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《工程(英文)》 >> 2018年 第4卷 第1期 doi: 10.1016/j.eng.2018.01.002

走向新一代智能制造

a Chinese Academy of Engineering, Beijing 100088, China
b Huazhong University of Science and Technology, Wuhan 430074, China
c Tsinghua University, Beijing 100084, China

收稿日期: 2018-01-08 修回日期: 2018-01-18 录用日期: 2018-01-19 发布日期: 2018-03-05

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摘要

智能制造是一个不断演进发展的大概念,可归纳为三个基本范式:数字化制造、数字化网络化制造、数字化网络化智能化制造——新一代智能制造。新一代智能制造是新一代人工智能技术与先进制造技术的深度融合,贯穿于产品设计、制造、服务全生命周期的各个环节及相应系统的优化集成,不断提升企业的产品质量、效益、服务水平,减少资源能耗,是新一轮工业革命的核心驱动力,是今后数十年制造业转型升级的主要路径。“人- 信息- 物理系统”(HCPS)揭示了新一代智能制造的技术机理,能够有效指导新一代智能制造的理论研究和工程实践。基于智能制造三个基本范式次第展开、相互交织、迭代升级的特征,推进制造业智能转型应采取“并行推进、融合发展”的技术路线。

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参考文献

[ 1 ] Executive Office of the President, National Science and Technology Council. A national strategic plan for advanced manufacturing. Report. Washington, DC: Office of Science and Technology Policy; 2012 Feb.

[ 2 ] White House Office of the Press. President Obama launches Advanced Manufacturing Partnership [Internet]. Washington, DC: White House; [updated 2011 Jun 24; cited 2017 Dec 20]. Available from: https:// obamawhitehouse.archives.gov/the-press-office/2011/06/24/president-obama-launches-advanced-manufacturing-partnership.

[ 3 ] Kagermann H, Wahlster W, Helbig J. Recommendations for implementing the strategic initiative Industrie 4.0: Final report of the Industrie 4.0 Working Group. Munich: National Academy of Science and Engineering (acatech); 2013 Apr. 链接1

[ 4 ] Foresight. The future of manufacturing: A new era of opportunity and challenge for the UK. Project report. London: The Government Office for Science; 2013 Oct.

[ 5 ] The new face of industry in France [Internet]. Paris: Government of the French Republic; [cited 2017 Dec 20]. Available from: https://www.economie.gouv. fr/files/nouvelle_france_industrielle_english.pdf.

[ 6 ] Taki H. Towards technological innovation of Society 5.0. J Inst Electr Eng Jpn 2017;137(5):275. Japanese. 链接1

[ 7 ] Han SY. Industry Innovation 3.0. APO News 2014;44(4):8.

[ 8 ] State Council of the People’s Republic of China. ‘‘Made in China 2025” plan unveiled [Internet]. Beijing: State Council of the People’s Republic of China; [updated 2015 May 19; cited 2017 Dec 20]. Available from: http://www.gov. cn/zhengce/content/2015-05/19/content_9784.htm. Chinese.

[ 9 ] Evans PC, Annunziata M. Industrial Internet: Pushing the boundaries of minds and machines. Boston: General Electric; 2012.

[10] National Manufacturing Strategy Advisory Committee, Center of Strategic Studies of the Chinese Academy of Engineering. Intelligent manufacturing. Beijing: Publishing House of Electronics Industry; 2016. Chinese.

[11] Hu H, Zhao M, Ning Z, Guo Z, Chen Z, Zhu D, et al. Three-body intelligence revolution. Beijing: China Machine Press; 2016. Chinese.

[12] Lee J, Ni J, Wang AZ. From big data to intelligent manufacturing. Shanghai: Shanghai Jiao Tong University Press; 2016. Chinese.

[13] Lee J, Qiu B, Liu Z, Wei M. Cyber-physical system: The new-generation of industrial intelligence. Shanghai: Shanghai Jiao Tong University Press; 2017. Chinese.

[14] Zhou J. Intelligent manufacturing—Main direction of ‘‘Made in China 2025”. China Mech Eng 2015;26(17):2273–84. Chinese.

[15] Chen D, Heyer S, Ibbotson S, Salonitis K, Steingrímsson JG, Thiede S. Direct digital manufacturing: Definition, evolution, and sustainability implications. J Cleaner Prod 2015;107:615–25. 链接1

[16] Chryssolouris G, Mavrikios D, Papakostas N, Mourtzis D, Michalos G, Georgoulias K. Digital manufacturing: History, perspectives, and outlook. Proc Inst Mech Eng Part B 2009;223(5):451–62. 链接1

[17] Kang HS, Lee JY, Choi SS, Kim H, Park JH, Son JY, et al. Smart manufacturing: Past research, present findings, and future directions. Int J Precis Eng Manuf-Green Technol 2016;3(1):111–28. 链接1

[18] Shah R, Ward PT. Lean manufacturing: Context, practice bundles, and performance. J Oper Manag 2003;21(2):129–49. 链接1

[19] Shen W, Hao Q, Yoon HJ, Norrie DH. Applications of agent-based systems in intelligent manufacturing: An updated review. Adv Eng Inform 2006;20(4):415–31. 链接1

[20] Zhang L, Luo Y, Tao F, Li BH, Ren L, Zhang X, et al. Cloud manufacturing: A new manufacturing paradigm. Enterp Inf Syst 2014;8(2):167–87. 链接1

[21] Tao F, Cheng Y, Zhang L, Nee AYC. Advanced manufacturing systems: Socialization characteristics and trends. J Intell Manuf 2017;28(5): 1079–94. 链接1

[22] Browne J, Dubois D, Rathmill K, Sethi SP, Stecke KE. Classification of flexible manufacturing systems. FMS Mag 1984;2(2):114–7. 链接1

[23] Merchant ME. Manufacturing in the 21st century. J Mater Process Technol 1994;44(3–4):145–55.

[24] Pan Y. Heading toward artificial intelligence 2.0. Engineering 2016;2(4):409–13. 链接1

[25] Zhou J. Digitalization and intelligentization of manufacturing industry. Adv Manuf 2013;1(1):1–7. 链接1

[26] Brown RG. Driving digital manufacturing to reality. In: Joines JA, Barton RR, Kang K, Fishwick PA, editors 2000 Winter Simulation Conference proceedings; 2000 Dec 10–13; Orlando, FL, USA. Piscataway: Institute of Electrical and Electronics Engineers, Inc.; 2000. p. 224–8. 链接1

[27] Yoshikawa H. Manufacturing and the 21st century—Intelligent manufacturing systems and the renaissance of the manufacturing industry. Technol Forecast Soc Change 1995;49(2):195–213. 链接1

[28] Wu D, Rosen DW, Wang L, Schaefer D. Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation. Comput-Aided Des 2015;59:1–14. 链接1

[29] Tian GY, Yin G, Taylor D. Internet-based manufacturing: A review and a new infrastructure for distributed intelligent manufacturing. J Intell Manuf 2002;13(5):323–38. 链接1

[30] Lee J, Bagheri B, Kao HA. A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manuf Lett 2015;3:18–23. 链接1

[31] Li BH, Zhang L, Wang SL, Tao F, Cao JW, Jiang XD, et al. Cloud manufacturing: A new service-oriented networked manufacturing model. Comput Integr Manuf Sys 2010;16(1):1–7, 16. Chinese. 链接1

[32] Lee J. E-manufacturing—Fundamental, tools, and transformation. Robot Comput-Integr Manuf 2003;19(6):501–7. 链接1

[33] Stankovic JA. Research directions for the Internet of Things. IEEE IoT J 2014;1(1):3–9. 链接1

[34] Bryner M. Smart manufacturing: The next revolution. Chem Eng Prog 2012;10:4–8. 链接1

[35] Sendler U, editor. Industrie 4.0—Beherrschung der industriellen Komplexität mit SysLM. Wiesbaden: Springer Vieweg; 2013. German. 链接1

[36] Hermann M, Pentek T, Otto B. Design principles for Industrie 4.0 scenarios. In: Bui TX, Sprague RH Jr, editors Proceedings of the 49th Annual Hawaii International Conference on System Sciences; 2016 Jan 5–8; Kauai, HI, USA. Los Alamitos: IEEE Computer Society Press; 2016. p. 3928–37 链接1

[37] Jazdi N. Cyber physical systems in the context of Industry 4.0. In: Miclea L, Stoian I, Enyedi S, Va˘lean H, Stan O, Sanislav T, et al., editors Proceedings of 2014 IEEE International Conference on Automation, Quality and Testing, Robotics; 2014 May 22–24; Cluj-Napoca, Romania. Piscataway: Institute of Electrical and Electronic Engineers, Inc.; 2014. p. 1–4. 链接1

[38] Lu Y, Morris KC, Frechette S. Standards landscape and directions for smart manufacturing systems. In: Proceedings of 2015 IEEE International Conference on Automation Science and Engineering; 2015 Aug 24–28; Gothenburg, Sweden. Piscataway: Institute of Electrical and Electronic Engineers, Inc.; 2015. p. 998–1005. 链接1

[39] Zhong RY, Xu X, Klotz E, Newman ST. Intelligent manufacturing in the context of Industry 4.0: A review. Engineering 2017;3(5):616–30. 链接1

[40] Li BH, Hou BC, Yu WT, Lu XB, Yang CW. Applications of artificial intelligence in intelligent manufacturing: A review. Frontiers Inf Technol Electronic Eng 2017;18(1):86–96.

[41] Kusiak A. Smart manufacturing must embrace big data. Nature 2017;544 (7648):23–5. 链接1

[42] Atzori L, Iera A, Morabito G. The Internet of Things: A survey. Comput Netw 2010;54(15):2787–805. 链接1

[43] Mayer-Schönberger V, Cukier K. Big data: A revolution that will transform how we live, work, and think. London: John Murray; 2014.

[44] Marston S, Li Z, Bandyopadhyay S, Zhang J, Ghalsasi A. Cloud computing—The business perspective. Decis Support Syst 2011;51(1):176–89. 链接1

[45] Mell P, Grance T. The NIST definition of cloud computing. Technical report. Gaithersburg: National Institute of Standards and Technology; 2011 Sep. Report No.: SP 800-145. 链接1

[46] Fosso Wamba S, Akter S, Edwards A, Chopin G, Gnanzou D. How ‘‘big data” can make big impact: Findings from a systematic review and a longitudinal case study. Int J Prod Econ 2015;165:234–46. 链接1

[47] Wu J. Intelligence times. Beijing: China CITIC Press; 2016. Chinese.

[48] Han Q, Liang S, Zhang H. Mobile cloud sensing, big data, and 5G networks make an intelligent and smart world. IEEE Netw 2015;29(2):40–5. 链接1

[49] Executive Office of the President, National Science and Technology Council Committee on Technology. Preparing for the future of artificial intelligence. Washington, DC: Office of Science and Technology Policy; 2016.

[50] State Council of the People’s Republic of China. Development planning for a new generation of artificial intelligence [Internet]. Beijing: State Council of the People’s Republic of China; [updated 2017 Jul 20; cited 2017 Dec 20]. Available from: http://www.gov.cn/zhengce/content/2017-07/20/content_5211996.htm. Chinese.

[51] Brynjolfsson E, McAfee A. The second machine age: Work, progress, and prosperity in a time of brilliant technologies. New York: W. W. Norton and Company, Inc.; 2014.

[52] Sowe SK, Simmon E, Zettsu K, de Vaulx F, Bojanova I. Cyber-physical human systems: Putting people in the loop. IT Prof 2016;18(1):10–3. 链接1

[53] Ma M, Lin W, Pan D, Lin Y, Wang P, Zhou Y, et al. Data and decision intelligence for human-in-the-loop cyber-physical systems: Reference model, recent progresses and challenges. J Sign Process Syst 2017;4:1–12. 链接1

[54] Baheti R, Gill H. Cyber-physical systems. In: Samad T, Annaswamy AM, editors.The impact of control technology. New York: IEEE Control Systems Society; 2011. p. 161–6.

[55] Rajkumar R, Lee I, Sha L, Stankovic J. Cyber-physical systems: The next computing revolution. In: Proceedings of the 47th Design Automation Conference; 2010 Jun 13–18; Anaheim, CA, USA. New York: Association for Computing Machinery, Inc.; 2010. p. 731–6. 链接1

[56] Sha L, Gopalakrishnan S, Liu X, Wang Q. Cyber-physical systems: A new frontier.In: Singhal M, Serugendo GDM, Tsai JJP, Lee WC, Romer K, Tseng YC, et al., editors Proceedings of 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing; 2008 Jun 11–13; Taichung, Taiwan, China. Los Alamitos: IEEE Computer Society Press; 2008. p. 1–9. 链接1

[57] Schirner G, Erdogmus D, Chowdhury K, Padir T. The future of human-in-the-loop cyber-physical systems. Computer 2013;46(1):36–45. 链接1

[58] Meyer GG, Främling K, Holmström J. Intelligent products: A survey. Comput Ind 2009;60(3):137–48. 链接1

[59] Zuehlke D. SmartFactory—Towards a factory-of-things. Annu Rev Control 2010;34(1):129–38. 链接1

[60] Zhong RY, Dai QY, Qu T, Hu GJ, Huang GQ. RFID-enabled real-time manufacturing execution system for mass-customization production. Robot Comput-Integr Manuf 2013;29(2):283–92. 链接1

[61] Jardim-Goncalves R, Romero D, Grilo A. Factories of the future: Challenges and leading innovations in intelligent manufacturing. Int J Comput Integr Manuf 2017;30(1):4–14. 链接1

[62] Wang S, Wan J, Li D, Zhang C. Implementing smart factory of Industrie 4.0: An outlook. Int J Distrib Sens Netw 2016;12(1):1–10. 链接1

[63] Anderl R. Industrie 4.0—Advanced engineering of smart products and smart production. In: Proceedings of the 19th International Seminar on High Technology; 2014 Oct 9; Piracicaba, Brasil; 2014. p. 1–14. 链接1

[64] Holler M, Uebernickel F, Brenner W. Understanding the business value of intelligent products for product development in manufacturing industries. In: Proceedings of the 2016 8th International Conference on Information Management and Engineering; 2016 Nov 2–5; Istanbul, Turkey. New York: Association for Computing Machinery, Inc.; 2016. p. 18–24. 链接1

[65] Lee J, Wu F, Zhao W, Ghaffari M, Liao L, Siegel D. Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications. Mech Syst Signal Process 2014;42(1–2):314–34. 链接1

[66] Tao F, Cheng Y, Xu LD, Zhang L, Li BH. CCIoT-CMfg: Cloud computing and Internet of Things-based cloud manufacturing service system. IEEE Trans Ind Inform 2014;10(2):1435–42. 链接1

[67] Xu X. From cloud computing to cloud manufacturing. Robot Comput-Integr Manuf 2012;28(1):75–86. 链接1

[68] State Council of the People’s Republic of China. Guidance of deepening ‘‘Internet + Advanced Manufacturing” and developing Industrial Internet [Internet]. Beijing: State Council of the People’s Republic of China; [updated 2017 Nov 27; cited 2017 Dec 20]. Available from: http://www.gov.cn/ zhengce/content/2017-11/27/content_5242582.htm. Chinese.

[69] Browning TR. Applying the design structure matrix to system decomposition and integration problems: A review and new directions. IEEE Trans Eng Manage 2001;48(3):292–306. 链接1

[70] Chen Y. Integrated and intelligent manufacturing: Perspectives and enablers. Engineering 2017;3(5):588–95. 链接1

[71] China Cyber-Physical Systems Development Forum. Cyber-Physical Systems white paper (2017) [Internet]. Beijing: China Electronics Standardization Institute; c2009–17 [updated 2017 Mar 1; cited 2017 Dec 20]. Available from: http://www.cesi.ac.cn/201703/2251.html. Chinese. 链接1

[72] Ministry of Industry and Information Technology of the People’s Republic of China, Standardization Administration of the People’s Republic of China. Notice on soliciting opinions on ‘‘Guidance of national standard of intelligent manufacturing system (2018 edition)” [Internet]. [updated 2018 January 15; cited 2018 Jan 17]. Available from: http://www.miit.gov.cn/n1146295/ n1652858/n1653100/n3767755/c6013858/content.html. Chinese.

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