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Chinese Geographical Science

, Volume 27, Issue 4, pp 626–637 | Cite as

Fourth Industrial Revolution: technological drivers, impacts and coping methods

  • Guoping LiEmail author
  • Yun Hou
  • Aizhi Wu
Article

Abstract

The world is marching into a new development period when the digital technology, physical technology, and biological technology have achieved an unprecedented development respectively in their own fields, and at the same time their applications are converging greatly. These are the three major technological drivers for the Fourth Industrial Revolution. This paper discusses the specific technology niches of each kind technological driver behind the Fourth Industrial Revolution, and then evaluates impacts of the Fourth Industrial Revolution on global industrial, economic, and social development. At last this paper proposes possible measures and policies for both firms and governments to cope with the changes brought by the Fourth Industrial Revolution.

Keywords

Fourth Industrial Revolution technological drivers global impacts firm-level adjustments government policies 

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References

  1. 3D Printing Industry, 2014. The free beginner’s guide to 3D printing. In: 3D Printing Newsletter. Available at: https://3dprintingindustry.com/3d-printing-basics-free-beginners-guide/. Cited 28 Apr 2017.Google Scholar
  2. Ali S, Dadush U, 2011. Trade in intermediates and economic policy. In: CEOR’s Policy Portal. VOX. Available at: http://voxeu.org/article/rise-trade-intermediates-policy-implications. Cited 28 Apr 2017.Google Scholar
  3. Atzori L, Iera A, Morabito G, 2010. The internet of things: a survey. Computer networks, 54(15): 2787–2805. doi: 10.1016/j.comnet.2010.05.010CrossRefGoogle Scholar
  4. Ayers J, Davis J L, Rudolph A, 2002. Neurotechnology for Biomimetic Robots. Cambridge: MIT press.Google Scholar
  5. Buyya R, Sukumar K, 2011. Platforms for building and deploying applications for cloud computing. CSI Communications, 31(1): 7–13. doi: arXiv:1104.4379.Google Scholar
  6. Ding Chun, Li Junyang, 2014. Industrial 4.0: contents, motivations and prospects. Deutschland Studien, (4): 46–99, 126. (in Chinese)Google Scholar
  7. Draper P, 2013. The shifting geography of global value chains: implications for developing countries, trade policy, and the G20. Global Summitry Journal, 1(1): 1–40.CrossRefGoogle Scholar
  8. Drath R, Horch A, 2014. Industrie 4.0: Hit or hype? IEEE Industrial Electronics Magazine, 8(2): 56–58. doi: 10.1109/MIE. 2014.2312079CrossRefGoogle Scholar
  9. European Commission, 2016. An EU strategy on heating and cooling. In: Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. European Commission. Available at: https://ec.-europa.eu/energy/sites/ener/files/documents/1_EN_ACT_part1_v14.pdf. Cited 28 Apr 2017.Google Scholar
  10. Fagnant D J, Kockelman K, 2015. Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice, 77: 167–181. doi: 10.1016/j.tra.2015.04.003Google Scholar
  11. Fernández A, del Río S, López V et al., 2014. Big data with cloud computing: an insight on the computing environment, MapReduce, and programming frameworks. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 4(5): 380–409. doi: 10.1002/widm.1134Google Scholar
  12. Gentner S, 2016. Industry 4.0: reality, future or just science fiction? How to convince today’s management to invest in tomorrow’s future! Successful Strategies for Industry 4.0 and Manufacturing IT. Chimia, 70(9): 628–633. doi: 10.2533/chimia.2016.628CrossRefGoogle Scholar
  13. He Zhengchu, Pan Hongyu, 2015. Germany ‘Industry 4.0’ and ‘Made in China 2015’. Journal of Changsha University of Science & Technology (Social Science), 30(3): 103–110. (in Chinese)Google Scholar
  14. Ho M W, 2000. Human genome: the biggest sellout in human history. In: Science in Society Archive. Available at: http://www.i-sis.org.uk/humangenome.php. Cited 28 Apr 2017.Google Scholar
  15. Hochberg L R, Bacher D, Jarosiewicz B et al., 2012. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature, 485(7398): 372–375. doi: 10.1038/nature11076CrossRefGoogle Scholar
  16. Home S, Grutzner J, Hadlich T et al., 2015. Semantic industry: challenges for computerized information processing in Industrie 4.0. Automatisierung Stechnik, 63(2): 74–86. doi: 10.1515/auto-2014-1142Google Scholar
  17. Ivanov D, Dolgui A, Sokolov B et al., 2016. Adynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0. International Journal of Production Research, 54(2): 386–402. doi: 10.1080/00207543.2014.999958CrossRefGoogle Scholar
  18. Jopp K, 2013. Industry 4.0: the growing together of real and virtual worlds: the internet of things drives the fourth industrial revolution. Stahl Und Elsen, 133(6): 86–88.Google Scholar
  19. KPMG, 2015. Connected and autonomous vehicles: the UK economic opportunity, In: Insights. Available at: https://www.kpmg.com/BR/en/Estudos_Analises/artigosepublicacoes/Docu ments/Industrias/Connected-Autonomous-Vehicles-Study.pdf. Cited 10 Dec 2016.Google Scholar
  20. Kube G, Rinn T, 2014. Industry 4.0-The next revolution in the industrial sector. ZGK International, 67(11): 30–32.Google Scholar
  21. Lalanda P, Morand D, Chollet S, 2017. Autonomic mediation middleware for smart manufacturing. IEEE Internet Computing, 21(1): 32–39.CrossRefGoogle Scholar
  22. Leber J, 2012. General electric pitches an industrial internet. MIT Technology Review, Nov 2012/Jul 2016.Google Scholar
  23. Liu Yongkui, Xu Xun, 2017. Industry 4.0 and cloud manufacturing: a comparative analysis. Journal of Manufacturing Science and Engineering, 139(3): 034701. doi: 10.1115/1.4034667CrossRefGoogle Scholar
  24. MaRS Advisory Services, 2009. Neurotechnology: focus on aging. In: Neurotechnology Industry Briefing. Available at: https://www.marsdd.com/wp-content/uploads/2009/01/MaRS Report-Neurotechology1.pdf. Cited 10 Dec 2016.Google Scholar
  25. Monostori L, 2014. Cyber-physical production systems: roots, expectations and R&D challenges. Procedia CIRP, 17: 9–13. doi: 10.1016/j.procir.2014.03.115CrossRefGoogle Scholar
  26. Mosterman P J, Zander J, 2017. Industry 4.0 as a cyber-physical system study. Software and Systems Modeling, 15(1): 17–29. doi: 10.1007/s10270-015-0439-xCrossRefGoogle Scholar
  27. OECD, 2011. The future of the Internet Economy. In: OECD high-level meeting. Available at: https://www.oecd.org/internet/-ieconomy/48255770.pdf. Cited 28 Apr 2017.Google Scholar
  28. Pei Changhong, Yu Yan, 2014. Germany ‘Industry 4.0’ and new development of manufacturing cooperation in China and Germany. Research on Financial and Economic Issues, (10): 27–33. (in Chinese)Google Scholar
  29. Pfeifer R, Scheier C, 2001. Understanding Intelligence. Cambridge: MIT Press.Google Scholar
  30. Potomac Institute for Policy Studies, 2014. Neurotechnology: enhancing the human brain and reshaping society. In: Symposium Report. Available at: http://www.potomacinstitute.org/images/stories/publications/22JanNeurotechEnhancementReport.pdf. Cited 10 Dec 2016.Google Scholar
  31. Purcell B M, 2014. Big data using cloud computing. Journal of Technology Research, 5(8): 1–8.Google Scholar
  32. Qin Shengfeng, Cheng Kai, 2016. Special issue on future digital design and manufacturing: embracing Industry 4.0 and beyond. Chinese Journal of Mechanical Engineering, 29(6): 1045. doi: 10.3901/CJME.2016.0909.110CrossRefGoogle Scholar
  33. Sackey S M, Bester A, 2016. Industrial engineering curriculum in Industry 4.0 in a South African context. South African Journal of Industrial Engineering, 27(4): 101–114. doi: 10.7166/27-4-1579CrossRefGoogle Scholar
  34. Sako M, 2005. Outsourcing and offshoring: key trends and issues. Available at: SSRN 1463480.Google Scholar
  35. Sarma A C, Girão J, 2009. Identities in the Future Internet of Things. Wireless Personal Communications, 49(3): 353–363. doi: 10.1007/s11277-009-9697-0CrossRefGoogle Scholar
  36. Schwab K, 2016. The Fourth Industrial Revolution. Switzerland: World Economic Forum, 25–38.Google Scholar
  37. Shapiro R J, Mathur A, 2011. The contributions of information and communication technologies to American growth, productivity. In: Sonecon. Available at: http://tr41.tiaonline.org/gov_ affairs/fcc_filings/documents/Report_on_ICT_and_Innovation_Shapiro_Mathur_September_8_2011.pd. Cited 28 Apr 2017.Google Scholar
  38. Singer P, 2015. Are you ready for Industry 4.0? Solid State Technology, 58(8): 2.Google Scholar
  39. Sommer L, 2015. Industrial revolution-Industry 4.0: are German manufacturing SMEs the first victims of this revolution? Journal of Industrial Engineering and Management, 8(5): 1512–1532. doi: 10.3926/jiem.1470CrossRefGoogle Scholar
  40. Theorin A, Bengtsson K, Provost J et al., 2017. An event-driven manufacturing information system architecture for Industry 4.0. International Journal of Production Research, 55(5): 1297–1311. doi: 10.1080/00207543.2016.1201604CrossRefGoogle Scholar
  41. Wang J, Kosaka M, Xing K, 2016. Manufacturing Servitization in the Asia-Pacific. Singapore: Springer. doi: 10.1007/978-981- 287-757-4CrossRefGoogle Scholar
  42. Wang L, Törngren M, Onori M, 2015. Current status and advancement of cyber-physical systems in manufacturing. Journal of Manufacturing Systems, 2015, 37(Part 2): 517–527. doi: 10.1016/j.jmsy.2015.04.008CrossRefGoogle Scholar
  43. Webster S A, 2015. Coming to a factory near you: industry 4.0. Manufacturing Engineering, 154(3): 8.Google Scholar
  44. Weiss A, Hubber A, Minichberger J et al., 2016. First application of robot teaching in an existing Industry 4.0 environment: does it really work? Societies, 6(3): 20. doi: 10.3390/soc6030020CrossRefGoogle Scholar
  45. Xu Dong, Nie Beisheng, Wang Longkang et al., 2013. Accurate localization technology in fully mechanized coal face: the first step towards coal mining Industry 4.0. Disaster Advances, 6: 69–77.Google Scholar
  46. Xu J, Huang E, Hsieh L et al., 2016. Simulation optimization in the era of Industrial 4.0 and the Industrial Internet. Journal of Stimulation, 10(4): 310–320. doi: 10.1057/s41273-016-0037-6CrossRefGoogle Scholar
  47. Zhang Shu, 2014. The Industry 4.0 and intelligent manufacturing. Machine Design and Manufacturing Engineering, 43(8): 1–5. (in Chinese)Google Scholar

Copyright information

© Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.School of GovernmentPeking UniversityBeijingChina
  2. 2.NUS Business SchoolNational University of SingaporeSingaporeSingapore
  3. 3.LibraryPeking UniversityBeijingChina

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