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http://dx.doi.org/10.21219/jitam.2017.24.4.133

Smart Factory Literature Review and Strategies for Korean Small Manufacturing Firms  

Lee, Sunghee (Department of Business Administration, Hoseo University)
Kim, Jae-Young (Division of Convergence Business, Korea University)
Lee, Wonhee (Department of Business Administration, Hoseo University)
Publication Information
Journal of Information Technology Applications and Management / v.24, no.4, 2017 , pp. 133-152 More about this Journal
Abstract
Smart factory has been regarded as a big opportunity for manufacturing industries. However, little literature has been studied for the current status of Korean smart factory. Our paper tries to find gaps between research and real world by summarizing the recent literature and cases in Korean context. As the present level of smart factory introductions in Korean small manufacturing firms is lower than what a variety of literature says, our study points out that more efforts, investments and government support are required to catch up with the knowhow and technologies of developed countries although real-time control, enhanced productivity have been obtained. In future research, we will continue the smart factory study with the accumulated real data.
Keywords
Smart Factory; Korean Manufacturing; Literature Review;
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1 Hehenberger, P., Vogel-Heuser, B., Bradley, D., Eynard, B., Tomiyama, T., and Achiche, S., "Design, modelling, simulation and integration of cyber physical systems : Methods and applications", Computers in Industry, Vol. 82, 2016, pp. 273-289.   DOI
2 Ivanov, D., Dolgui, A., Sokolov, B., Werner, F., and Ivanova, M., "A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0", International Journal of Production Research, Vol. 54, No. 2, 2016, pp. 386-402.   DOI
3 Kang, Y. S., Park, I. H., and Youm, S., "Performance Prediction of a MongoDB-Based Traceability System in Smart Factory Supply Chains", Sensors, Vol. 16, No. 12, 2016, pp. 2126.   DOI
4 Kannengiesser, U. and Muller, H., "Towards agent-based smart factories : A subjectoriented modeling approach", In Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on (Vol. 3, pp. 83-86), IEEE, 2013.
5 Keddis, N., Kainz, G., and Zoitl, A., "Product- Driven Generation of Action Sequences for Adaptable Manufacturing Systems", IFAC-PapersOnLine, Vol. 48, No. 3, 2015, pp. 1502-1508.   DOI
6 Lee, E. A., "Cyber physical systems : design challenges", In : Technical Report, UCB/ EECS-2008-8; 2008. (http://www.eecs.berkeley. edu/Pubs/TechRpts/2008/EECS-2008- 8.html).
7 Lee, E. A., "Cyber-physical systems-are computing foundations adequate?", NSF Workshop on Cyber-Physical Systems : Research Motivation, Techniques and Roadmap, Austin, Texas, 2006.
8 Lee, J., Bagheri, B., and Kao, H.-A., "A Cyber-Physical Systems Architecture for Industry 4.0-based Manufacturing Systems", Manufacturing Letters, Vol. 3, 2015, pp. 18- 23.   DOI
9 Lee, J., Kao, H. A., and Yang, S., "Service innovation and smart analytics for industry 4.0 and big data environment", Procedia CIRP, Vol. 16, 2014, pp. 3-8.   DOI
10 Li, G., Hu, Y., Chen, H., Li, H., Hu, M., Guo, Y., and Hu, W., "A sensor fault detection and diagnosis strategy for screw chiller system using support vector data description- based D-statistic and DV-contribution plots", Energy and Buildings, Vol. 133, 2016, pp. 230-245.   DOI
11 Li, H. X. and Si, H., "Control for Intelligent Manufacturing : A Multiscale Challenge", Engineering, Vol. 3, No. 5, 2017, pp. 608- 615.   DOI
12 Ministry of Trade, Industry and Energy, Smart Factory Technology Development Roadmap, 2015.
13 Monostori, L., "Cyber-physical production systems : roots, expectations and R&D challenges", Procedia CIRP, Vol. 17, 2014, pp. 9-13.   DOI
14 Mourtzis, D., Vlachou, E., Milas, N., and Xanthopoulos, N., "A cloud-based approach for maintenance of machine tools and equipment based on shop-floor monitoring", Procedia CIRP, Vol. 41, 2016, pp. 655-660.   DOI
15 Norman, D. A., The Design of Everyday Things, New York, Doubleday, 2008.
16 Radziwon, A., Bogers, M., and Bilberg, A., The Smart Factory : Exploring an Open Innovation Solution for Manufacturing Ecosystems, 2014.
17 Park, H., Song, H., Jang, W., Lee, S., and Lim, C., 4th Industrial Revolution, Era of New Manufacturing, Heute, 2017.
18 Platonov, J., Heibel, H., Meier, P., and Grollmann, B., "A mobile markerless AR system for maintenance and repair", In Mixed and Augmented Reality, ISMAR 2006, IEEE/ ACM International Symposium on(pp. 105- 108), IEEE, 2006.
19 Posada, J., Toro, C., Barandiaran, I., Oyarzun, D., Stricker, D., Amicis, R., Pinto, E., Eisert, P., Döllner, J., and Vallarino Jr., I., "Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet", IIEEE Computer Graphics and Applications, March/April, 2015, pp. 26-40.
20 Seo, S. W., Yang, H. C., and Sim, K. B., "Object tracking algorithm of Swarm robot system for using polygon based Q-learning and parallel SVM", International Journal of Fuzzy Logic and Intelligent System, Vol. 8, No. 3, 2008, pp. 220-224.   DOI
21 Sheresh, B. and Sheresh, D., Understanding Directory Services, Systems Research Corporation, 2001.
22 Shpilevoy, V., Shishov, A., Skobelev, P., Kolbova, E., Kazanskaia, D., Shepilov, Y., and Tsarev, A., "Multi-agent system "Smart Factory" for real-time workshop management in aircraft jet engines production", IFAC Proceedings Volumes, Vol. 46, No. 7, 2013, pp. 204-209.
23 Talhi, A., Huet, J. C., Fortineau, V., and Lamouri, S., "Towards a Cloud Manufacturing systems modeling methodology", IFACPapersOnLine, Vol. 48, No. 3, 2015, pp. 288- 293.
24 Rotondi, D., Gusmeroli, S., Givehchi, O., and Jasperneite, J., An application of Directory Service for a Smart Factory, 2014.
25 Azaiez, S., Boc, M., Cudennec, L., Simoes, M. D. S., Haupert, J., Kchir, S., and Schleipen, M., "Towards exibility in future industrial manufacturing : A global framework for self-organization of production cells", Procedia Computer Science, Vol. 83, 2016, pp. 1268-1273.   DOI
26 Van Brussel, H., Wyns, J., Valckenaers, P., Bongaerts, L., and Peeters, P., "Reference architecture for holonic manufacturing systems : PROSA", Computers in Industry, Vol. 37, No. 3, 1998, pp. 255-274.   DOI
27 Veza, I., Mladineo, M., and Gjeldum, N., "Managing Innovative Production Network of Smart Factories", IFAC-PapersOnLine, Vol. 48, No. 3, 2015, pp. 555-560.
28 Vogel-Heuser, B., "Cyber physical production systems/industry 4.0-challenges in research and industrial application", 41st Annual Conference of the IEEE Industrial Electronics Society(IECON), Yokohama, Japan, Plenary Talk, 2015. (https://mediatum. ub.tum.de/node?id=1283333).
29 Wang, L., Törngren, M., and Onori, M., "Current status and advancement of cyberphysical systems in manufacturing", Journal of Manufacturing Systems, Vol. 37(Part 2), 2015, pp. 517-527.   DOI
30 Bagozi, A., Bianchini, D., De Antonellis, V., Marini, A., and Ragazzi, D., "Interactive data exploration as a service for the smart factory", In Web Services(ICWS), 2017 IEEE International Conference on(pp. 293-300), 2017.
31 Cengarle, V., Torngren, M., Bensalem, S., McDermid, J., Sangiovanni-Vincentelli, A., and Passerone, R., "Structuring of CPS domain : characteristics, trends, challengesand opportunities associated with CPS", D2.2 of CyPhERS FP7 Project; 2013. (http://www.cyphers.eu/sites/default/files/D2.2.pdf).
32 Wang, M., "Data fusion processing of the Internet of industrial things based on adaptive unscented Kalman algorithm", Electric Drive Automation, Vol. 38, No. 4, 2016, pp. 43-47.
33 Weyer, S., Schmitt, M., Ohmer, M., and Gorecky, D., "Towards Industry 4.0-Standardization as the crucial challenge for highly modular, multi-vendor production systems", IFAC-PapersOnLine, Vol. 48, No. 3, 2015, pp. 579-584.
34 Brans J. P., Mareschal, B., and Vincke, P. H., "PROMETHEE-a new family of outranking methods in multicriteria analysis", Operational Research IFORS, Vol. 84, 1984, pp. 477-490.
35 Brettel, M., Friederichsen, N., Keller, M., and Rosenberg, M., "How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape : An Industry 4.0", International Journal of Information and Communication Engineering, Vol. 8, No. 1, 2014, pp. 1-8.
36 Camarinha-Matos, L. M. and Macedo, P., "A Conceptual Model of Value Systems in Collaborative Networks", Journal of Intelligent Manufacturing, Vol. 21, No. 3, 2010, pp. 287-299.   DOI
37 Chen, T. and Wang, Y. C., "Estimating simulation workload in cloud manufacturing using a classifying artificial neural network ensemble approach", Robotics and Computer- Integrated Manufacturing, Vol. 38, 2016, pp. 42-51.   DOI
38 Chung, T., Smart Factory-Theory and Practice, 2017.
39 de Lope, J., Maravall, D., and Quinonez, Y., "Self-organizing techniques to improve the decentralized multi-task distribution in multirobot systems", Neurocomputing, Vol. 163, 2015, pp. 47-55.   DOI
40 Dong, J., Zhuang, D., Huang, Y., and Fu, J., "Advances in multi-sensor data fusion : Algorithms and applications", Sensors, Vol. 9, No. 10, 2009, pp. 7771-7784.   DOI
41 Wu, X., Zhu, X., Wu, G.-Q., and Ding, W., "Data mining with big data", IEEE Transactions on Knowledge and Data Engineering, Vol. 26, No. 1, 2014, pp. 97-107.   DOI
42 Wittenberg, C., "Human-CPS Interactionrequirements and human-machine interaction methods for the Industry 4.0", IFACPapersOnLine, Vol. 49, No. 19, 2016, pp. 420-425.
43 Wu, D., Terpenny, J., and Gentzsch, W., "Cloud-Based Design, Engineering Analysis, and Manufacturing : A Cost-Benefit Analysis", Procedia Manufacturing, Vol. 1, 2015, pp. 64-76.   DOI
44 Wu, X., Zhang, J., and Wang, C., "Adaptive neural network control and learning for robot manipulator", Journal of Mechanical Engineering, Vol. 49, No. 15, 2013, pp. 42- 48.
45 Wu, Y., Xing, K., Luo, J., and Feng, Y., "Robust deadlock control for automated manufacturing systems with an unreliable resource", Information Sciences, Vol. 346, 2016, pp. 17-28.
46 Xu, X. and Hua, Q., "Industrial big data analysis in smart factory : current status and research strategies", IEEE Access, Vol. 5, 2017, pp. 17543-17551.   DOI
47 Xu, X., "From cloud computing to cloud manufacturing", Robotics and computerintegrated manufacturing, Vol. 28, No. 1, 2012, pp. 75-86.   DOI
48 Zhang, F., Xue, F., and Xu, Y., "Collaborative modeling method of performance prototype for aerospace products based on ontology", Computer Integrated Manufacturing System, Vol. 22, No. 8, 2016, pp. 1887- 1899.
49 Fang, G., Guo, Y., Liao, H., and Wang, L., "Knowledge representation and annotation method based on ontology for complex products design", Computer Integrated Manufacturing System, Vol. 22, No. 9, 2016, pp. 2063-2071.
50 During, A., Komischke, T., and Wittenberg, C., "Analysis, Design and Evaluation of User-Centered Engineering Tools in Industrial Automation", IFAC Proceedings, Vol. 34, No. 16, 2001, pp. 291-295.
51 Federal Ministry for Economic Affairs and Energy(Germany), http://www.plattformi40.de/I40/Navigation/EN/Home/home.html, 2017.
52 Fedorov, A., Goloschchapov, E., Ipatov, O., Potekhin, V., Shkodyrev, V., and Zobnin, S., "Aspects of Smart Manufacturing Via Agentbased Approach", Procedia Engineering, Vol. 100, 2015, pp. 1572-1581.   DOI
53 Fleischmann, A., Schmidt, W., Stary, C., Obermeier, S., and Borger, E., Subject- Oriented Business Process Management, Berlin : Springer, 2012.
54 Goncalves, G., Reis, J., Pinto, R., Alves, M., and Correia, J., "A step forward on Intelligent Factories : A Smart Sensor-oriented approach", In Emerging Technology and Factory Automation(ETFA), 2014 IEEE (pp. 1-8), IEEE, 2014.
55 Gourgand, M. and Kellert, P., "An objectoriented methodology for manufacturing system modelling", In Summer Computer Simulation Conference (pp. 1123-1123), 1992, Society For Computer Simulation, Etc.
56 Grimheden, M. and Hanson, M., "What is mechatronics? Proposing a didactical approach to mechatronics", In : Proc. of the 1st Baltic Sea Workshop on Education in Mechatronics, Kiel, Germany, 2001.
57 Haag, M., Anforderungsanalyse Servicetechniker( Requirement analysis service technicians), Internal study project, Heilbronn University, 2012.
58 Zhong, R. Y., Xu, X., and Wang, L., "IoTenabled Smart Factory Visibility and Traceability using Laser-scanners", Procedia Manufacturing, Vol. 10, 2017, pp. 1-14.   DOI