产品方案低碳设计研究综述与展望

doi:10.3901/JME.2023.07.002

机械工程学报 ›› 2023, Vol. 59 ›› Issue (7): 2-17.doi: 10.3901/JME.2023.07.002

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产品方案低碳设计研究综述与展望

孔琳^1,2, 李方义^1,2,3, 王黎明^1,2,3, 周家璇^1,2, 蔡泽康^1,2, 马艳^1,2

1. 山东大学高效洁净机械制造教育部重点实验室济南 250061;
2. 山东大学机械工程学院济南 250061;
3. 山东大学国家机械工程实验教学示范中心济南 250061

收稿日期:2022-05-17 修回日期:2022-07-08 出版日期:2023-04-05 发布日期:2023-06-16
通讯作者: 李方义(通信作者),男,1969年出生,博士,教授,博士研究生导师。主要研究方向为绿色设计和制造、生命周期评价、再制造方法和技术。E-mail:lifangyi@sdu.edu.cn
作者简介:孔琳,女,1992年出生,博士研究生。主要研究方向为低碳设计、生命周期评估、决策优化。E-mail:konglin@mail.sdu.edu.cn;王黎明,男,1986年出生,博士,副教授,硕士研究生导师。主要研究方向为绿色设计与制造。E-mail:liming_wang@sdu.edu.cn;周家璇,女,1999年出生,硕士研究生。主要研究方向为绿色设计、多准则决策。E-mail:zhoujiaxuan@mail.sdu.edu.cn;蔡泽康,男,1999年出生,硕士研究生。主要研究方向为低碳设计、冲突消解。E-mail:caizekang@mail.sdu.edu.cn;马艳,女,1993年出生,博士研究生。主要研究方向为绿色设计与制造、生命周期评价。E-mail:mayan2020@mail.sdu.edu.cn
基金资助:
国家重点研发计划(2020YFB1711601)、国家自然科学基金(52175473)和山东省重点技术研发计划(2020CXGC011004)

Overview and Prospects of Low Carbon Design of Products

KONG Lin^1,2, LI Fangyi^1,2,3, WANG Liming^1,2,3, ZHOU Jiaxuan^1,2, CAI Zekang^1,2, MA Yan^1,2

1. Key Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education, Shandong University, Jinan 250061;
2. School of Mechanical Engineering, Shandong University, Jinan 250061;
3. National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan 250061

Received:2022-05-17 Revised:2022-07-08 Online:2023-04-05 Published:2023-06-16

摘要/Abstract

摘要： 温室气体(GHGs)排放是全球气候问题日益严重的重要原因，成为人类社会面临的共同挑战。产品设计阶段对其生命周期的环境产生重要影响，低温室气体排放产品的设计和开发对于缓解气候变化至关重要。聚焦于产品方案低碳设计的“设计-评价-再设计”过程，围绕产品方案的低碳设计信息建模、碳足迹评估、低碳决策优化以及低碳设计工具开发四个方面，分析了其研究的现状与应用场景。针对现有产品方案低碳设计研究存在的设计信息关联难集成、清单数据动态难获取、设计信息海量难优化、设计工具分散难融合等问题，提出了产品方案低碳设计的发展愿景和研究方向：1) 复杂映射关联机制下的设计信息集成建模，2) 融合设计场景的碳足迹评估策略，3) 低碳设计多目标、多阶段智能决策优化方法，以及4) 低碳设计集成工具开发。

关键词: 产品低碳设计, 设计信息建模, 碳足迹评估, 低碳决策优化, 低碳设计工具

Abstract: The emission of greenhouse gases (GHGs) is an important cause of climate change problem, which has become the common challenges facing human society. The design phase of a product has an important impact on the environment during its life cycle, and the design and development of a low GHGs emission product is crucial for mitigating climate change. To this end, this paper focuses on the procedure of product low carbon design, namely, design- assessment -redesign, and discusses current hot issues of product low-carbon design from four aspects, i.e., modeling, carbon footprint assessment, decision-making and optimization and low carbon design tools. Moreover, the future research trends of product low carbon design are discussed from the following aspects with the problem of complex information association, dynamic inventory data, complex optimization process, and independent design tools: 1) the life cycle integrated model considering the mapping association mechanism, 2) the carbon footprint assessment on the basis of design scenarios, 3) multi-objective and and multi-stage decision making and optimization for low-carbon design, and 4) the integrated tool of low-carbon design.

Key words: product low carbon design, design information modeling, carbon footprint assessment, low carbon decision making and optimization, low carbon design tool

中图分类号:

TH122

孔琳, 李方义, 王黎明, 周家璇, 蔡泽康, 马艳. 产品方案低碳设计研究综述与展望[J]. 机械工程学报, 2023, 59(7): 2-17.

KONG Lin, LI Fangyi, WANG Liming, ZHOU Jiaxuan, CAI Zekang, MA Yan. Overview and Prospects of Low Carbon Design of Products[J]. Journal of Mechanical Engineering, 2023, 59(7): 2-17.

参考文献

[1] HAN H, QIAO Q,LIU Z,et al. Comparing the life cycle greenhouse gas emissions from vehicle production in China and the USA:Implications for targeting the reduction opportunities[J]. Clean Technologies and Environmental Policy,2017,19(5):1509-1522.
[2] MATEMILOLA S,FADEYI O,SIJUADE T. Paris agreement[EB]. 2016-11-04. https://www.un.org/en/climatechange/paris-agreement.
[3] United Nations Framework Convention on Climate Change (Organization). Kyoto protocol to the United Nations framework convention on climate change[J]. Review of European Comparative & International Environmental Law,2010,7(2):214-217.
[4] LAU L C,LEE K T,MOHAMED A R. Global warming mitigation and renewable energy policy development from the Kyoto Protocol to the Copenhagen Accord-A comment[J]. Renewable & Sustainable Energy Reviews,2012,16(7):5280-5284.
[5] TIAN Y,XIONG S,MA X,et al. Structural path decomposition of carbon emission:A study of China's manufacturing industry[J]. Journal of Cleaner Production,2018,193:563-574.
[6] TIAN C,ZHOU G,ZHANG J,et al. Optimization of cutting parameters considering tool wear conditions in low-carbon manufacturing environment[J]. Journal of Cleaner Production,2019,226:706-719.
[7] MA Y,LI F,WANG L,et al. Life cycle carbon emission assessments and comparisons of cast iron and resin mineral composite machine tool bed in China[J]. The International Journal of Advanced Manufacturing Technology,2021,113(11):1143-1152.
[8] DOWLATSHAHI S. Product design in a concurrent engineering environment:An optimization approach[J]. International Journal of Production Research,2007,30(8):1803-1818.
[9] ZHANG L,JIANG R,JIN Z F,et al. CAD-based identification of product low-carbon design optimization potential:A case study of low-carbon design for automotive in China[J]. International Journal of Advanced Manufacturing Technology,2018.
[10] 徐兴硕,李方义,周丽蓉,等. 产品低碳设计研究现状与发展趋势[J]. 计算机集成制造系统,2016,22(7):1609-1618. XU Xingshuo,LI Fangyi,ZHOU Lirong,et al. Status and future trends research on low carbon design[J]. Computer Integrated Manufacturing Systems,2016,22(7):1609-1618.
[11] 彭鑫,李方义,王黎明,等. 产品低碳设计方法研究进展[J]. 计算机集成制造系统,2018,24(11):2846-2856. PENG Xin,LI Fangyi,WANG Liming,et al. Research progress of low-carbon design method for products[J]. Computer Integrated Manufacturing Systems,2018,24(11):2846-2856.
[12] HE B,ZHANG D,GU Z,et al. Skeleton model-based product low carbon design optimization[J]. Journal of Cleaner Production,2020,264:121687.
[13] FLORINDO T J,FLORINDO G I B D M,TALAMINI E,et al. Application of the multiple criteria decision-making approach in the identification of carbon footprint reduction actions in the Brazilian beef production chain[J]. Journal of Cleaner Production,2018,196:1379-1389.
[14] 张秀芬. 复杂产品可拆卸性分析与低碳结构进化设计技术研究[D]. 杭州:浙江大学,2011. ZHANG Xiufen. Complex product disassemblability analysis and structure design for low-carbon[D]. Hangzhou:Zhejiang University,2011.
[15] 孙良峰,裘乐淼,张树有,等. 面向低碳化的复杂产品材料回收策略模型及应用[J]. 机械工程学报,2013,49(11):143-152. SUN Liangfeng,QIU Lemiao,ZHANG Shuyou,et al. Material recycling model of complex products and its application for green material selection[J]. Journal of Mechanical Engineering,2013,49(11):143-152.
[16] 李育锋,何彦,黄桃,等. 考虑产品制造过程环境影响的轻量化设计方法[J]. 计算机集成制造系统,2018,24(9):2306-2313. LI Yufeng,HE Yan,HUANG Tao,et al. Lightweight design method considering environmental impacts in products manufacturing stage[J]. Computer Integrated Manufacturing Systems,2018,24(9):2306-2313.
[17] HU L,TANG R,HE K,et al. Estimating machining-related energy consumption of parts at the design phase based on feature technology[J]. International Journal of Production Research,2015,53(23-24):7016-7033.
[18] KONG L,WANG L,LI F,et al. Multi-layer integration framework for low carbon design based on design features[J]. Journal of Manufacturing Systems,2021,61:223-238.
[19] ZHOU G,ZHOU C,LU Q,et al. Feature-based carbon emission quantitation strategy for the part machining process[J]. International Journal of Computer Integrated Manufacturing,2017,31(4-5):406-425.
[20] LI C,LI P,LIU F,et al. Multi-objective NC machining parameters optimization model for high efficiency and low carbon[J]. Journal of Mechanical Engineering,2014,49(9):87.
[21] 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.
[22] KONG L,WANG L M,LI F Y,et al. A life-cycle integrated model for product eco-design in the conceptual design phase[J]. Journal of Cleaner Production,2022,363:132516.
[23] 鲍宏,胡迪,张城,等. 基于进化潜力分析的产品低碳创新设计[J]. 计算机集成制造系统,2018,24(8):2053-2060. BAO Hong,HU Di,ZHANG Cheng,et al. Innovative design method for low-carbon product based on evolution potential analysis[J]. Computer Integrated Manufacturing Systems,2018,24(8):2053-2060.
[24] WANG G,LI F,ZHAO F,et al. A product carbon footprint model for embodiment design based on macro-micro design features[J]. The International Journal of Advanced Manufacturing Technology,2021,116(2):3839-3857.
[25] HE B,WANG J,HUANG S,et al. Low-carbon product design for product life cycle[J]. Journal of Engineering Design,2015,26(10-12):321-339.
[26] PENG J,LI W,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.
[27] LIU J,HUANG Z,WANG X. Economic and environmental assessment of carbon emissions from demolition waste based on LCA and LCC[J]. Sustainability,2020,12(16):1-12.
[28] ISLAM S,PONNAMBALAM S G,LAM H L. Review on life cycle inventory:Methods,examples and applications[J]. Journal of Cleaner Production,2016,136:266-278.
[29] LINKE B S,DORNFELD D A. Application of axiomatic design principles to identify more sustainable strategies for grinding[J]. Journal of Manufacturing Systems,2012,31(4):412-419.
[30] XIAO R,ZHANG Y,LIU X,et al. A life-cycle assessment of household refrigerators in China[J]. Journal of Cleaner Production,2015,95:301-310.
[31] WANG F,DENG Y,YUAN C. Life cycle assessment of lithium oxygen battery for electric vehicles[J]. Journal of Cleaner Production,264:121339.
[32] FILLETI R,LOPES SILVA D A,DA SILVA E J,et al. Productive and environmental performance indicators analysis by a combined LCA hybrid model and real-time manufacturing process monitoring:A grinding unit process application[J]. Journal of Cleaner Production,2017,161:510-523.
[33] KARKA P,PAPADOKONSTANTAKIS S,KOKOSSIS A. Environmental impact assessment of biomass process chains at early design stages using decision trees[J]. The International Journal of Life Cycle Assessment,2019,24(9):1675-1700.
[34] CAMPITELLI A,CRISTOBAL J,FISCHER J,et al. Resource efficiency analysis of lubricating strategies for machining processes using life cycle assessment methodology[J]. Journal of Cleaner Production,2019,222:464-475.
[35] HE B,TANG W,HUANG S,et al. Low-carbon conceptual design based on product life cycle assessment[J]. The International Journal of Advanced Manufacturing Technology,2015,81(5-8):863-874.
[36] 曹华军,李洪丞,宋胜利,等. 基于生命周期评价的机床生命周期碳排放评估方法及应用[J]. 计算机集成制造系统,2011,17(11):2432-2437. CAO Huajun,LI Hongcheng,SONG Shengli,et al. Evaluation method and application for carbon emissions of machine tool based on life cycle assessment[J]. Computer Integrated Manufacturing Systems,2011,17(11):2432-2437.
[37] SHOAIB U H S,ROCI M,ASIF F,et al. Analyzing temporal variability in inventory data for life cycle assessment:Implications in the context of circular economy[J]. Sustainability,2021,13(1):344.
[38] YU S,TAO J. Economic,energy and environmental evaluations of biomass-based fuel ethanol projects based on life cycle assessment and simulation[J]. Applied Energy,2009,86:178-188.
[39] ZHANG Y,LUO X,BUIS J J,et al. LCA-oriented semantic representation for the product life cycle[J]. Journal of Cleaner Production,2015,86:146-162.
[40] AISAREJI O J,GRMASHA R A. A sustainable approach of toaster by using simplified life cycle assessment:A case study[J]. International Journal of Advanced Science and Technology,2020,29:5910-5919.
[41] DANILECKI K,MROZIK M,SMURAWSKI P. Changes in the environmental profile of a popular passenger car over the last 30 years-Results of a simplified LCA study[J]. Journal of Cleaner Production,2017,141:208-218.
[42] 任设东. 面向产品低碳设计的可拓知识演化方法研究[D]. 杭州:浙江工业大学,2018. REN Shedong. Extension knowledge evolution method for product low-carbon design[D]. Hangzhou:Zhejiang University of Technology,2018.
[43] 马艳,李方义,王黎明,等. 基于多层级数据分配的机床生命周期环境影响评价[J]. 计算机集成制造系统,2021,27(3):757-769. MA Yan,LI Fangyi,WANG Liming,et al. Life cycle environmental impact assessment of machine tool based on multi-level data distribution[J]. Computer Integrated Manufacturing Systems,2021,27(3):757-769.
[44] ZHANG X,ZHANG S,HU Z,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.
[45] HE Y,HAO C,WANG Y,et al. An ontology-based method of knowledge modelling for remanufacturing process planning[J]. Journal of Cleaner Production,2020,258:120952.
[46] JEONG M G,MORRISON J R,SUH H W. Approximate life cycle assessment via case-based reasoning for eco-design[J]. IEEE Transactions on Automation Science and Engineering,2015,12(2):716-728.
[47] ZHOU D,XUAN D. Combining granular computing and RBF neural network for process planning of part features[J]. International Journal of Advanced Manufacturing Technology,2015,81(9):1447-1462.
[48] ZHANG Y,REN S,LIU Y,et al. A framework for big data driven product lifecycle management[J]. Journal of Cleaner Production,2017,159:229-240.
[49] ZHOU C,YIN G,HU X. Multi-objective optimization of material selection for sustainable products:Artificial neural networks and genetic algorithm approach[J]. Materials & Design,2009,30(4):1209-1215.
[50] 任设东,赵燕伟,洪欢欢,等. 一种面向低碳设计的多属性相似实例检索方法[J]. 机械工程学报,2019,55(1):149-159. REN Shedong,ZHAO Yanwei,HONG Huanhuan,et al. A retrieval method for similar cases with multiple attributes in low-carbon design[J]. Journal of Mechanical Engineering,2019,55(1):149-159.
[51] SAYYED A K,FARID B,NATHAN P. Optimized feed-forward neural networks to address CO₂-equivalent emissions data gaps-Application to emissions prediction for unit processes of fuel life cycle inventories for Canadian provinces[J]. Journal of Cleaner Production,2022,332:130053.
[52] MENG Q,LI F,ZHOU L R,et al. A rapid life cycle assessment method based on green features in supporting conceptual design[J]. International Journal of Precision Engineering and Manufacturing-Green Technology,2015,2(2):189-196.
[53] BENETTO E,DUJET C,ROUSSEAUX P. Integrating fuzzy multicriteria analysis and uncertainty evaluation in life cycle assessment[J]. Environment Modeling and Software,2008,23(12):1461-1467.
[54] PENG S,LI T,ZHAO J,et al. Petri net-based scheduling strategy and energy modeling for the cylinder block remanufacturing under uncertainty[J]. Robotics and Computer-Integrated Manufacturing,2019,58:208-219.
[55] HONG J,SHAKED S,ROSENBAUM R K,et al. Analytical uncertainty propagation in life cycle inventory and impact assessment:Application to an automobile front panel[J]. International Journal of Life Cycle Assessment,2010,15(5):499-510.
[56] WANG L,LI F,LI J,et al. Sensitivity and uncertainty analysis of life-cycle assessment based on multivariate regression analysis[C]//International Conference on Responsive Manufacturing-green Manufacturing. IET,2010.
[57] XU C,TANG T,JIA H,et al. Benefits of coupled green and grey infrastructure systems:Evidence based on analytic hierarchy process and life cycle costing[J]. Resources,Conservation and Recycling,2019,151:104478.
[58] UMEDA Y,FUKUSHIGE S,TONOIKE K. Evaluation of scenario-based modularization for lifecycle design[J]. CIRP Annals-Manufacturing Technology,2009,58(1):1-4.
[59] KUO T,CHEN H,LIU C,et al. Applying multi-objective planning in low-carbon product design[J]. International Journal of Precision Engineering and Manufacturing,2014,15(2):241-249.
[60] 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.
[61] ZHOU G,LU Q,XIAO Z,et al. Ontology-based cutting tool configuration considering carbon emissions[J]. International Journal of Precision Engineering & Manufacturing,2017,18(11):1641-1657.
[62] YOSHIZAKI Y,YAMADA T,ITSUBO N,et al. Material based low-carbon and economic supplier selection with estimation of CO2 emissions and cost using life cycle inventory database[J]. Journal of Japan Industrial Management Association,2016,66(4):435-442.
[63] YIN R,KE J,MENDIS G,et al. A cutting parameter-based model for cost and carbon emission optimization in a NC turning process[J]. International Journal of Computer Integrated Manufacturing,2019(2):1-17.
[64] ZHOU G,ZHANG C,LU F,et al. Integrated optimization of cutting parameters and tool path for cavity milling considering carbon emissions[J]. Journal of Cleaner Production,2020,250:119454.
[65] KENTO,IGRASGI,TETSUO,et al. Disassembly system modeling and design with parts selection for cost,recycling and CO2 saving rates using multi criteria optimization-ScienceDirect[J]. Journal of Manufacturing Systems,2016,38:151-164.
[66] XU Z,WANG Y,TENG Z,et al. Low-carbon product multi-objective optimization design for meeting requirements of enterprise,user and government[J]. Journal of Cleaner Production,2015,103:747-758.
[67] CHENG J Y,CHEN J L. Accelerating preliminary eco-innovation design for products that integrates case-based reasoning and TRIZ method[J]. Journal of Cleaner Production,2011,19(9-10):998-1006.
[68] 陈建,赵燕伟,李方义,等. 基于转换桥方法的产品绿色设计冲突消解[J]. 机械工程学报,2010,46(9):132-142. CHEN Jian,ZHAO Yanwei,LI Fangyi,et al. Transforming bridge-based conflict resolution for product green design[J]. Journal of Mechanical Engineering,2010,46(9):132-142.
[69] 洪欢欢. 面向产品低碳设计的多因素冲突协调方法[D]. 杭州:浙江工业大学,2014. HONG Huanhuan. Coordination method of multi-factors conflicts for product low-carbon design[D]. Hangzhou:Zhejiang University of Technology,2014.
[70] 孔琳,王黎明,李方义,等. 基于机床加工匹配特性的混合流水车间绿色生产调度[J]. 计算机集成制造系统,2019,25(5):1075-1085. KONG Lin,WANG Liming,LI Fangyi,et al. Sustainable scheduling for hybrid flow-shop based on performance matching of machine tools[J]. Computer Integrated Manufacturing Systems,2019,25(5):1075-1085.
[71] SU J,CHU C,WANG Y. A decision support system to estimate the carbon emission and cost of product designs[J]. International Journal of Precision Engineering and Manufacturing,2012,13(7):1037-1045.
[72] TIAN C. ZHOU G,ZHANG J,ZHANG C,et al. Optimization of cutting parameters considering tool wear conditions in low-carbon manufacturing environment[J]. Journal of Cleaner Production,2019,226:706-717.
[73] DENG Z,LV L,HUANG W,et al. Modelling of carbon utilization efficiency and its application in milling parameters optimization[J]. International Journal of Production Research,2020,58(3):1-15.
[74] 鲍宏,刘光复,王吉凯. 采用碳足迹分析的产品低碳优化设计[J]. 计算机辅助设计与图形学学报,2013,25(2):264-272. BAO Hong,LIU Guangfu,WANG Jikai. Optimal design of products with low-carbon based on carbon footprint analysis[J]. Journal of Computer-Aided Design and Computer Graphics,2013,25(2):264-272.
[75] CHIANG T A,CHE Z H. A decision-making methodology for low-carbon electronic product design[J]. Decision Support Systems,2015,71:1-13.
[76] WANG Q,TANG D,YIN L,et al. Bi-objective optimization for low-carbon product family design[J]. Robotics and Computer Integrated Manufacturing:An International Journal of Manufacturing and Product and Process Development,2016,41:53-65.
[77] TAMBOURATZIS T,KARALEKAS D,MOUSTAKAS N. A methodological study for optimizing material selection in sustainable product design[J]. Journal of Industrial Ecology,2015,18(4):508-516.
[78] NI H,YAN C,CAO W,et al. A novel parameter decision approach in hobbing process for minimizing carbon footprint and processing time[J]. The International Journal of Advanced Manufacturing Technology,2020,111(11-12):3405-3419.
[79] KONG L,WANG L,LI F,et al. A new sustainable scheduling method for hybrid flow-shop subject to the characteristics of parallel machines[J]. IEEE Access,2020,8:79998-80009.
[80] TANG D,DAI M,SALIDO M A,et al. Energy-efficient dynamic scheduling for a flexible flow shop using an improved particle swarm optimization[J]. Computers in Industry,2016,81:82-95.
[81] WANG K,LI X,GAO L. Modeling and optimization of multi-objective partial disassembly line balancing problem considering hazard and profit[J]. Journal of Cleaner Production,2018,211:115-133.
[82] GAO Y,LIU Z,HU D,et al. Selection of green product design scheme based on multi-attribute decision-making method[J]. International Journal of Sustainable Engineering,2010,3(4):277-291.
[83] 伍晓榕,张树有,裘乐淼,等. 面向绿色制造的加工工艺参数决策方法及应用[J]. 机械工程学报,2013,49(7):91-100. WU Xiaorong,ZHANG Shuyou,QIU Lemiao,et al. Decision making method of process parameter selection for green manufacturing based on a dematel-vikor algorithm[J]. Journal of Mechanical Engineering,2013,49(7):91-100.
[84] LIU J,WANG L,LI F,et al. Evaluation and improvement of the greenness of plasma spraying through life cycle assessment and grey relational analysis[J]. The International Journal of Life Cycle Assessment,2021,26:1586-1606.
[85] LI F,LI J,DUAN G,et al. Green Design-oriented product AHP life cycle environmental impact assessment model[C]//International Technology & Innovation Conference. IET,2009. 1020-1025.
[86] LIU J,ZENG F,WEI X. Research on applying fuzzy comprehensive evaluation method to conceptual design of marine power plant based on QFD[C]//Sixth International Symposium on Computational Intelligence & Design. IEEE,2014.
[87] CHEN C,HU M,CHEN W,et al. Fuzzy evaluation on design schemes of multi-deployment & locking mechanism for solar wings[C]//IEEE International Conference on Mechatronics and Automation, Xi'an,China,2010:11576477.
[88] ZHANG H,LI Z,YANG J,et al. Construction of design evaluation system base on fuzzy theory[C]//2019 International Joint Conference on Information,Media and Engineering (IJCIME). 2019.
[89] FENG C H,MAI Y F. Sustainability assessment of products based on fuzzy multi-criteria decision analysis[J]. The International Journal of Advanced Manufacturing Technology,2016,85(1/4):695-710.
[90] TIAN G,ZHANG H,ZHOU M C,et al. AHP,gray correlation,and TOPSIS combined approach to green performance evaluation of design alternatives[J]. IEEE Transactions on Systems,Man,and Cybernetics:Systems,2017,48(7):1093-1105.
[91] WANG X,CHAN H K,LI D. A case study of an integrated fuzzy methodology for green product development[J]. European Journal of Operational Research,2015,241(1):212-223.
[92] 赖荣燊,林文广,吴永明. 面向绿色性能优化的产品族模块再设计优先次序识别[J]. 中国机械工程,2019,30(11):1329-1335. LAI Rongshen,LIN Wenguang,WU Yongming. Redesign priority identification of product family modules for green performance optimization[J]. China Mechanical Engineering,2019,30(11):1329-1335.
[93] LIU A J,ZHU Q Y,JI X H,et al. Novel method for perceiving key requirements of customer collaboration low-carbon product design[J]. International Journal of Environmental Research and Public Health,2018,15(7):1446-1478.
[94] KHAN F I,SADIQ R,HUSAIN T. Green Pro-I:A risk-based life cycle assessment and decision-making methodology for process plant design[J]. Environmental Modelling and Software,2002,17(8):669-692.
[95] KUO T C,CHANG S H,HUANG S H. Environmentally conscious design by using fuzzy multi-attribute decision-making[J]. International Journal of Advanced Manufacturing Technology,2006,29(3-4):419-425.
[96] ZARANDI M,MANSOUR S,HOSSEINIJOU S A,et al. A material selection methodology and expert system for sustainable product design[J]. International Journal of Advanced Manufacturing Technology,2011,57(9-12):885-903.
[97] ALMEIDA C,RODRIGUES A,BONILLA S H,et al. Emergy as a tool for ecodesign:Evaluating materials selection for beverage packages in Brazil[J]. Journal of Cleaner Production,2010,18(1):32-43.
[98] 刘志峰,成焕波,袁合. 面向家电产品的易拆解可回收设计系统研究[J]. 中国机械工程,2014,25(16):2213-2218. LIU Zhifeng,CHENG Huanbo,YUAN He. Research on easy disassembly and recycling design system for household electrical appliances[J]. China Mechanical Engineering,2014,25(16):2213-2218.
[99] IGARASHI K,YAMADA T,INOUE M. Disassembly system design with environmental and economic parts selection using the recyclability evaluation method[J]. Journal of Japan Industrial Management Association,2013,64:293-302.
[100] REYES P M,MAN J,JASKA P,et al. Recycle system design for end-of-life electronics in developing countries[J]. International Journal of Integrated Supply Management,2021,14(1):101-129.
[101] LIU S,DU Y,LIN M. Study on lightweight structural optimization design system for gantry machine tool[J]. Concurrent Engineering,2019,27(2):170-185.
[102] LIU Z,LU J,ZHU P. Lightweight design of automotive composite bumper system using modified particle swarm optimizer[J]. Composite Structures,2016,140(4):630-643.
[103] PETERSSON H,MOTTE D,ERIKSSON M,et al. A computer-based design system for lightweight grippers in the automotive industry[C]//ASME International Mechanical Engineering Congress & Exposition. 2012.
[104] NAKANO K. Life-cycle assessment framework for adaptation planning to climate change:Linking regional climate impact with product design[J]. The International Journal of Life Cycle Assessment,2015,20(6):819-828.
[105] PAUDEL A M,KREUTZMANN P. Design and performance analysis of a hybrid solar tricycle for a sustainable local commute[J]. Renewable and Sustainable Energy Reviews,2015,41(1):473-482.
[106] LEUBRECHT S. Fundamental principles for CAD-based ecological assessments[J]. International Journal of Life Cycle Assessment,2005,10(6):436-444.

产品方案低碳设计研究综述与展望

Overview and Prospects of Low Carbon Design of Products

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