0
Expert View

Industry 4.0 and Cloud Manufacturing: A Comparative Analysis

[+] Author and Article Information
Yongkui Liu

Department of Mechanical Engineering,
The University of Auckland,
Auckland 1142, New Zealand;
School of Automation Science
and Electrical Engineering,
Beihang University,
Beijing 100191, China
e-mail: yliu496@aucklanduni.ac.nz

Xun Xu

Fellow ASME
Department of Mechanical Engineering,
The University of Auckland,
Auckland 1142, New Zealand
e-mail: xun.xu@auckland.ac.nz

1Corresponding author.

Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING. Manuscript received August 17, 2016; final manuscript received September 1, 2016; published online October 6, 2016. Editor: Y. Lawrence Yao.

J. Manuf. Sci. Eng 139(3), 034701 (Oct 06, 2016) (8 pages) Paper No: MANU-16-1445; doi: 10.1115/1.4034667 History: Received August 17, 2016; Revised September 01, 2016

Information technologies with their strong penetration can provide effective solutions for addressing the challenges faced by the manufacturing industry. Leveraging information technologies to enhance the competitiveness of the manufacturing industry has become a prominent trend worldwide. In this context, two important concepts for manufacturing—Industry 4.0 and cloud manufacturing—have been proposed. Industry 4.0 refers to the fourth industrial revolution, which is characterized by the widespread application of cyber-physical systems (CPS) in the manufacturing environment. Cloud manufacturing is a new service-oriented business paradigm based on the cloud concept and method. Since their inception, there has been a great deal of attention from both academia and industry. However, to date, they have largely been addressed in isolation. The fact is that, although being proposed from different perspectives and embracing different ideas, they each have some key features that can benefit one another. In order to better understand these two concepts, there is a need to compare them and clarify their relationship. To this end, this paper presents basic ideas of Industry 4.0 and cloud manufacturing, gives a brief overview of their current research, and provides a detailed comparative analysis of them from different perspectives.

FIGURES IN THIS ARTICLE
<>
Copyright © 2017 by ASME
Topics: Manufacturing
Your Session has timed out. Please sign back in to continue.

References

Industrie 4.0 Working Group, 2013, “ Securing the Future of German Manufacturing Industry—Recommendations for Implementing the Strategic Initiative,” acatech, Munich, Germany, accessed Aug. 28, 2016, http://www.acatech.de/fileadmin/user_upload/Baumstruktur_nach_Website/Acatech/root/de/Material_fuer_Sonderseiten/Industrie_4.0/Final_report__Industrie_4.0_accessible.pdf
Tao, F. , Cheng, Y. , Zhang, L. , and Nee, A. Y. C. , 2014, “ Advanced Manufacturing Systems: Socialization Characteristics and Trends,” J. Intell. Manuf. (in press).
Buyya, R. , Yeo, C. S. , Venugopal, S. , Broberg, J. , and Brandic, I. , 2009, “ Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility,” Future Gener. Comput. Syst., 25(6), pp. 599–616. [CrossRef]
Li, B. H. , Zhang, L. , Wang, S. L. , Tao, F. , Cao, J. W. , Jiang, X. D , Song, X. , and Chai, X. D. , 2010, “ Cloud Manufacturing: A New Service-Oriented Manufacturing Model,” Comput. Integr. Manuf. Syst., 16(1), pp. 1–8.
BITKOM, VDMA, and ZVEI, 2016, “ Implementation Strategy Industrie 4.0, Report on the results of the Industrie 4.0 Platform,” ZVEI, Frankfurt, Germany, accessed Aug. 28, 2016, http://www.zvei.org/Publikationen/Implementation-Strategy-Industrie-40-ENG.pdf
Hermann, M. , Pentek, T. , and Otto, B. , 2016, “ Design Principles for Industrie 4.0 Scenarios,” IEEE 49th Hawaii International Conference on System Sciences (HICSS), Jan. 5–8, pp. 3928–3937.
Rüßmann, M. , Lorenz, M. , Gerbert, P. , Waldner, M. , Justus, J. , Engel, P. , and Harnisch, M. , 2015, “ Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries,” The Boston Consulting Group, Boston, MA, accessed Aug. 28, 2016, https://www.bcgperspectives.com/content/articles/engineered_products_project_business_industry_40_future_productivity_growth_manufacturing_industries/
Leitão, P. , Colombo, A. W. , and Karnouskos, S. , 2016, “ Industrial Automation Based on Cyber-Physical Systems Technologies: Prototype Implementations and Challenges,” Comput. Ind., 81, pp. 11–25. [CrossRef]
Monostori, L. , 2014, “ Cyber-Physical Production Systems: Roots, Expectations and R&D Challenges,” Procedia CIRP, 17, pp. 9–13. [CrossRef]
Wang, L. , Törngren, M. , and Onori, M. , 2015, “ Current Status and Advancement of Cyber-Physical Systems in Manufacturing,” J. Manuf. Syst., 37(Pt. 2), pp. 517–527. [CrossRef]
Lee, J. , Bagheri, B. , and Kao, H. A. , 2015, “ A Cyber-Physical Systems Architecture for Industry 4.0-Based Manufacturing Systems,” Manuf. Lett., 3, pp. 18–23. [CrossRef]
Radziwon, A. , Bilberg, A. , Bogers, M. , and Madsen, E. S. , 2014, “ The Smart Factory: Exploring Adaptive and Flexible Manufacturing Solutions,” Procedia Eng., 69, pp. 1184–1190. [CrossRef]
Shrouf, F. , Ordieres, J. , and Miragliotta, G. , 2014, “ Smart Factories in Industry 4.0: A Review of the Concept and of Energy Management Approached in Production Based on the Internet of Things Paradigm,” IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Dec. 9–12, pp. 697–701.
Wang, S. , Wan, J. , Li, D. , and Zhang, C. , 2016, “ Implementing Smart Factory of Industrie 4.0: An Outlook,” Int. J. Distrib. Sens. Networks, 2016, p. 681806.
Munera, E. , Poza-Lujan, J. L. , Posadas-Yagüe, J. L. , Simo, J. , Blanes, J. F. , and Albertos, P. , 2015, “ Control Kernel in Smart Factory Environments: Smart Resources Integration,” IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), June 8–12, pp. 2002–2005.
Brettel, M. , Friederichsen, N. , Keller, M. , and Rosenberg, M. , 2014, “ How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective,” Int. J. Mech. Aerosp. Ind. Mechatronics Eng., 8(1), pp. 37–44.
Veza, I. , Mladineo, M. , and Gjeldum, N. , 2015, “ Managing Innovative Production Network of Smart Factories,” IFAC PapersOnLine, 48(3), pp. 555–560. [CrossRef]
Lee, J. , Kao, H. A. , and Yang, S. , 2014, “ Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment,” Procedia CIRP, 16, pp. 3–8. [CrossRef]
Yin, S. , and Kaynak, O. , 2015, “ Big Data for Modern Industry: Challenges and Trends,” Proc. IEEE, 103(2), pp. 143–146. [CrossRef]
Gölzer, P. , Cato, P. , and Amberg, M. , 2015, “ Data Processing Requirements of Industry 4.0—Use Cases for Big Data Applications,” ECIS 2015 Research-in-Progress Papers, Paper No. 61.
Pisching, M. A. , Junqueira, F. , Santos Filho , D. J., and Miyagi , P. E., 2015 , “ Service Composition in the Cloud-Based Manufacturing Focused on the Industry 4.0,” Technological Innovation for Cloud-Based Engineering Systems (IFIP Advances in Information and Communication Technology Series), Vol. 450, Springer International Publishing, Cham, Switzerland, pp. 65–72.
Yue, X. , Cai, H. , Yan, H. , Zou, C. , and Zhou, K. , 2015, “ Cloud-Assisted Industrial Cyber-Physical Systems: An Insight,” Microprocessors Microsyst., 39(8), pp. 1262–1270. [CrossRef]
Zolotová, I. , Bundzel, M. , and Lojka, T. , 2015 , “ Industry IoT Gateway for Cloud Connectivity,” Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth (IFIP Advances in Information and Communication Technology Series), Vol. 460, Springer International Publishing, Cham, Switzerland, pp. 59–66.
Yen, C. T. , Liu, Y. C. , Lin, C. C. , Kao, C. C. , Wang, W. B. , and Hsu, Y. R. , 2014, “ Advanced Manufacturing Solution to Industry 4.0 Trend Through Sensing Network and Cloud Computing Technologies,” IEEE International Conference on Automation Science and Engineering (CASE), pp. 1150–1152.
Helo, P. , Suorsa, M. , Hao, Y. , and Anussornnitisarn, P. , 2014, “ Toward a Cloud-Based Manufacturing Execution System for Distributed Manufacturing,” Comput. Ind., 65(4), pp. 646–656. [CrossRef]
Schuh, G. , Potente, T. , Varandani, R. , Hausberg, C. , and Fränken, B. , 2014, “ Collaboration Moves Productivity to the Next Level,” Procedia CIRP, 17, pp. 3–8. [CrossRef]
Paelke, V. , 2014, “ Augmented Reality in the Smart Factory: Supporting Workers in an Industry 4.0 Environment,” IEEE on Emerging Technology and Factory Automation (ETFA), Sept. 16–19.
Toro, C. , Barandiaran, I. , and Posada, J. , 2015, “ A Perspective on Knowledge Based and Intelligent Systems Implementation in Industrie 4.0,” Procedia Comput. Sci., 60, pp. 362–370. [CrossRef]
Varghese, A. , and Tandur, D. , 2014, “ Wireless Requirements and Challenges in Industry 4.0,” International Conference on Contemporary Computing and Informatics (IC3I), Nov. 27–29, pp. 634–638.
Peniak, P. , and Franekova, M. , 2015, “ Open Communication Protocols for Integration of Embedded Systems Within Industry 4,” International Conference on Applied Electronics (AE), Sept. 8–9, pp. 181–184.
Adeyeri, M. K. , Mpofu, K. , and Olukorede, T. A. , 2015, “ Integration of Agent Technology Into Manufacturing Enterprise: A Review and Platform for Industry 4.0,” International Conference on Industrial Engineering and Operations Management (IEOM), Mar. 3–5.
Weyer, S. , Schmitt, M. , Ohmer, M. , and Gorecky, D. , 2015, “ Towards Industry 4.0-Standardization as the Crucial Challenge for Highly Modular, Multi-Vendor Production Systems,” IFAC PapersOnLine, 48(3), pp. 579–584. [CrossRef]
Bornschlegl, M. , Drechsel, M. , Kreitlein, S. , Bregulla, M. , and Franke, J. , 2013, “ A New Approach to Increasing Energy Efficiency by Utilizing Cyber-Physical Energy Systems,” 11th Workshop on Intelligent Solutions in Embedded Systems (WISES), Sept. 10–11.
Gorecky, D. , Schmitt, M. , Loskyll, M. , and Zühlke, D. , 2014, “ Human-Machine-Interaction in the Industry 4.0 Era,” 12th IEEE International Conference on Industrial Informatics (INDIN), July 27–30, pp. 289–294.
Gorecky, D. , Khamis, M. , and Mura, K. , 2015, “ Introduction and Establishment of Virtual Training in the Factory of the Future,” Int. Comput. Integr. Manuf. (in press).
Schuh, G. , Gartzen, T. , Rodenhauser, T. , and Marks, A. , 2015, “ Promoting Work-Based Learning Through INDUSTRY 4.0,” Procedia CIRP, 32, pp. 82–87. [CrossRef]
Xu, X. , 2012, “ From Cloud Computing to Cloud Manufacturing,” Rob. Comput. Integ. Manuf., 28(1), pp. 75–86. [CrossRef]
Tao, F. , Cheng, Y. , Xu, L. D. , Zhang, L. , and Li, B. H. , 2014, “ CCIoT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System,” IEEE Trans. Ind. Inf., 10(2), pp. 1435–1442. [CrossRef]
Adamson, G. , Wang, L. , Holm, M. , and Moore, P. , 2015, “ Cloud Manufacturing–A Critical Review of Recent Development and Future Trends,” Int. J. Comput. Integr. Manuf. (in press).
Wu, D. , Greer, M. J. , Rosen, D. W. , and Schaefer, D. , 2013, “ Cloud Manufacturing: Strategic Vision and State-of-the-Art,” J. Manuf. Syst., 32(4), pp. 564–579. [CrossRef]
He, W. , and Xu, L. , 2015, “ A State-of-the-Art Survey of Cloud Manufacturing,” Int. J. Comput. Integr. Manuf., 28(3), pp. 239–250. [CrossRef]
Li, B. H. , Zhang, L. , Ren, L. , Chai, X. D. , Tao, F. , Luo, Y. L. , Wang, Y. Z. , Yin, C. , Huang, G. , and Zhao, X. P. , 2011, “ Further Discussion on Cloud Manufacturing,” Comput. Integr. Manuf. Syst., 17(3), pp. 449–457.
Luo, Y. L. , Zhang, L. , He, D. J. , Ren, L. , and Tao, F. , 2011, “ Study on Multi-View Model for Cloud Manufacturing,” Adv. Mater. Res., 201–203, pp. 685–688. [CrossRef]
Fan, W. H. , and Xiao, T. Y. , 2011, “ Integrated Architecture of Cloud Manufacturing Based on Federation Mode,” Comput. Integr. Manuf. Syst., 17(3), pp. 469–476.
Ren, L. , Zhang, L. , Wang, L. , Tao, F. , and Chai, X. , 2014, “ Cloud Manufacturing: Key Characteristics and Applications,” Int. J. Comput. Integr. Manuf. (in press).
Tao, F. , Zhang, L. , Guo, H. , Luo, Y. L. , and Ren, L. , 2011, “ Typical Characteristics of Cloud Manufacturing and Several Key Issues of Cloud Service Composition,” Comput. Integr. Manuf. Syst., 17(3), pp. 477–486.
Tao, F. , Cheng, J. , Cheng, Y. , Gu, S. , Zheng, T. , and Yang, H. , “ SDMSim: A Manufacturing Service Supply–Demand Matching Simulator Under Cloud Environment,” Rob. Comput. Integr. Manuf. (in press, Available online 20 August 2016).
Luo, Y. , Zhang, L. , Tao, F. , Ren, L. , Liu, Y. , and Zhang, Z. , 2013, “ A Modeling and Description Method of Multidimensional Information for Manufacturing Capability in Cloud Manufacturing System,” Int. J. Adv. Manuf. Technol., 69(5–8), pp. 961–975. [CrossRef]
Wang, X. V. , and Xu, X. W. , 2013, “ An Interoperable Solution for Cloud Manufacturing,” Rob. Comput. Integr. Manuf., 29(4), pp. 232–247. [CrossRef]
Tao, F. , Zhang, L. , Liu, Y. , Cheng, Y. , Wang, L. , and Xu, X. , 2015, “ Manufacturing Service Management in Cloud Manufacturing: Overview and Future Research Directions,” ASME J. Manuf. Sci. Eng., 137(4), p. 040912. [CrossRef]
Yin, C. , Huang, B. Q. , Liu, F. , Wen, L. J. , Wang, Z. K. , Li, X. D. , Yang, S. P. , Ye, D. , and Liu, X. H. , 2011, “ Common Key Technology System of Cloud Manufacturing Service Platform for Small and Medium Enterprises,” Comput. Integr. Manuf. Syst., 17(3), pp. 495–503.
Zhan, D. C. , Zhao, X. B. , Wang, S. Q. , Cheng, Z. , Zhou, X. Q. , Nie, L. S. , and Xu, X. F. , 2011, “ Cloud Manufacturing Service Platform for Group Enterprises Oriented to Manufacturing and Management,” Comput. Integr. Manuf. Syst., 17(3), pp. 487–494.
Lu, Y. , Xu, X. , and Xu, J. , 2014, “ Development of a Hybrid Manufacturing Cloud,” J. Manuf. Syst., 33(4), pp. 551–566. [CrossRef]
Yu, C. , Xu, X. , and Lu, Y. , 2015, “ Computer-Integrated Manufacturing, Cyber-Physical Systems and Cloud Manufacturing—Concepts and Relationships,” Manuf. Lett., 6, pp. 5–9. [CrossRef]
Herterich, M. M. , Uebernickel, F. , and Brenner, W. , 2015, “ The Impact of Cyber-Physical Systems on Industrial Services in Manufacturing,” Procedia CIRP, 30, pp. 323–328. [CrossRef]

Figures

Grahic Jump Location
Fig. 1

Number of documents (including conference papers, articles, reviews, books, and book chapters) on Industry 4.0 and cloud manufacturing published during 2010–2016 (the data were obtained from the Scopus database on Aug. 28, 2016)

Grahic Jump Location
Fig. 2

Core concept map of Industry 4.0 and technologies that enable its implementation

Grahic Jump Location
Fig. 3

Principle of Industry 4.0

Grahic Jump Location
Fig. 4

Core concept map of cloud manufacturing and technologies that enable its implementation

Grahic Jump Location
Fig. 5

Principle of cloud manufacturing

Grahic Jump Location
Fig. 6

Comparison between concepts of Industry 4.0 and cloud manufacturing

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In