lot of advantageous factors promoting the development and implementation of green manufacturing, the application of green manufacturing in manufacturing enterprises is not as inspiring as expected. With the review of the status quo of green manufacturing, some strategic problems on green manufacturing practice are discussed from five aspects: enterprise understanding, technological system, social supporting system, regional implementation mode, and industrial breakthrough mode.

关键词： green manufacturing implementation Strategy environmental consciousness

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A VECTOR PROJECTION METHOD TO EVALUATING MACHINE TOOL ALTERN...

Necessarity of Practicing green manufacturing in Iron Industry From the Point of CSR

2006年中国机械工程学会年会暨中国工程院机械与运载工...

作者： JIANG Zhigang, ZHANG Hua manufacturing Engineering Institute, Wuhan University of Science & Technology, 430081, China

Machine tool selection for green manufacturing is a practical approach for reducing the resource consumption and negative environmental impact in mechanical processes. On the other hand, selecting the

关键词： Machine tool selection green manufacturing vector projection method multiple-criteria.

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Necessarity of Practicing Green Manufacturing in Iron Indust...