Research Status and Technology Path of Low-carbon Manufacturing under the Background of Emission Peak and Carbon Neutrality

doi:10.3901/JME.2023.07.225

Abstract

Abstract: Through the analysis of the development of low-carbon manufacturing at home and abroad, the connotation and theoretical system of low-carbon manufacturing are systematically discussed. The research status of low-carbon manufacturing technology innovation at home and abroad is then analyzed from several aspects, such as carbon emissions accounting and carbon footprint assessment, low-carbon product design and development, low-carbon manufacturing process and equipment, data-driven carbon emission dynamic monitoring, low-carbon optimized operation of manufacturing systems, carbon efficiency optimization and lean control of manufacturing process, and low-carbon manufacturing paradigm. Under the background of emission peak and carbon neutrality, the low-carbon manufacturing technology path of "carbon emissions accounting, carbon emissions diagnosis and carbon emissions reduction" based on the new generation of information technologies such as industrial internet and big data has been proposed, accordingly the industrial carbon emissions big data platform has also been established.

Key words: low-carbon manufacturing, carbon emissions accounting, carbon emissions diagnosis, carbon emissions reduction, industrial carbon emissions big data

CLC Number:

TB472

LI Hongcheng, CAO Huajun, LIU Lanwei, XING Bin, PAN Xin, WEN Xuanhao, GE Weiwei. Research Status and Technology Path of Low-carbon Manufacturing under the Background of Emission Peak and Carbon Neutrality[J]. Journal of Mechanical Engineering, 2023, 59(7): 225-240.

References

[1] IPCC. Climate Change 2007:Synthesis Report[EB/OL]. (2013-12-30). http://www.ipcc.ch/pdf/assessmentreport/ar4/syr/ar4_syr.pdf.
[2] 联合国. 全球变暖与气候变化[EB/OL]. (2013-12-30). https://www.un.org/zh/development/progareas/global/warm.shtml,United Nations. Global warming and climate change.[EB/OL]. (2013-12-30). https://www.un.org/zh/development/progareas/global/warm.shtml.
[3] IEA. CO₂ emissions from fuel combustion highlights[R]. OECD/IEA,2013.
[4] 姜大明. 推动传统制造业在升级改造中实现绿色发展[J]. 上海企业,2019(7):52-52.JIANG Daming. Promoting the green development of the traditional manufacturing industries in the upgrading and transformation[J]. Shanghai Enterprise,2019(7):52-52.
[5] 国务院. 2030年前碳达峰行动方案[EB/OL]. (2021-10-24)[2021-10-26]. http://www.gov.cn/zhengce/content/2021-10/26/content_5644984.htm. China State Council. Action plan for carbon peak by 2030[R/OL] (2021-10-24)[2021-10-26]. http://www.gov.cn/zhengce/content/2021-10/26/content_5644984.htm.
[6] 工业和信息化部. "十四五"工业绿色发展规划[EB/OL].[2021-11-15]. http://www.gov.cn/zhengce/zhengceku/2021-12/03/content_5655701.htm.Ministry of Industry and Information Technology of China. The "Fourteenth Five Year" industrial green development plan[EB/OL] [2021-11-15]. http://www.gov.cn/zhengce/zhengceku/2021-12/03/content_5655701.htm.
[7] KAREL K,WIM D,MICHAEL O. Methodology for systematic analysis and improvement of manufacturing unit process lifecycle inventory (UPLCI)-CO2PE! Initiative (cooperative effort on process emissions in manufacturing)[J]. International Journal of Cycle Assessment,2012,(17):69-78.
[8] WIEDMANN T,MINX J. A Definition of 'Carbon Footprint'[R]. Hauppauge NY:Nova Science Publishers, USA,2008:1-11.
[9] BRONDI C,CARPANZANO E. A modular framework for the LCA-based simulation of production systems[J]. CIRP Journal of Manufacturing Science and Technology,2011,4(3):305-312.
[10] WILSON AR,VASILE M,OQAB H B,et al. A process-based life cycle sustainability assessment of the space-based solar power concept[C]//71st International Astronautical Congress (IAC). 2020.
[11] Carnegie Mellon University. EIO-LCA:Free,Fast,Easy Life Cycle Assessment. http://www.eiolca.net/index.html.
[12] ROWLEY H V,LUNDIE S,PETERS G M. A hybrid life cycle assessment model for comparison with conventional methodologies in Australia[J].International Journal of Life Cycle Assessment,2009,14(6):508-516.
[13] KELLENS K,DEWULF W,OVERCASH M,et al. Methodology for systematic analysis and improvement of manufacturing unit process life cycle inventory (UPLCI)-CO2PE! Initiative (cooperative effort on process emissions in manufacturing). Part 1:Methodology description[J]. International Journal of Life Cycle Assessment,2012,17:69-78.
[14] BERNSTEIN W Z,BOETTJER T,RAMANUJAN D. Quantifying life cycle inventories for machining processes as detailed design[J]. Procedia CIRP,2021,98:370-375.
[15] ZAKARIA S,MATIVENGA P,CESKE A. Energy consumption and scope2 emissions for fused deposition modelling[J]. Procedia CIRP,2022,105:31-36.
[16] LIU H L,LI B T,TANG W H. Manufacturing oriented topology optimization of 3D structures for carbon emission reduction in casting process[J]. Journal of Cleaner Production,225:755-770.
[17] 张雷,张北鲲,鲍宏,等. 产品熔融沉积制造的碳排放量化方法[J]. 机械工程学报,2017,53(5):50-59.ZHANG Lei,ZHANG Beikun,BAO Hong,et al. Carbon emissions quantitative methodology of product fused deposition manufacturing[J]. Journal of Mechanical Engineering,2017,53(5):50-59.
[18] 李先广,杨勇,李聪波,等. 面向绿色制造的干式齿轮加工过程碳排放分析[J]. 中国机械工程,2014,25(16):2184-2190.LI Xianguang,YANG Yong,LI Congbo,et al. Analysis of carbon emission in gear dry machining process for green manufacturing[J]. China Mechanical Engineering,2014,25(16):2184-2190.
[19] LIU Z H,ZHANG W M,XIAO Z Y,et al. Research on Extended Carbon Emissions Accounting Method and Its Application in Sustainable Manufacturing[J]. Procedia Manufacturing,2020,43:175-182.
[20] 世界自然基金会香港分会. 低碳制造计划(LCMP)2020成绩摘要[EB/OL].[2020-03-11]. https://wwfhk. awsassets.panda.org/downloads/lcmp_annual_report_chi_2020_final_.pdf. WWF Hong Kong Branch. Low carbon manufacturing plan (LCMP) 2020 achievement summary[EB/OL] [2020-03-11]. https://wwfhk.awsassets.panda.org/downloads/lcmp_annual_report_chi_2020_final_. pdf.
[21] JESWIET J,KARA S. Carbon emissions and CESTM in manufacturing[J]. CIRP Annals-Manufacturing Technology,2008,57(1):17-20.
[22] 孙良峰,裘乐淼,张树有,等. 面向低碳化设计的复杂装备碳排放分层递阶模型[J]. 计算机集成制造系统,2012,18(11):2381-2390.SUN Liangfeng,QIU Lemiao,ZHANG Shuyou,et al. Carbon emission hierarchical model of complex equipment for low-carbon design[J]. Computer Integrated Manufacturing Systems,2012,18(11):2381-2390.
[23] 邓朝晖,吕黎曙,符亚辉,等. 机床零部件生命周期碳排放评估与减排策略研究[J]. 机械工程学报,2017,53(11):144-156.DENG Zhaohui,LÜ Lishu,FU Yahui,et al. Assessing Carbon Emission of Machine Tool Parts from Life Cycle Perspective and Emission Reduction Strategy Research[J]. Journal of Mechanical Engineering,2017,53(11):144-156.
[24] 朱硕,张华,江志刚,等. 基于DEVS的机械加工过程碳排放多粒度动态模型构建及仿真[J]. 机械工程学报,2018,54(19):158-169.ZHU Shuo,ZHANG Hua,JIANG Zhigang,et al. Multi-granularity dynamic model establishment and simulation of carbon emissions for machining process based on DEVS[J]. Journal of Mechanical Engineering,2018,54(19):158-169.
[25] CAO H J,LI H C. Simulation-based approach to modeling the carbon emissions dynamic characteristics of manufacturing system considering disturbances[J]. Journal of Cleaner Production,2014,64:572-580.
[26] 卢建鑫. 基于"碳足迹"评估的产品"低碳设计"研究[D]. 无锡:江南大学,2012.LU Jianxin. Based on the "Carbon footprint" evaluation product "low-carbon design" study[D]. Wuxi:Jiangnan University,2012.
[27] FAN F,KAI C,HUI D,et al. Sustainable Design and analysis of CNC machine tools:sustainable design index based approach and its application perspectives[C]//ASME 2016 11th International Manufacturing Science and Engineering Conference. 2016.
[28] 张毅,李文强,李彦,等. 基于碳足迹信息模型的产品低碳创新设计[J]. 工程设计学报,2017(2):141-148.ZHANG Yi,LI Wenqiang,LI Yan,et al. Product low-carbon innovative design based on the carbon footprint information model[J]. Chinese Journal of Engineering Design,2017(2):141-148.
[29] WANG Z,ZHANG S,QIU L,et al. A low-carbon-orient product design schemes MCDM method hybridizing interval hesitant fuzzy set entropy theory and coupling network analysis[J]. Soft Computing,2020,24(7):5389-5408.
[30] HE B,ZHANG D,GU Z C,et al. Skeleton model-based product low carbon design optimization[J]. Journal of Cleaner Production,Volume 264,2020,121687.
[31] HE B,HE B,YU Q,et al. Product sustainable design for carbon footprint during product life cycle[J]. Journal of Engineering Design,2021,32(9):478-495.
[32] HE B,HUA Y C. Feature-based integrated product model for low-carbon conceptual design[J]. Journal of Engineering Design,2017,28:6,408-432
[33] WANG Q,TANG D,YIN L,et al. An optimization method for coordinating supplier selection and low-carbon design of product family[J]. International Journal of Precision Engineering and Manufacturing,2018,19(11):1715-1726.
[34] WANG Z,ZHANG S,QIU L,et al. A low-carbon design method integrating structure design and injection process design for injection molding machines[J]. Mathematical Problems in Engineering,2019,2019(11):1-19.
[35] REN S,GUI F,ZHAO Y,et al. An extenics-based scheduled configuration methodology for low-carbon product design in consideration of contradictory problem solving[J]. Sustainability,2021,13(11):5859.
[36] REN S,GUI F,ZHAO Y,et al. An effective similarity determination model for case-based reasoning in support of low-carbon product design[J]. Advances in Mechanical Engineering,2020,12(10):1-12.
[37] AMETA G,MANI M,RACHURI S,et al. Carbon weight analysis for machining operation and allocation for redesign[J]. International Journal of Sustainable Engineering,2009,2(4):241-251
[38] SONG J S,LEE K M. Development of a low-carbon product design system based on embedded GHG emissions[J]. Resources,Conservation and Recycling,2010,54 (9):547-556.
[39] ZHANG X F,ZHANG S Y,HU Z Y,et al. Identification of connection units with high GHG emissions for low-carbon product structure design[J]. Journal of Cleaner Production,2012,27:118-125.
[40] 彭鑫. 基于碳足迹特征的机电产品方案设计建模及碳足迹评价研究[D]. 济南:山东大学,2019.PENG Xin. Research on scheme design modeling and carbon footprint evaluation of mechatronics products based on carbon footprint characteristics[D]. Jinan:Shandong University,2019.
[41] GUI F,REN S,ZHAO Y,et al. Activity-based Allocation and Optimization for Carbon Footprint and Cost in Product Lifecycle[J]. Journal of Cleaner Production,2019,236:117627.
[42] ZHANG H C,LI H. An energy factor based systematic approach to energy-saving product design[J]. CIRP Annals-Manufacturing Technology,2010,59(1):183-186.
[43] ZhENG H,YANG S,LOU S,et al. Knowledge-based integrated product design framework towards sustainable low-carbon manufacturing[J]. Advanced Engineering Informatics,2021,48(10-12):101258.
[44] HE B,HUA Y. Feature-based integrated product model for low-carbon conceptual design[J]. Journal of Engineering Design,2017:1-25.
[45] PENG J,LI W Q,LI Y,et al. Innovative product design method for low-carbon footprint based on multi-layer carbon footprint information[J]. Journal of Cleaner Production,2019,228:729-745
[46] LUCCHETTA G,BARIANI P F. Sustainable design of injection moulded parts by material intensity reduction[J]. CIRP Annals-Manufacturing Technology,2010,59(1):33-36.
[47] Loughborough University. ATKINS:Manufacturing a low carbon footprint[R]. http://www.atkins-project.com/,2010-1-31.
[48] GUTOWSKI T,BRANHAM M,DAHMUS J,et al. Thermodynamic analysis of resources used in manufacturing process[J]. Environmental science and Technology,2009,43(5):1584-1590.
[49] MUNOZ A A,SHENG P. An analytical approach for determining the environmental impact of machining processes[J]. Journal of Materials Processing Technology,1995,53:736-758.
[50] KARA S,LI W. Unit process energy consumption models for material removal processes[J]. CIRP Annals-Manufacturing Technology,2011.60(1):37-40.
[51] TANG Y L,MAK K,ZHAO F Y Y. A framework to reduce product environmental impact through design optimization for additive manufacturing. Journal of Cleaner Production,2016,137:1560-1572
[52] MONTEIRO H,APARICIO GC,LEI I,et al. Energy and material efficiency strategies enabled by metal additive manufacturing-A review for the aeronautic and aerospace sectors[C]//The 8th International Conference on Energy and Environment Research ICEER 2021,13-17 September.
[53] ZAKARIA S,MATIVENGA P,CSEKE A. Energy consumption and scope 2 emissions for fused deposition modelling[J]. Procedia CIRP,2022,105:31-36.
[54] PRIARONE PC,LUNETTO V,ATZENI E,et al. Laser powder bed fusion (L-PBF) additive manufacturing:On the correlation between design choices and process sustainability[J]. Procedia CIRP,2022,78:85-90.
[55] MEIER H,SHI X. A systematic approach to resource-efficient process planning for low-carbon manufacturing[C]//The 44th CIRP Conference on Manufacturing System,2011.
[56] WANG Y H,ZHANG H,ZHANG Z,et al. Development of an evaluating method for carbon emissions of manufacturing process plans[J]. Discrete Dynamics in Nature & Society,2015,2015:1-8.
[57] ZHOU G H,TIAN C L,ZHANG J J,et al. Multi-objective process route optimization considering carbon emissions[J]. The International Journal of Advanced Manufacturing Technology,2018.
[58] YIN R X,CAO H J,LI H C,et al. A process planning method for reduced carbon emissions[J]. International Journal of Computer Integrated Manufacturing,2014,27(12):1175-1186.
[59] 罗毅,曹华军,李洪丞,等. 基于GRNN网络的CO₂气体保护焊工艺碳排放建模与参数优化[J]. 中国机械工程,2013,24(17):2398-2403.LUO Yi,CAO Huajun,LI Hongcheng,et al. Carbon emission model and parameter optimization of CO₂ shielded welding based on GRNN[J]. China Mechanical Engineering,2013,24(17):2398-2403.
[60] 尹瑞雪,曹华军,李洪丞,等. 砂型铸造生产系统碳排放量化方法及应用[J]. 计算机集成制造系统,2012,18(5):1071-1076.YIN Ruixue,CAO Huajun,LI Hongcheng,et al. Carbon emission quantification method of sand casting process and its application[J]. Computer Integrated Manufacturing Systems,2012,18(5):1071-1076.
[61] 尹瑞雪,曹华军,李洪丞. 基于函数化描述的机械制造工艺碳排放特性及其应用[J]. 计算机集成制造系统,2014,20(9):2127-2133.YIN Ruixue,CAO Huajun,LI Hongcheng. Carbon emission characteristics of mechanical manufacturing process based on functional description and its application[J]. Computer Integrated Manufacturing Systems,2014,20(9):2127-2133.
[62] 程海琴,曹华军,李洪丞,等. 基于碳效益的零部件制造工艺决策模型及应用[J]. 计算机集成制造系统,2013,19(8):2018-2025.CHENG Haiqin,CAO Huajun,LI Hongcheng,et al. Decision-making model of mechanical components based on carbon benefit and its application[J]. Computer Integrated Manufacturing Systems,2013,19(8):2018-2025.
[63] 曹华军,李洪丞,杜彦斌,等. 低碳制造研究现状、发展趋势及挑战[J]. 航空制造技术,2012(9):26-31.CAO Huajun,LI Hongcheng,DU Yanbin,et al. Current situation and development trend of low-carbon manufacturing[J] Aeronautical Manufacturing Technology,2012(9):26-31.
[64] ISO 14955-1:2017. Machine tools-Environmental evaluation of machine tools-Part 1:Design methodology for energy-efficient machine tools[S]. Geneva:ISO,2017.
[65] ISO 14955-2:2018. Machine tools-Environmental evaluation of machine tools-Part 2:Methods for measuring energy supplied to machine tools and machine tool components[S]. Geneva:ISO,2018.
[66] ISO 14955-3:2020. Machine tools-Environmental evaluation of machine tools-Part 3:Principles for testing metal-cutting machine tools with respect to energy efficiency[S]. Geneva:ISO,2020.
[67] 中国机床工具工业协会. 机床企业如何实施碳中和,DMG MORI打了样[EB/OL].[2021-07-30]. https://www.jc35.com/news/detail/79523.html.China Machine Tool and Tool Industry Association. How to implement carbon neutralization in machine tool enterprises, DMG MORI made samples[EB/OL] [2021-07-30]. https://www.jc35.com/news/detail/79523.html.
[68] TUO J,LIU P,LIU F. Dynamic acquisition and real-time distribution of carbon emission for machining through mining energy data[J]. IEEE Access,2019,7:78963-78975.
[69] SHROUF F,MIRAGLIOTTA G. Energy management based on Internet of Things:practices and framework for adoption in production management[J]. Journal of Cleaner Production,2015,100:235-246.
[70] CHEN E H,CAO H J,HE Q Y,Et al. An IoT based framework for energy monitoring and analysis of die casting workshop[J]. Procedia CIRP,2019,80:693-698.
[71] CHEN X Z,LI C B,TANG Y,et al. An Internet of Things based energy efficiency monitoring and management system for machining workshop[J]. Journal of Cleaner Production,2018,199,957-968.
[72] LIU G,CHEN R,XU P,et al. Real-time carbon emission monitoring in prefabricated construction[J]. Automation in Construction,2020,110(3):102945.
[73] SHAMSUZZAMAN M,SHAMSUZZOHA A,MAGED A,et al. Effective monitoring of carbon emissions from industrial sector using statistical process control[J]. Applied Energy,2021,300:117352.
[74] LIU Z,SUN T C,YU Y. Near-Real-Time Carbon Emission Accounting Technology Toward Carbon Neutrality[J]. Engineering,2022. In press.
[75] ZHANG C Y,JI W X. Digital twin-driven carbon emission prediction and low-carbon control of intelligent manufacturing job-shop[J]. Procedia CIRP,2019,83,624-629
[76] LEIDEN A,HERRMANN C,THIEDE S. Cyber-physical Production system approach for energy and resource efficient planning and operation of plating process chains[J]. Journal of Cleaner Production,2021,280:125160.
[77] KUMAR R,ROGALL C,THIEDE S,et al. Development of a decision support system for 3D printing processes based on cyber physical production systems[J]. Procedia CIRP,2021,98:348-353.
[78] FERRARI AM,VOLPI L,SETTEMBRE BD,et al. Dynamic life cycle assessment (LCA) integrating life cycle inventory (LCI) and Enterprise resource planning (ERP) in an industry 4.0 environment[J]. Journal of cleaner production,2021,286:125314.
[79] FANG K,UHAN N,ZHAO F,et al. A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction[J]. Journal of Manufacturing System,2011,30(4):234-240.
[80] MENG Q,ARSECULARATNE JA,MATHEW P. Calculation of optimum cutting conditions for turning operations using a machining theory[J]. International Journal of Machine Tools & Manufacture,2000,40(12):1709-33.
[81] NING Tao,WANG Zi,ZHANG Peng,et al. Integrated optimization of disruption management and scheduling for reducing carbon emission in manufacturing[J]. Journal of Cleaner Production,2020,263,121449.
[82] NING T,HUANG Y. Low carbon emission management for flexible job shop scheduling:a study case in China[J]. Journal of Ambient Intelligence and Humanized Computing,2021.
[83] LI Y B,HUANG W X,WU R,et al. An improved artificial bee colony algorithm for solving multi-objective low-carbon flexible job shop scheduling problem[J]. Applied Soft Computing,2020,95,106544.
[84] SUN X P,WANG Y,KANG H W,et al. Modified multi-crossover operator NSGA-III for solving low carbon flexible job shop scheduling problem[J]. Processes,2020.
[85] LIU Q,LIU J,DONG Z,et al. Integrated optimization of process planning and scheduling for reducing carbon emissions[J]. Journal of Industrial and Management Optimization,2017,13(5):1025-1055.
[86] LI H,YANG H,CAO H,et al. State space modelling carbon emission dynamics of machining workshop based on carbon efficiency[J]. International Journal of Computer Integrated manufacturing,2018,31(4-5):426-441.
[87] LI H C,CAO H J. An Optimization Model for Carbon Efficiency of a Job-shop Manufacturing System[J]. Procedia CIRP,2015,28:113-118.
[88] SHIMODA M. LCA case of machine tool[A]. In Symposium 2002 of the Japan Society for Precision Engineering Spring Annual Meeting,2002,pp. 37-41.
[89] 赵晓雁,沈敏,王静宝. 基于低碳制造的机械加工工艺评价模型及应用[J]. 机械设计与制造,2013(1):81-83.ZHAO Xiaoyan,SHEN Min,WANG Jingbao. Evaluation model and application of machining process based on low carbon manufacturing[J]. Machinery Design & Manufacture,2013(1):81-83.
[90] ZHAO L,FANG Y,LOU P,et al. Cutting parameter optimization for reducing carbon emissions using digital twin[J]. International Journal of Precision Engineering and Manufacturing,2021,22,933-949.
[91] TIAN C L,ZHOU G H,LU Q,et al. An integrated decision-making approach on cutting tools and cutting parameters for machining features considering carbon emissions[J]. International Journal of Computer Integrated Manufacturing,2019,32:7,629-641.
[92] ZHOU G H,ZHOU C,TIAN C L,et al. Feature-based carbon emission quantitation strategy for the part machining process[J]. International Journal of Computer Integrated Manufacturing,2017,1-20.
[93] YI Q,LI C,ZHANG X,LIU F,et al. An optimization model of machining process route for low carbon manufacturing[J]. Int J Advanced Manufacturing Technology,2015,80(5-8):1181-1196.
[94] LI L,YAN J,XING Z. Energy requirements evaluation of milling machines based on thermal equilibrium and empirical modelling[J]. Journal of Cleaner Production,2013,53:113-121.
[95] CAO H J,LI H C,CHENG H Q,et al. A carbon efficiency approach life-cycle carbon emission characteristics of machine tools[J]. Journal of Cleaner Production,2012,37:19-28.
[96] ZHU S,JIANG Z G,ZHANG H,et al. A carbon efficiency evaluation method for manufacturing process chain decision-making[J]. Journal of Cleaner Production,2017,148:665-680.
[97] 段诚茂,曹华军,李洪丞,等. 基于碳效率的铝合金激光焊接工艺系统低碳优化方法[J]. 计算机集成制造系统,2021(5):1-16.DUAN Chengmao,CAO Huajun,LI Hongcheng, et al. Low-carbon optimization method of aluminum alloy laser welding process system based on carbon efficiency[J]. Computer Integrated Manufacturing Systems,2021(5):1-16.
[98] LI H C,CAO H J,PAN XY. A carbon emissions analysis model for electronics manufacturing process based on value-stream mapping and sensitivity analysis[J]. International Journal of Computer Integrated Manufacturing,2012,25(12):1102-1110.
[99] DOUMPOS M, ZOPOUNIDIS C, KOUTSOGIANNOPOULOS S. A data envelopment analysis approach for the evaluation of road traffic police efficiency in Greece. Multiple Criteria Decision Aiding,2010:201-212.
[100] LI W,ALVANDI S,KARA S,et al. Sustainability Cockpit:An integrated tool for continuous assessment and improvement of sustainability in manufacturing[J]. CIRP Annals-Manufacturing Technology,2016,65:5-8.
[101] ALVANDI S,LI W,SCHONEMANN M,et al. Economic and environmental value stream map (E2VSM) simulation for multi-product manufacturing systems[J]. International Journal of Sustainable Engineering,2016,9(6):354-362.
[102] DOMIZIO G D,MENGHI R,PAPERTTI A,et al. A method for lean energy assessment of manufacturing systems[J]. Procedia CIRP,2019,81:1447-1452.
[103] WEN X H,CAO H J,HON B,et al. Energy value mapping:A novel lean method to integrate energy efficiency into production management[J]. Energy,2020,217(15):119353.
[104] GUTOWSKI TG. The Carbon and Energy Intensity of Manufacturing[C]. 40th CIRP International Manufacturing Systems Seminar at Liverpool University May 30-June 1,2007.
[105] TRIDECH S,CHENG K. Low Carbon Manufacturing:characterisation,theoretical models and implementation.[J]. International Journal of Manufacturing Research,2008,6(6):110-121.
[106] PERRY S,KLEMES J,BULATOV I. Integrating waste and renewable energy to reduce the carbon footprint of locally integrated energy sectors[J]. Energy Oxford,2008,33 10):1489-1497.
[107] MARTIN N,ANGLANI N,EINSTEIN D,et al. Opportunities to improve energy efficiency and reduce greenhouse gas emissions in the U.S. pulp and paper industry[R]. Lawrence Berkeley National Laboratory,U.S.A,2000.
[108] TRIDECH S,CHENG K. Low carbon manufacturing:characterization,theoretical models and implementation[C]//The 6th International Conference on Manufacturing Research (ICMR08),UK,2008:403-412.
[109] BARECKA M H,AGER J W,LAPKIN A A. Carbon neutral manufacturing via on-site CO₂ recycling[J]. iScience,2021,24,102514.
[110] 夏西强,朱庆华,路梦圆. 外包制造下碳交易对低碳供应链影响及协调机制研究[J].系统工程理论与实践,2022,42(5):1290-1302.XIA Xiqiang,ZHU Qinghua,LU Mengyuan. Studying on the impact of carbon trading on LCSC and coordination mechanism based on outsourcing manufacturing[J]. Systems Engineering-Theory & Practice,2022,42(5):1290-1302.
[111] XIA XQ,LI CY,ZHU QH. Game analysis for the impact of carbon trading on low-carbon supply chain[J]. Journal of Cleaner Production,2020,276,123220.
[112] KARTHICK B,UTHAYAKUMAR R. Impact of carbon emission reduction on supply chain model with manufacturing decisions and dynamic lead time under uncertain demand[J]. Cleaner Logistics and Supply Chain,2022,4,100037.
[113] GOLPIRA H,JAVANMARDAN A. Robust optimization of sustainable closed-loop supply chain considering carbon emission schemes[J]. Sustainable Production and Consumption,2022,30:640-656.