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Engineering    2017, Vol. 3 Issue (5) : 616 -630
Research |
Intelligent Manufacturing in the Context of Industry 4.0: A Review
Ray Y. Zhong1,Xun Xu1(),Eberhard Klotz2,Stephen T. Newman3
1. Department of Mechanical Engineering, The University of Auckland, Auckland 1142, New Zealand
2. Industry 4.0 Campaign, Festo AG & Co. KG, Esslingen 73726, Germany
3. Department of Mechanical Engineering, University of Bath, Bath BA2 7AY, UK

Our next generation of industry—Industry 4.0—holds the promise of increased flexibility in manufacturing, along with mass customization, better quality, and improved productivity. It thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. Intelligent manufacturing plays an important role in Industry 4.0. Typical resources are converted into intelligent objects so that they are able to sense, act, and behave within a smart environment. In order to fully understand intelligent manufacturing in the context of Industry 4.0, this paper provides a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things (IoT)-enabled manufacturing, and cloud manufacturing. Similarities and differences in these topics are highlighted based on our analysis. We also review key technologies such as the IoT, cyber-physical systems (CPSs), cloud computing, big data analytics (BDA), and information and communications technology (ICT) that are used to enable intelligent manufacturing. Next, we describe worldwide movements in intelligent manufacturing, including governmental strategic plans from different countries and strategic plans from major international companies in the European Union, United States, Japan, and China. Finally, we present current challenges and future research directions. The concepts discussed in this paper will spark new ideas in the effort to realize the much-anticipated Fourth Industrial Revolution.

Keywords Intelligent manufacturing      Industry 4.0      Internet of Things      Manufacturing systems      Cloud manufacturing      Cyber-physical system     
Corresponding Authors: Xun Xu   
Online First Date: 06 November 2017    Issue Date: 08 November 2017
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Ray Y. Zhong
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Stephen T. Newman
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Ray Y. Zhong,Xun Xu,Eberhard Klotz, et al. Intelligent Manufacturing in the Context of Industry 4.0: A Review[J]. Engineering, 2017, 3(5): 616 -630 .
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1   Lee J, Bagheri B, Kao HA. A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manuf Lett 2015;3:18–23
doi: 10.1016/j.mfglet.2014.12.001
2   Lasi H, Fettke P, Kemper HG, Feld T, Hoffmann M. Industry 4.0. Bus Inform Syst Eng 2014;6(4):239–42
doi: 10.1007/s12599-014-0334-4
3   Wang S, Wan J, Zhang D, Li D, Zhang C. Towards smart factory for Industry 4.0: A self-organized multi-agent system with big data based feedback and coordination. Comput Netw 2016;101:158–68
doi: 10.1016/j.comnet.2015.12.017
4   Shen WM, Norrie DH. Agent-based systems for intelligent manufacturing: A state-of-the-art survey. Knowl Inf Syst 1999;1(2):129–56
doi: 10.1007/BF03325096
5   Wan J, Tang S, Li D, Wang S, Liu C, Abbas H, et al.A manufacturing big data solution for active preventive maintenance. IEEE Trans Ind Inform 2017;13(4):2039–47
doi: 10.1109/TII.2017.2670505
6   Wang SY, Wan J, Li D, Zhang C. Implementing smart factory of Industrie 4.0: An outlook. Int J Distrib Sens N 2016;2016:3159805
doi: 10.1155/2016/3159805
7   McFarlane D, Sarma S, Chirn JL, Wong CY, Ashton K. Auto ID systems and intelligent manufacturing control. Eng Appl Artif Intel 2003;16(4):365–76
doi: 10.1016/S0952-1976(03)00077-0
8   Kusiak A. Intelligent manufacturing systems.Old Tappan: Prentice Hall Press; 1990.
9   Li B, Hou B, Yu W, Lu X, Yang C. Applications of artificial intelligence in intelligent manufacturing: A review. Front Inform Tech El 2017;18(1):86–96
doi: 10.1631/FITEE.1601885
10   Davis J, Edgar T, Porter J, Bernaden J, Sarli M. Smart manufacturing, manufacturing intelligence and demand-dynamic performance. Comput Chem Eng 2012;47:145–56
doi: 10.1016/j.compchemeng.2012.06.037
11   Feeney AB, Frechette SP, Srinivasan V. A portrait of an ISO STEP tolerancing standard as an enabler of smart manufacturing systems. J Comput Inf Sci Eng 2015;15(2):021001
doi: 10.1115/1.4029050
12   Festo Group. Qualification for Industry 4.0.Denkendorf: Festo Didactic SE; 2017.
13   Oztemel E. Intelligent manufacturing systems. In: Benyoucef L, Grabot B, editors Artificial intelligence techniques for networked manufacturing enterprises management.London: Springer; 2010. p. 1–41
doi: 10.1007/978-1-84996-119-6_1
14   Koren Y, Wang W, Gu X. Value creation through design for scalability of reconfigurable manufacturing systems. Int J Prod Res 2017;55(5): 1227–42
doi: 10.1080/00207543.2016.1145821
15   Barbosa J, Leitão P, Adam E, Trentesaux D. Dynamic self-organization in holonic multi-agent manufacturing systems: The ADACOR evolution. Comput Ind 2015;66:99–111
doi: 10.1016/j.compind.2014.10.011
16   Zhong RY, Dai QY, Qu T, Hu GJ, Huang GQ. RFID-enabled real-time manufacturing execution system for mass-customization production. Robot Com-Int Manuf 2013;29(2):283–92
doi: 10.1016/j.rcim.2012.08.001
17   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
doi: 10.1109/TII.2014.2306383
18   Bi Z, Xu LD, Wang C. Internet of Things for enterprise systems of modern manufacturing. IEEE Trans Ind Inform 2014;10( 2):1537–46
doi: 10.1109/TII.2014.2300338
19   Lu BH, Bateman RJ, Cheng K. RFID enabled manufacturing: Fundamentals, methodology and applications. Int J Agile Syst Manage 2006;1(1):73–92
doi: 10.1504/IJASM.2006.008860
20   Zhong RY, Li Z, Pang LY, Pan Y, Qu T, Huang GQ. RFID-enabled real-time advanced planning and scheduling shell for production decision making. Int J Comp Integ M 2013;26(7):649–62
doi: 10.1080/0951192X.2012.749532
21   Huang GQ, Zhang YF, Chen X, Newman ST. RFID-enabled real-time wireless manufacturing for adaptive assembly planning and control. J Intell Manuf 2008;19(6):701–13
doi: 10.1007/s10845-008-0121-5
22   Liu WN, Zheng LJ, Sun DH, Liao XY, Zhao M, Su JM, et al.RFID-enabled real-time production management system for Loncin motorcycle assembly line. Int J Comp Integ M 2012;25(1):86–99
doi: 10.1080/0951192X.2010.523846
23   Dai QY, Zhong RY, Huang GQ, Qu T, Zhang T, Luo TY. Radio frequency identification-enabled real-time manufacturing execution system: A case study in an automotive part manufacturer. Int J Comp Integ M 2012;25(1):51–65
doi: 10.1080/0951192X.2011.562546
24   Qu T, Yang HD, Huang GQ, Zhang YF, Luo H, Qin W. A case of implementing RFID-based real-time shop-floor material management for household electrical appliance manufacturer s. J Intell Manuf 2012;23(6):2343–56
doi: 10.1007/s10845-010-0476-2
25   Wang ML, Qu T, Zhong RY, Dai QY, Zhang XW, He JB. A radio frequency identification-enabled real-time manufacturing execution system for one-of-a-kind production manufacturing: A case study in mould industry. Int J Comp Integ M 2012;25(1):20–34
doi: 10.1080/0951192X.2011.575183
26   Huang GQ, Qu T, Zhang YF, Yang HD. RFID-enabled product-service system for automotive part and accessory manufacturing alliances. Int J Prod Res 2012;50(14):3821–40
doi: 10.1080/00207543.2011.592863
27   Cao H, Folan P, Mascolo J, Browne J. RFID in product lifecycle management: A case in the automotive industry. Int J Comp Integ M 2009;22(7):616–37
doi: 10.1080/09511920701522981
28   Saygin C, Tamma S. RFID-enabled shared resource management for aerospace maintenance operations: A dynamic resource allocation model. Int J Comp Integ M 2012;25(1):100–11
doi: 10.1080/0951192X.2010.551784
29   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 2010;16(1):1–7. Chinese.
30   Xu X. From cloud computing to cloud manufacturing. Robot Com-Int Manuf 2012;28(1):75–86
doi: 10.1016/j.rcim.2011.07.002
31   Zhang L, Luo Y, Tao F, Li BH, Ren L, Zhang X, et al.Cloud manufacturing: A new manufacturing paradigm. Enterp Inf Syst—UK 2014;8(2):167–87
doi: 10.1080/17517575.2012.683812
32   Wu DZ, Greer MJ, Rosen DW, Schaefer D. Cloud manufacturing: Strategic vision and state-of-the-art. J Manuf Syst 2013;32(4):564–79
doi: 10.1016/j.jmsy.2013.04.008
33   Lu YQ, Xu X. A semantic web-based framework for service composition in a cloud manufacturing environment. J Manuf Syst 2017;42:69–81
doi: 10.1016/j.jmsy.2016.11.004
34   Tao F, Zuo Y, Xu LD, Zhang L. IoT-based intelligent perception and access of manufacturing resource toward cloud manufacturing. IEEE Trans Ind Inform 2014;10(2):1547–57
doi: 10.1109/TII.2014.2306397
35   Hoffmeister M, Grahle R. DIN SPEC 91345:2016-04 Referenzarchitekturmodell Industrie 4.0 (RAMI4.0) [Internet]. 2016 [cited 2017 Mar 20]. Available from: German.
36   Adolphs P, Auer S, Bedenbender H, Billmann M, Hankel M, Heidel R, et al.Struktur der verwaltungsschale: Fortentwicklung des referenzmodells für die Industrie 4.0-komponente [Interent].Berlin: Bundesministerium für Wirtschaft und Energie (BMWi); 2016 [cited 2017 Mar 20]. Available from: German.
37   Wang X, Xu XW. An interoperable solution for cloud manufacturing. Robot Com-Int Manuf 2013;29(4):232–47
doi: 10.1016/j.rcim.2013.01.005
38   Liu YK, Xu X, Zhang L, Wang L, Zhong RY. Workload-based multi-task scheduling in cloud manufacturing. Robot Com-Int Manuf 2017;45:3–20
doi: 10.1016/j.rcim.2016.09.008
39   Helu M, Hedberg T Jr. Enabling smart manufacturing research and development using a product lifecycle test bed. Procedia Manuf 2015;1:86–97
doi: 10.1016/j.promfg.2015.09.066
40   Shen WM, 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
doi: 10.1016/j.aei.2006.05.004
41   Shen WM, Hao Q, Wang S, Li Y, Ghenniwa H. An agent-based service-oriented integration architecture for collaborative intelligent manufacturing. Robot Com-Int Manuf 2007;23(3):315–25
doi: 10.1016/j.rcim.2006.02.009
42   Zijm WHM. Towards intelligent manufacturing planning and control systems. OR-Spectrum 2000;22(3):313–45
doi: 10.1007/s002919900032
43   Poon TC, Choy KL, Chow HKH, Lau HCW, Chan FTS, Ho KC. A RFID case-based logistics resource management system for managing order-picking operations in warehouses. Expert Syst Appl 2009;36(4):8277–301
doi: 10.1016/j.eswa.2008.10.011
44   Huang GQ, Zhang YF, Jiang PY. RFID-based wireless manufacturing for real-time management of job shop WIP inventories. Int J Adv Manuf Tech 2008;36(7–8):752–64
doi: 10.1007/s00170-006-0897-4
45   Zhang YF, Jiang P, Huang G. RFID-based smart Kanbans for Just-In-Time manufacturing. Int J Mater Prod Tec 2008;33(1–2):170–84
doi: 10.1504/IJMPT.2008.019780
46   Wang M, Zhong RY, Dai Q, Huang GQ. A MPN-based scheduling model for IoT-enabled hybrid flow shop manufacturing. Adv Eng Inform 2016;30(4):728–36
doi: 10.1016/j.aei.2016.09.006
47   Zhong RY, Peng Y, Xue F, Fang J, Zou W, Luo H, et al.Prefabricated construction enabled by the Internet-of-Things. Automat Constr 2017;76:59–70
doi: 10.1016/j.autcon.2017.01.006
48   Zhong RY, Lan S, Xu C, Dai Q, Huang GQ. Visualization of RFID-enabled shopfloor logistics Big Data in Cloud Manufacturing. Int J Adv Manuf Tech 2016;84(1–4):5–16
doi: 10.1007/s00170-015-7702-1
49   Huang B, Li C, Tao F. A chaos control optimal algorithm for QoS-based service composition selection in cloud manufacturing system. Enterp Inf Syst—UK 2014;8(4):445–63
doi: 10.1080/17517575.2013.792396
50   Qu T, Lei SP, Wang ZZ, Nie DX, Chen X, Huang GQ. IoT-based real-time production logistics synchronization system under smart cloud manufacturing. Int J Adv Manuf Tech 2016;84(1–4):147–64
doi: 10.1007/s00170-015-7220-1
51   Liu YK, Xu X. Industry 4.0 and cloud manufacturing: A comparative analysis. J Manuf Sci Eng 2017;139(3):034701-1–8.
52   Xia F, Yang LT, Wang L, Vinel A. Internet of Things. Int J Commun Syst 2012;25(9):1101–2
doi: 10.1002/dac.2417
53   Farooq MU, Waseem M, Mazhar S, Khairi A, Kamal T. A review on Internet of Things (IoT). Int J Comput Appl 2015;113(1):1–7.
54   Xu LD, He W, Li S. Internet of Things in industries: A survey. IEEE Trans Ind Inform 2014;10(4):2233–43
doi: 10.1109/TII.2014.2300753
55   Lund D, MacGillivray C, Turner V, Morales M. Worldwide and regional Internet of Things (IoT) 2014–2020 forecast: A virtuous circle of proven value and demand.Framingham: International Data Corporation; 2014 May. Report No.: IDC #248451.
56   Wang YM, Wang YS, Yang YF. Understanding the determinants of RFID adoption in the manufacturing industry. Technol Forecast Soc 2010;77(5):803–15
doi: 10.1016/j.techfore.2010.03.006
57   Guo ZX, Ngai EWT, Yang C, Liang X. An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment. Int J Prod Econ 2015;159:16–28
doi: 10.1016/j.ijpe.2014.09.004
58   Li X, Lu R, Liang X, Shen X, Chen J, Lin X. Smart community: An Internet of Things application. IEEE Commun Mag 2011;49(11):68–75
doi: 10.1109/MCOM.2011.6069711
59   Gubbi J, Buyya R, Marusic S, Palaniswami M. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Gener Comp Sy 2013;29(7):1645–60
doi: 10.1016/j.future.2013.01.010
60   Whitmore A, Agarwal A, Da Xu L. The Internet of Things—A survey of topics and trends. Inf Syst Front 2015;17(2):261–74
doi: 10.1007/s10796-014-9489-2
61   Gyrard A, Datta SK, Bonnet C, Boudaoud K. Cross-domain Internet of Things application development: M3 framework and evaluation. In: Awan I, Younas M, Mecella M, editors Proceedings of the 3rd International Conference on Future Internet of Things and Cloud; 2015 Aug 24–25; Rome, Italy. Piscataway: The Institute of Electrical and Electronics Engineers, Inc.; 2015. p. 9–16
doi: 10.1109/FiCloud.2015.10
62   Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M. Internet of Things for smart cities. IEEE Internet Things 2014;1(1):22–32
doi: 10.1109/JIOT.2014.2306328
63   Zhu Q, Wang R, Chen Q, Liu Y, Qin W. IOT Gateway: Bridging wireless sensor networks into Internet of Things. In: Proceedings of the 8th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing; 2010 Dec 11–13; Hong Kong, China. Piscataway: The Institute of Electrical and Electronics Engineers, Inc.; 2010. p. 347–52.
64   Patel P, Cassou D. Enabling high-level application development for the Internet of Things. J Syst Soft ware 2015;103:62–84
doi: 10.1016/j.jss.2015.01.027
65   Shrouf F, Miragliotta G. Energy management based on Internet of Things: Practices and framework for adoption in production management. J Clean Prod 2015;100:235–46
doi: 10.1016/j.jclepro.2015.03.055
66   Zhang Y, Zhang G, Wang J, Sun S, Si S, Yang T. Real-time information capturing and integration framework of the internet of manufacturing things. Int J Comp Integ M 2015;28(8):811–22
doi: 10.1080/0951192X.2014.900874
67   Baheti R, Gill H. Cyber-physical systems. In: Samad T, Annaswamy AM, editors The impact of control technology : Overview, success stories, and research challenges. New York: IEEE Control Systems Society; 2011. p. 161–6.
68   Lee EA. Cyber physical systems: Design challenges. In: Proceedings of the 11th IEEE Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing; 2008 May 5–7; Orlando, FL, USA. Piscataway: The Institute of Electrical and Electronics Engineers, Inc.; 2008. p. 363–9.
69   Tan Y, Goddard S, Pérez LC. A prototype architecture for cyber-physical systems. ACM SIGBED Rev 2008;5(1):26
doi: 10.1145/1366283.1366309
70   Derler P, Lee EA, Vincentelli AS. Modeling cyber-physical systems. Proc IEEE 2012;100(1):13–28
doi: 10.1109/JPROC.2011.2160929
71   . Digital pneumatics: The first valve to be controlled using apps [Internet].Esslingen: Festo AG & Co. KG; [cited 2017 Mar 20].Available from:
72   Klotz E, Duwe J. A pneumatic revolution in automation. Control Eng Europe 2017 Apr:34–5.
73   Ali S, Qaisar SB, Saeed H, Khan MF, Naeem M, Anpalagan A. Network challenges for cyber physical systems with tiny wireless devices: A case study on reliable pipeline condition monitoring. Sensors (Basel) 2015;15(4):7172–205
doi: 10.3390/s150407172
74   Chen B, Butler-Purry KL, Goulart A, Kundur D. Implementing a real-time cyber-physical system test bed in RTDS and OPNET. In: Proceedings of the 2014 North American Power Symposium; 2014 Sep 7–9; Pullman, WA, USA. Piscataway: The Institute of Electrical and Electronics Engineers, Inc.; 2014
doi: 10.1109/NAPS.2014.6965381
75   La HJ, Kim SD. A service-based approach to designing cyber physical systems. In: Matsuo T, Ishii N, Lee R, editors Proceedings of the 9th IEEE/ACIS International Conference on Computer and Information Science; 2010 Aug18–20; Yamagata, Japan. Piscataway: The Institute of Electrical and Electronics Engineers, Inc.; 2010. p. 895–900
doi: 10.1109/ICIS.2010.73
76   Lin J, Sedigh S, Miller A. Towards integrated simulation of cyber-physical systems: A case study on intelligent water distribution. In: Yang B, Zhu W, Dai Y, Yang LT, Ma J, editors Proceedings of the 8th IEEE International Conference on Dependable, Autonomic and Secure Computing; 2009 Dec 12–14; Chengdu, China. Piscataway: The Institute of Electrical and Electronics Engineers, Inc.; 2009. p. 690–5
doi: 10.1109/DASC.2009.140
77   Huang HM, Tidwell T, Gill C, Lu C, Gao X, Dyke S. Cyber-physical systems for real-time hybrid structural testing: A case study. In: Proceedings of the 1st ACM/IEEE International Conference on Cyber-Physical Systems; 2010 Apr 13–15; Stockholm, Sweden. New York: Association for Computing Machinery, Inc .; 2010. p. 69–78
doi: 10.1145/1795194.1795205
78   Meng W, Liu Q, Xu W, Zhou Z. A cyber-physical system for public environment perception and emergency handling. In: Thulasiraman P, Yang LT, Pan Q, Liu X, Chen YC, Huang YP, et al., editors Proceedings of 2011 IEEE International Conference on High Performance Computing and Communications; 2011 Sep 2–4; Banff, AB, Canada. Piscataway: The Institute of Electrical and Electronics Engineers, Inc.; 2011. p. 734–8
doi: 10.1109/HPCC.2011.104
79   Kim J, Kim H, Lakshmanan K, Rajkumar R. Parallel scheduling for cyber-physical systems: Analysis and case study on a self-driving car. In: Proceedings of 2013 ACM/IEEE International Conference on Cyber-Physical Systems; 2013 Apr 8–11; Philadelphia, PA, USA. Piscataway: The Institute of Electrical and Electronics Engineers, Inc.; 2013. p. 31–40
doi: 10.1145/2502524.2502530
80   Wang L, Haghighi A. Combined strength of holons, agents and function blocks in cyber-physical systems. J Manuf Syst 2016;40(Pt 2):25–34
doi: 10.1016/j.jmsy.2016.05.002
81   Silva LC, Perkusich M, Bublitz FM, Almeida HO, Perkusich A. A model-based architecture for testing medical cyber-physical systems. In: Proceedings of the 29th Annual ACM Symposium on Applied Computing; 2014 Mar 24–28; Gyeongju, Korea. New York: Association for Computing Machinery, Inc.; 2014. p. 25–30
doi: 10.1145/2554850.2555028
82   Wan J, Yan H, Liu Q, Zhou K, Lu R, Li D. Enabling cyber-physical systems with machine-to-machine technologies. Int J Ad Hoc Ubiq Co 2013;13(3–4):187–96
doi: 10.1504/IJAHUC.2013.055454
83   Armbrust M, Fox A, Griffith R, Joseph AD, Katz R, Konwinski A, et al.A view of cloud computing. Commun ACM 2010;53(4):50–8
doi: 10.1145/1721654.1721672
84   Zhang Q, Cheng L, Boutaba R. Cloud computing: State-of-the-art and research challenges. J Int Serv Appl 2010;1(1):7–18
doi: 10.1007/s13174-010-0007-6
85   Mell P, Grance T. The NIST definition of cloud computing.Gaithersburg: National Institute of Standards and Technology; 2011
doi: 10.6028/NIST.SP.800-145
86   Saxena VK, Pushkar S. Cloud computing challenges and implementations. In: Proceedings of 2016 International Conference on Electrical, Electronics, and Optimization Techniques; 2016 Mar 3–5; Chennai, India. Piscataway: The Institute of Electrical and Electronics Engineers, Inc.; 2016. p. 2583–8
doi: 10.1109/ICEEOT.2016.7755159
87   Tan X, Ai B. The issues of cloud computing security in high-speed railway. In: Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology; 2011 Aug 12–14; Harbin, China. Piscataway: The Institute of Electrical and Electronics Engineers, Inc.; 2011. p. 4358–63
doi: 10.1109/EMEIT.2011.6023923
88   DE Chaves SA, Westphall CB, Westphall CM, Gerônimo GA. Customer security concerns in cloud computing. In: Proceedings of the 10th International Conference on Networks; 2011 Jan 23–28; St. Maarten, the Netherlands Antilles. Wilmington: IARIA XPS Press; 2011. p. 7–11.
89   Hajivali M, Moghaddam FF, Alrashdan MT, Alothmani AZM. Applying an agent-based user authentication and access control model for cloud servers. In: Proceedings of 2013 International Conference on ICT Convergence; 2013 Oct 14–16; Jeju Island, Korea. Piscataway: The Institute of Electrical and Electronics Engineers, Inc.; 2013. p. 807–12
doi: 10.1109/ICTC.2013.6675484
90   Banyal RK, Jain P, Jain VK. Multi-factor authentication framework for cloud computing. In: Al-Dabass D, Babulak E, Kim D, Shin DR, Kim HS, editors Proceedings of the 5th International Conference on Computational Intelligence, Modelling and Simulation; 2013 Sep 24–26; Seoul, Korea. Piscataway: The Institute of Electrical and Electronics Engineers, Inc.; 2013. p. 105–10
doi: 10.1109/CIMSim.2013.25
91   Maguluri ST, Srikant R, Ying L. Stochastic models of load balancing and scheduling in cloud computing clusters. In: Proceedings of 2012 IEEE INFOCOM; 2012 Mar 25–30; Orlando, FL, USA. Piscataway: The Institute of Electrical and Electronics Engineers, Inc.; 2012. p. 702–10
doi: 10.1109/INFCOM.2012.6195815
92   Abu Sharkh M, Jammal M, Shami A, Ouda A. Resource allocation in a network-based cloud computing environment: Design challenges. IEEE Commun Mag 2013;51(11):46–52
doi: 10.1109/MCOM.2013.6658651
93   Randles M, Lamb D, Taleb-Bendiab A. A comparative study into distributed load balancing algorithms for cloud computing. In: Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications Workshops; 2010 Apr 20–23; Perth, Australia. Piscataway: The Institute of Electrical and Electronics Engineers, Inc.; 2010. p. 551–6
doi: 10.1109/WAINA.2010.85
94   Nuaimi KA, Mohamed N, Nuaimi MA, Al-Jaroodi J. A survey of load balancing in cloud computing: Challenges and algorithms. In: Proceedings of the 2nd IEEE Symposium on Network Cloud Computing and Applications; 2012 Dec 3–4; London, UK. Piscataway: The Institute of Electrical and Electronics Engineers, Inc.; 2012. p. 137–42
doi: 10.1109/NCCA.2012.29
95   Moreno-Vozmediano R, Montero RS, Llorente IM. Key challenges in cloud computing: Enabling the future internet of services. IEEE Internet Comput 2013;17(4):18–25
doi: 10.1109/MIC.2012.69
96   Chauhan MA, Babar MA. Migrating service-oriented system to cloud computing: An experience report. In: Liu L, Parashar M, editors Proceedings of the 4th IEEE International Conference on Cloud Computing; 2011 Jul 4–9; Washington, DC, USA. Piscataway: The Institute of Electrical and Electronics Engineers, Inc.; 2011. p. 404–11
doi: 10.1109/CLOUD.2011.46
97   Khajeh-Hosseini A, Greenwood D, Sommerville I. Cloud migration: A case study of migrating an enterprise IT system to IaaS. In: Proceedings of the 3rd IEEE International Conference on Cloud Computing; 2010 Jul 5–10; Miami, FL, USA. Piscataway: The Institute of Electrical and Electronics Engineers, Inc.; 2010. p. 450–7
doi: 10.1109/CLOUD.2010.37
98   Schubert L. The future of cloud computing: Opportunities for European cloud computing beyond 2010. Jeffery K, Neidecker-Lutz B, editors. Brussels: European Commission; 2010.
99   Petcu D. Portability and interoperability between clouds: Challenges and case study. In: Abramowicz W, Llorente IM, Surridge M, Zisman A, Vayssière J, editors Towards a service-based internet. Berlin: Springer; 2011. p. 62–74
doi: 10.1007/978-3-642-24755-2_6
100   Moghaddam FF, Ahmadi M, Sarvari S, Eslami M, Golkar A. Cloud computing challenges and opportunities: A survey. In: Proceedings of the 1st International Conference on Telematics and Future Generation Networks; 2015 May 26–28; Kuala Lumpur, Malaysia. Piscataway: The Institute of Electrical and Electronics Engineers, Inc.; 2015. p. 34–8
doi: 10.1109/TAFGEN.2015.7289571
101   Buyya R, Yeo CS, Venugopal S, Broberg J, Brandic I. Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Gener Comp Sy 2009;25(6):599–616
doi: 10.1016/j.future.2008.12.001
102   Yang H, Tate M. Where are we at with cloud computing? A descriptive literature review. In: Proceedings of the 20th Australasian Conference on Information Systems; 2009 Dec 2–4; Melbourne, Australia; 2009. p. 807–19.
103   Benfenatki H, Ferreira Da Silva C, Kemp G, Benharkat AN, Ghodous P, Maamar Z. MADONA: A method for automated provisioning of cloud-based component-oriented business applications. Serv Oriented Comput Appl 2017;11(1):87–100
doi: 10.1007/s11761-016-0199-0
104   Wu X, Duan J, Zhang L, AbouRizk SM. A hybrid information fusion approach to safety risk perception using sensor data under uncertainty. Stoch Environ Res Risk Assess 2017. In press
doi: 10.1007/s00477-017-1389-9
105   Sultan N. Discovering the potential of cloud computing in accelerating the search for curing serious illnesses. Int J Inform Manage 2014;34(2):221–5
doi: 10.1016/j.ijinfomgt.2013.12.012
106   Sultan NA. Reaching for the “cloud”: How SMEs can manage. Int J Inform Manage 2011;31(3):272–8
doi: 10.1016/j.ijinfomgt.2010.08.001
107   Valilai OF, Houshmand M. A collaborative and integrated platform to support distributed manufacturing system using a service-oriented approach based on cloud computing paradigm. Robot Com-Int Manuf 2013;29(1):110–27
doi: 10.1016/j.rcim.2012.07.009
108   Kumar V, Sharma D. Cloud computing as a catalyst in STEM education. Int J Inf Commun Technol Educ 2017;13(2):38–51
doi: 10.4018/IJICTE.2017040104
109   Gao Y, Li B. A forensic method for efficient file extraction in HDFS based on three-level mapping. Wuhan Univ J Nat Sci 2017;22(2):114–26
doi: 10.1007/s11859-017-1224-7
110   Ma F, Luo X, Litvinov E. Cloud computing for power system simulations at ISO New England —Experiences and challenges. IEEE Trans Smart Grid 2016;7(6):2596–603
doi: 10.1109/TSG.2016.2569493
111   Huang W, Shuai B, Wang L, Antwi E. Railway container station reselection approach and application: Based on entropy-cloud model. Math Probl Eng 2017;2017:8701081
doi: 10.1155/2017/8701081
112   Manyika J, Chui M, Brown B, Bughin J, Dobbs R, Roxburgh C, et al.Big data: The next frontier for innovation, competition, and productivity. New York: McKinsey Global Institute; 2011.
113   Rich S. Big data is a “new natural resource,” IBM says.2012 Jun 27 [cited 2017 Mar 20]. Available from:
114   Lee J, Lapira E, Bagheri B, Kao H. Recent advances and trends in predictive manufacturing systems in big data environment. Manuf Lett 2013;1(1):38–41
doi: 10.1016/j.mfglet.2013.09.005
115   Barton D, Court D. Making advanced analytics work for you. Harv Bus Rev 2012;90(10):78–83,128.
116   Perrey J, Spillecke D, Umblijs A. Smart analytics: How marketing drives short-term and long-term growth. In: Court D, Perrey J, McGuire T, Gordon J, Spillecke D Big data, analytics, and the future of marketing & sales. New York: McKinsey & Company; 2013.
117   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
doi: 10.1016/j.ijpe.2014.12.031
118   Agarwal R, Weill P. The benefits of combining data with empathy. MIT Sloan Manag Rev [Internet]. 2012 Sep [cited 2017 Mar 20];54(1). Available from:
119   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
doi: 10.1016/j.ymssp.2013.06.004
120   Brown B, Chui M, Manyika J. Are you ready for the era of “big data ”? McKinsey Quarterly 2011;(4):24–35.
121   Davenport TH. The human side of big data and high-performance analytics. Research Report. Portland: International Institute for Analytics; 2012 Aug.
122   Lee J, Kao HA, Yang S. Service innovation and smart analytics for Industry 4.0 and big data environment. Procedia CIRP 2014;16:3–8
doi: 10.1016/j.procir.2014.02.001
123   Wang Y, Kung LA, Byrd TA. Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technol Forecast Soc . In press
doi: 10.1016/j.techfore.2015.12.019
124   Armes T, Refern M. Using big data and predictive machine learning in aerospace test environments. In: Proceedings of the 2013 IEEE AUTOTESTCON; 2013 Sep 16–19; Schaumburg, IL, USA. Piscataway: The Institute of Electrical and Electronics Engineers, Inc.; 2013
doi: 10.1109/AUTEST.2013.6645085
125   Hashim J. Information communication technology (ICT) adoption among SME owners in Malaysia. Int J Bus Inform 2007;2(2):221–40.
126   Bloom N, Garicano L, Sadun R, Van Reenen J. The distinct effects of information technology and communication technology on firm organization. Manage Sci 2014;60(12):2859–85
doi: 10.1287/mnsc.2014.2013
127   Colin M, Galindo R, Hernández O. Information and communication technology as a key strategy for efficient supply chain management in manufacturing SMEs. Procedia Comput Sci 2015;55:833–42
doi: 10.1016/j.procs.2015.07.152
128   Ketteni E, Kottaridi C, Mamuneas TP. Information and communication technology and foreign direct investment: Interactions and contributions to economic growth. Empir Econ 2015;48(4):1525–39
doi: 10.1007/s00181-014-0839-1
129   Yusuf MO. I nformation and communication technology and education: Analysing the Nigerian national policy for information technology. Int Educ J 2005;6(3):316–21.
130   Keller J, von der Gracht HA. The influence of information and communication technology (ICT) on future foresight processes—Results from a Delphi survey. Technol Forecast Soc 2014;85:81–92
doi: 10.1016/j.techfore.2013.07.010
131   Limbu YB, Jayachandran C, Babin BJ. Does information and communication technology improve job satisfaction? The moderating role of sales technology orientation. Ind Market Manag 2014;43(7):1236–45
doi: 10.1016/j.indmarman.2014.06.013
132   Law R, Buhalis D, Cobanoglu C. Progress on information and communication technologies in hospitality and tourism. Int J Contemp Hosp M 2014;26(5):727–50
doi: 10.1108/IJCHM-08-2013-0367
133   Lin YP, Chang TK, Fan C, Anthony J, Petway JR, Lien WY, et al.Applications of information and communication technology for improvements of water and soil monitoring and assessments in agricultural areas—A case study in the Taoyuan irrigation district. Environments 2017;4(1):6
doi: 10.3390/environments4010006
134   Button D, Harrington A, Belan I. E-learning & information communication technology (ICT) in nursing education: A review of the literature. Nurs Educ Today 2014;34(10):1311–23
doi: 10.1016/j.nedt.2013.05.002
135   Matta-Machado ATG, de Lima ÂMLD, de Abreu DMX, Araújo LL, Sobrinho DF, Lopes ÉAS, et al.Is the use of information and communication technology associated with aspects of women’s primary health care in Brazil? J Ambul Care Manage 2017;40 Suppl 2 :S49–59
doi: 10.1097/JAC.0000000000000187
136   Xu B, Xu LD, Cai H, Xie C, Hu J, Bu F. Ubiquitous data accessing method in IoT-based information system for emergency medical services. IEEE Trans Ind Inform 2014;10(2):1578–86
doi: 10.1109/TII.2014.2306382
137   Brettel M, Friederichsen N, Keller M, Rosenberg M. How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 perspective. Int J Mech Ind Sci Eng 2014;8(1):37–44.
138   Kagermann H, Wahlster W, Helbig J; National Academy of Science and Engineering. 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; 2013 Apr.
139   Siemens AG. Sinalytics: The new Siemens platform for digital services [Internet].2015 Dec 08 [cited 2017 Mar 30]. Available from:
140   Zhong RY, Huang GQ, Dai QY, Zhang T. Mining SOTs and dispatching rules from RFID-enabled real-time shopfloor production data. J Intell Manuf 2014;25(4):825–43
doi: 10.1007/s10845-012-0721-y
141   Horizon 2020: The EU framework programme for research and innovation [Internet].Brussels: European Commission; [ cited 2017 Mar 30]. Available from:
142   Evans PC, Annunziata M. Industrial Internet: Pushing the boundaries of minds and machines.Boston: General Electric Company; 2012 Nov.
143 [Internet]. Needham: Object Management Group, Inc.; c2017 [cited 2017 Mar 30]. Available from:
144   Qiu X, Luo H, Xu G, Zhong RY, Huang GQ. Physical assets and service sharing for IoT-enabled Supply Hub in Industrial Park (SHIP). Int J Prod Econ 2015;159:4–15
doi: 10.1016/j.ijpe.2014.09.001
145   Posada J, Toro C, Barandiaran I, Oyarzun D, Stricker D, de Amicis R, et al.Visual computing as a key enabling technology for Industrie 4.0 and Industrial Internet. IEEE Comput Graph Appl 2015;35(2):26–40
doi: 10.1109/MCG.2015.45
146   Predix [Internet]. Boston: General Electric Company; c2017 [cited 2017 Mar 30]. Available from:
147   Gee S. Predix—A platform for the Industrial Internet of Things [Internet].2015 June 30 [cited 2017 Mar 30]. Available from:
148   Winig L. GE’s big bet on data and analytics. MIT Sloan Manag Rev [Internet]. 2016 Mar [cited 2017 Mar 30];57(3):[about 12 p]. Available from:
149   What is IVI? [Internet]. Tokyo: Industrial Value Chain Initiative; c2017 [cited 2017 Mar 30]. Available from:
150   An outline of smart manufacturing scenarios 2016 [Internet]. Tokyo: Industrial Value Chain Initiative; 2017 Feb 23 [cited 2017 Mar 30]. Available from:
151   Dressler U. Internet of Things in Japan: Quietly, systematically plowing ahead [Internet]. 2016 Apr 25 [cited 2017 Mar 30]. Available from:
152   Jiang B, Fei Y. Smart home in smart microgrid: A cost-effective energy ecosystem with intelligent hierarchical agents. IEEE Trans Smart Grid 2015;6(1):3–13
doi: 10.1109/TSG.2014.2347043
153   Simpson TW, Jiao JR, Siddique Z, Hölttä-Otto K, editors. Advances in product family and product platform design: Methods & applications.New York: Springer-Verlag; 2014
doi: 10.1007/978-1-4614-7937-6
154   Zhong RY, Newman ST, Huang GQ, Lan S. Big data for supply chain management in the service and manufacturing sectors: Challenges, opportunities, and future perspectives. Comput Ind Eng 2016;101:572–91
doi: 10.1016/j.cie.2016.07.013
155   Zou J, Chang Q, Arinez J, Xiao G, Lei Y. Dynamic production system diagnosis and prognosis using model-based data-driven method. Expert Syst Appl 2017;80:200–9
doi: 10.1016/j.eswa.2017.03.025
156   Zhong RY, Huang GQ, Lan S, Dai QY, Zhang T, Xu C. A two-level advanced production planning and scheduling model for RFID-enabled ubiquitous manufacturing. Adv Eng Inform 2015;29(4):799–812
doi: 10.1016/j.aei.2015.01.002
157   Luo M, Yan HC, Hu B, Zhou JH, Pang CK. A data-driven two-stage maintenance framework for degradation prediction in semiconductor manufacturing industries. Comput Ind Eng 2015;85:414–22
doi: 10.1016/j.cie.2015.04.008
158   Zhong RY, Huang GQ, Lan S, Dai QY, Chen X, Zhang T. A big data approach for logistics trajectory discovery from RFID-enabled production data. Int J Prod Econ 2015;165:260–72
doi: 10.1016/j.ijpe.2015.02.014
159   Yew AWW, Ong SK, Nee AYC. Towards a griddable distributed manufacturing system with augmented reality interfaces. Robot Com-Int Manuf 2016;39:43–55
doi: 10.1016/j.rcim.2015.12.002
160   Antrobus V, Burnett G, Krehl C. Driver-passenger collaboration as a basis for human-machine interface design for vehicle navigation systems. Ergonomics 2017;60(3): 321–32
doi: 10.1080/00140139.2016.1172736
161   LearningGripper: Gripping and positioning through independent learning [Internet].Esslingen: Festo AG & Co. KG; 2013 Apr [cited 2017 Mar 30]. Available from:
162   BionicANTs: Cooperative behaviour based on natural model [Internet].Esslingen: Festo AG & Co. KG; 2015 Apr [cited 2017 Mar 30]. Available from:
163   Xu X. Machine Tool 4.0 for the new era of manufacturin g. Int J Adv Manuf Tech 2017;92(5–8):1893–900
doi: 10.1007/s00170-017-0300-7
164   Yin YH, Nee AYC, Ong SK, Zhu JY, Gu PH, Chen LJ. Automating design with intelligent human-machine integration. CIRP Ann-Manuf Tech 2015;64(2):655–77
doi: 10.1016/j.cirp.2015.05.008
165   Priego R, Iriondo N, Gangoiti U, Marcos M. Agent-based middleware architecture for reconfigurable manufacturing systems. Int J Adv Manuf Tech 2017;92(5–8):1579–90
doi: 10.1007/s00170-017-0154-z
[1] Zhou Ji, Li Peigen, Zhou Yanhong, Wang Baicun, Zang Jiyuan, Meng Liu. Toward New-Generation Intelligent Manufacturing[J]. Engineering, 2018, 4(1): 11 -20 .
[2] Yubao Chen. Integrated and Intelligent Manufacturing: Perspectives and Enablers[J]. Engineering, 2017, 3(5): 588 -595 .
[3] Yonghua Song,Jin Lin,Ming Tang,Shufeng Dong. An Internet of Energy Things Based on Wireless LPWAN[J]. Engineering, 2017, 3(4): 460 -466 .
[4] Christos G. Cassandras. Smart Cities as Cyber-Physical Social Systems[J]. Engineering, 2016, 2(2): 156 -158 .
[5] Jihong Chen, Jianzhong Yang, Huicheng Zhou, Hua Xiang, Zhihong Zhu, Yesong Li, Chen-Han Lee, Guangda Xu. CPS Modeling of CNC Machine Tool Work Processes Using an Instruction-Domain Based Approach[J]. Engineering, 2015, 1(2): 247 -260 .
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