[ 1 ] Zhou J, Li P, Zhou Y, Wang B, Zang J, Meng L. Toward new-generation intelligent manufacturing. Engineering 2018;4(1):11–20. 链接1

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

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

[ 4 ] National Manufacturing Strategy Advisory Committee, Center for Strategic Studies of CAE. Intelligent manufacturing. Beijing: Publishing House of Electronics Industry; 2014. Chinese.

[ 5 ] Tao F, Cheng J, Qi Q, Zhang M, Zhang H, Sui F. Digital twin-driven product design, manufacturing and service with big data. Int J Adv Manuf Technol 2018;94(9–12):3563–76. 链接1

[ 6 ] Tao F, Qi Q, Liu A, Kusiak A. Data-driven smart manufacturing. J Manuf Syst 2018;48:157–69. 链接1

[ 7 ] Zhuang YT, Wu F, Chen C, Pan YH. Challenges and opportunities: from big data to knowledge in AI 2.0. Front Inf Technol Electron Eng 2017;18(1):3–14. 链接1

[ 8 ] Wu J. Age of intelligence: big data and AI redefine the future. Beijing: China CITIC Press; 2016. Chinese.

[ 9 ] Kuo YH, Kusiak A. From data to big data in production research: the past and future trends. Int J Prod Res 2018. In Press. 链接1

[10] Lee J, Ardakani HD, Yang S, Bagheri B. Industrial big data analytics and cyberphysical systems for future maintenance and service innovation. Procedia CIRP 2015;38:3–7. 链接1

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

[12] Li BH, Chai XD, Zhang L, Li T, Qing D, Lin T, et al. Preliminary study of modeling and simulation technology oriented to neo-type artificial intelligent systems. J Syst Simul 2018;30(2):349–62. Chinese.

[13] Li BH, Hou BC, Yu WT, Lu XB, Yang CW. Applications of artificial intelligence in intelligent manufacturing: a review. Front Inf Technol Electron Eng 2017;18 (1):86–96. 链接1

[14] Xiong Y, Wu B, Ding H. The theory and modeling for next generation manufacturing system. China Mech Eng 2000;11(1):49–52. Chinese.

[15] Kusiak A. Fundamentals of smart manufacturing: a multi-thread perspective. Annu Rev Contr 2019;47:214–20. 链接1

[16] Bonvillian WB. Technology advanced manufacturing policies and paradigms for innovation. Science 2013;342(6163):1173–5. 链接1

[17] Hu SJ. Evolving paradigms of manufacturing: from mass production to mass customization and personalization. Procedia CIRP 2013;7:3–8. 链接1

[18] Koren Y. The global manufacturing revolution: product–process–business integration and reconfigurable systems. Hoboken: John Willey & Sons; 2010.

[19] LU Y. Toward green manufacturing and intelligent manufacturing— development road of China manufacturing. China Mech Eng 2010;21:379– 86,399. Chinese.

[20] Roper S, Du J, Love JH. Modelling the innovation value chain. Res Policy 2008;37(6–7):961–77. 链接1

[21] Esmaeilian B, Behdad S, Wang B. The evolution and future of manufacturing: a review. J Manuf Syst 2016;39:79–100. 链接1

[22] Evans PC, Annunziata M. Industrial internet: pushing the boundaries of minds and machines. Boston: General Electric; 2012.

[23] Executive Office of the President, National Science and Technology Council Committee on Technology, National Science and Technology Council. A national strategic plan for advanced manufacturing. Project Report. Executive Office of the President; 2012 Feb.

[24] Kagermann H, Helbig J, Hellinger A, Wahlster W. Recommendations for implementing the strategic initiative Industrie 4.0. Report. Frankfurt: Federal Ministry of Education and Research; 2013.

[25] Eagle P. The future of manufacturing: a new era of opportunity and challenge for the UK. London: The Government Office for Science; 2013.

[26] APO News. Industry Innovation 3.0 [Internet]. Tokyo: Asian Productivity Organization; c2014 [cited 2019 Apr 12]. Available from: https://www.apotokyo.org/publications/wp-content/uploads/sites/5/2014_Jul-Aug_p8.pdf.

[27] Gov F. The new face of industry in France. 2017; Available from: https://www. economie.gouv.fr/files/nouvelle_france_industrielle_english.pdf.

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

[29] Kong D, Feng Q, Zhou Y, Xue L. Local implementation for green-manufacturing technology diffusion policy in China: from the user firms’ perspectives. J Clean Prod 2016;129:113–24. 链接1

[30] Kong D, Zhou Y, Liu Y, Xue L. Using the data mining method to assess the innovation gap: a case of industrial robotics in a catching-up country. Technol Forecast Soc Change 2017;119:80–97. 链接1

[31] Zhou Y, Dong F, Kong D, Liu Y. Unfolding the convergence process of scientific knowledge for the early identification of emerging technologies. Technol Forecast Soc Change 2019;144:205–20. 链接1

[32] 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

[33] Li X, Zhou Y, Xue L, Huang L. Roadmapping for industrial emergence and innovation gaps to catch-up: a patent-based analysis of OLED industry in China. Int J Technol Manag 2016;72(1–3):105–43.

[34] Sterman JD. System dynamics modeling: tools for learning in a complex world. IEEE Eng Manage Rev 2001;43(4):8–25. 链接1

[35] Nordensvard J, Zhou Y, Zhang X. Innovation core, innovation semi-periphery and technology transfer: The case of wind energy patents. Energy Policy 2018;120:213–27. 链接1

[36] Wang Y, Urban F, Zhou Y, Chen L. Comparing the technology trajectories of solar PV and solar water heaters in China: using a patent lens. Sustainability 2018;10(11):4166. 链接1

[37] Yang S, Ding H. Research on intelligent manufacturing technology and intelligent manufacturing systems. China Mech Eng 1992;3(2):15–8. Chinese.

[38] Wang B. The future of manufacturing: a new perspective. Engineering 2018;4 (5):722–8. 链接1

[39] Lin X, Zhou Y, Xue L, Huang L. Integrating bibliometrics and roadmapping methods: a case of dye-sensitized solar cell technology-based industry in China. Technol Forecast Soc Change 2015;97:205–22. 链接1

[40] Xu XW, Newman ST. Making CNC machine tools more open, interoperable and intelligent—a review of the technologies. Comput Ind 2006;57(2):141–52. 链接1

[41] Xu G, Wu Y, Minshall T, Zhou Y. Exploring innovation ecosystems across science, technology, and business: a case of 3D printing in China. Technol Forecast Soc Change 2017;136:208–21. 链接1

[42] Liu P, Zhou Y, Zhou DK, Xue L. Energy performance contract models for the diffusion of green-manufacturing technologies in China: a stakeholder analysis from SMEs’ perspective. Energy Policy 2017;106:59–67. 链接1

[43] Chen LY, Zhou Y, Zhou D, Xue L. Clustering enterprises into eco-industrial parks: can interfirm alliances help small and medium-sized enterprises? J Clean Prod 2017;168:1070–9. 链接1

[44] Zhou Y, Xu G, Minshall T, Liu P. How do public demonstration projects promote green-manufacturing technologies? A case study from China. Sustain Dev 2015;23(4):217–31. 链接1

[45] Tan J, Liu D, Liu Z, Cheng J. Research on key technical approaches for the transition from digital manufacturing to intelligent manufacturing. Eng Sci 2017;19(3):39–44. Chinese. 链接1

[46] Chen L, Xu J, Zhou Y. Regulating the environmental behavior of manufacturing SMEs: interfirm alliance as a facilitator. J Clean Prod 2017;165:393–404. 链接1

[47] Yao XF, Liu M, Zhang J, Tao T, Lan H, Ge D, et al. History and future of intelligent manufacturing from the perspective of AI. Comput Integr Manuf Syst 2019;25 (1):19–34.

[48] Li BH, Zhang L, Wang S, Tao F, Cao J, Jiang X, et al. Cloud manufacturing: a new service-oriented networked manufacturing model. Comput Integr Manuf Syst 2010;16(01). 1–7,16. 链接1

[49] Tao F, Zhang M, Nee AYC. Digital twin driven smart manufacturing. New York: Academic Press; 2019. p. 282.

[50] Jeschke S, Brecher C, Meisen T, Özdemir D, Eschert T. Industrial internet of things and cyber manufacturing systems. In: Jeschke S, Brecher C, Song H, Rawat DB, editors. Industrial internet of things. Cham: Springer; 2017. p. 3–19. 链接1

[51] Yin RK. Case study research: design and methods. Newbury Park: SAGE Publication; 1989.

[52] Yin RK. Case study research: design and methods. 3rd ed. Thousand oaks: SAGE Publications; 2009.

[53] Eisenhardt KM. Building theories from case study research. Acad Manage Rev 1989;14(4):532–50. 链接1

[54] Liang S, Rajora M, Liu X, Yue C, Zou P, Wang L. Intelligent manufacturing systems: a review. Int J Mech Eng Rob Res 2018;7(3):324–30.

[55] Zhou Y, Lin H, Liu Y, Ding W. A novel method to identify emerging technologies using a semi-supervised topic clustering model: a case of 3D printing industry. Scientometrics 2019;120(1):167–85. 链接1

[56] Miles MB, Huberman AM, Saldana J. Qualitative data analysis: a method sourcebook. 3rd ed. New York: Sage Publications; 2014.

[57] Yan J. Digitalization and networked manufacturing. Ind Eng Manage 2000;1:8–11. Chinese.

[58] Yang S, Wu B, Hu C, Cheng T. Networked manufacturing and enterprise integration. China Mech Eng 2000;1:45–8. Chinese.

[59] Uhlemann THJ, Lehmann C, Steinhilper R. The digital twin: realizing the cyber– physical production system for Industry 4.0. Procedia Cirp 2017;61:335–40. 链接1

[60] Yuan Z, Li X, Lema R, Urban F. Comparing the knowledge bases of wind turbine firms in Asia and Europe: patent trajectories, networks, and globalisation. Sci Public Policy 2016;43(2):1–16. 链接1

[61] Zhou Y, Pan M, Urban F. Comparing the international knowledge flow of China’s wind and solar photovoltaic (PV) industries: patent analysis and implications for sustainable development. Sustainability 2018;10 (6):1883. 链接1

[62] 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

[63] Li H, Si H. Control for intelligent manufacturing: a multiscale challenge. Engineering 2017;3(5):608–15. 链接1

[64] Zang J, Wang B, Liu B, Zhou Y. Brief analysis on three basic paradigms of intelligent manufacturing. Strategic Study CAE 2018;20(4):13–8. Chinese. 链接1

[65] Hu H, Zhao M, Ning Z. Three-body intelligence revolution. Beijing: China Machine Press; 2016.

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

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

[68] Mittal S, Khan MA, Wuest T. Smart manufacturing: characteristics and technologies. In: Harik R, Rivest L, Bernard A, Eynard B, Bouras A, editors. Product lifecycle management for digital transformation of industries. Cham: Springer; 2018.

[69] Li J, Qiu B, Liu Z, Wei M. CPS: new-generation AI. Shanghai: Shanghai Jiao Tong University Press; 2017. Chinese.

[70] Zhang H, Zhang H, Ding M. How public demonstration projects affect the emergence of new industries: an empirical study of electric vehicles in China. Innovation 2015;17(2):159–81. 链接1

[71] China Electronics Standardization Institute. Cyber–physical systems white paper (2017). Report. Beijing: China Electronics Standardization Institute; 2017. Chinese.

[72] China Electronics Standardization Institute. White paper on standardization of industrial internet platforms (2018). Report. Beijing: China Electronics Standardization Institute; 2018. Chinese.

[73] Hedberg Jr TD, Hartman NW, Rosche P, Fischer K. Identified research directions for using manufacturing knowledge earlier in the product lifecycle. Int J Prod Res 2017;55(3):819–27. 链接1

[74] Rosen R, Von Wichert G, Lo G, Bettenhausen KD. About the importance of autonomy and digital twins for the future of manufacturing. IFAC Papers Online 2015;48(3):567–72. 链接1

[75] Dong X, Mcintyre SH. The second machine age: work, progress, and prosperity in a time of brilliant technologies. Psychiatry 2015;14(11):380–3.

[76] Xun X. Machine Tool 4.0 for the new era of manufacturing. Int J Adv Manuf Technol 2017;92(5–8):1893–900. 链接1

[77] Zhang L, Xue L, Zhou Y. How do low-carbon policies promote green diffusion among alliance-based firms in China? An evolutionary-game model of complex networks. J Clean Prod 2019;210:518–29. 链接1

[78] Vogel-Heuser B, Wildermann S, Teich J. Towards the co-evolution of industrial products and its production systems by combining models from development and hardware/software deployment in cyber-physical systems. Prod Eng 2017;11(6):687–94. 链接1

[79] Pan M, Zhou Y, Zhou DK. Comparing the innovation strategies of Chinese and European wind turbine firms through a patent lens. Environ Innov Soc Transit 2017;30:6–18. 链接1

[80] Busnaina AA, Mead J, Isaacs J, Somu S. Nanomanufacturing and sustainability: opportunities and challenges. In: Diallo MS, Fromer NA, Jhon MS, editors. Nanotechnology for sustainable development. Cham: Springer; 2013. p. 331–6. 链接1

[81] Wang B, Liu Y, Zhou Y, Wen Z. Emerging nanogenerator technology in China: a review and forecast using integrating bibliometrics, patent analysis and technology roadmapping methods. Nano Energy 2018;46:322–30. 链接1

[82] Liu Y, Zhou Y, Liu X, Dong F, Wang C, Wang Z. Wasserstein GAN-based smallsample augmentation for new-generation artificial intelligence: a case study of cancer-staging data in biology. Engineering 2019;5(1):156–63. 链接1

[83] Fonseca F, Marcinkowski M, Davis C. Cyber–human systems of thought and understanding. J Assoc Inf Sci Technol 2019;70(4):402–11. 链接1

[84] Zhou Y, Pan M, Zhou DK, Xue L. Stakeholder risk and trust perceptions in the diffusion of green manufacturing technologies: evidence from China. J Environ Dev 2018;27(1):46–73. 链接1

[85] Federal Ministry for Economic Affairs and Energy. National Industrial Strategy 2030: strategic guidelines for a German and European industrial policy. Industrial Policy. Berlin: Federal Ministry for Economic Affairs and Energy; 2019.