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http://dx.doi.org/10.7545/ajip.2021.10.3.380

Analyzing Technological Trends of Smart Factory using Topic Modeling  

Hussain, Adnan (Dept. of Industrial & Systems Engineering, Gyeongsang National University)
Kim, Chulhyun (Dept. of Industrial Engineering, Induk University Seoul)
Battsengel, Ganchimeg (Dept. of Industrial & Systems Engineering, Gyeongsang National University)
Jeon, Jeonghwan (Dept. of Industrial & Systems Engineering, Gyeongsang National University)
Publication Information
Asian Journal of Innovation and Policy / v.10, no.3, 2021 , pp. 380-403 More about this Journal
Abstract
Recently, smart factories have gained significant importance since the development of the fourth industrial revolution and the rise of global industrial competition. Therefore, the industries' survival to meet the global market trends requires accurate technological planning. Although, different works are available to investigate forecasting technologies and their influence on the smart factory. However, little significant work is available yet on the analysis of technological trends concerning the smart factory, which is the core focus herein. This work was performed to analyze the technological trends of the smart factory, followed by a detailed investigation of recent research hotspots/frontiers in the field. A well-known topic modeling technique, namely Latent Dirichlet Allocation (LDA), was employed for this study described above. The technological trends were further strengthened with the in-depth analysis of a smart factory-based case study. The findings produced the technological trends which possess significant potential in determining the technological strategies. Moreover, the results of this work may be helpful for researchers and enterprises in forecasting and planning future technological evolution.
Keywords
Smart factory; Topic modeling; Latent Dirichlet Allocation(LDA); Patent analysis; Technological trends; Industry 4.0;
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1 Zhu, Q., Li, G., & Wu, W. (2018). Research on smart factory model of color TV industry based on Intelligent Manufacturing. Proceedings of 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference, ITOEC 2018, Itoec, 1739-1742. https://doi.org/10.1109/ITOEC.2018.8740690   DOI
2 Lee, M. H., Yun, J. H. J., Pyka, A., Won, D. K., Kodama, F., Schiuma, G., Park, H. S., Jeon, J., Park, K. B., Jung, K. H., Yan, M. R., Lee, S. Y., & Zhao, X. (2018). How to respond to the Fourth Industrial Revolution, or the second information technology revolution? Dynamic new combinations between technology, market, and society through open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 4(3). https://doi.org/10.3390/joitmc4030021   DOI
3 Lehmhus, D., Aumund-Kopp, C., Petzoldt, F., Godlinski, D., Haberkorn, A., Zollmer, V., & Busse, M. (2016). Customized Smartness: A Survey on Links between Additive Manufacturing and Sensor Integration. Procedia Technology, 26, 284-301. https://doi.org/10.1016/j.protcy.2016.08.038   DOI
4 Lucke, D., Constantinescu, C., & Westkamper, E. (2008). Smart Factory - A Step towards the Next Generation of Manufacturing. Manufacturing Systems and Technologies for the New Frontier, Sfb 627, 115-118. https://doi.org/10.1007/978-1-84800-267-8_23
5 Jeon, J., & Suh, Y. (2017). Analyzing the Major Issues of the 4th Industrial Revolution. Asian Journal of Innovation & Policy, 6(3), 262-273. http://web.b.ebscohost.com/ehost/detail/detail?vid=0&sid=32c5d468d8124fd68fb3b929e0e273ab%40sessiomgr102&bdata=JnNpdGU9ZWhvc3QtbGl2ZSZzY29wZT1zaXRl#AN=129379372&db=bsu   DOI
6 Anantharaman, A., Jadiya, A., Siri, C. T. S., Adikar Bharath, N. V. S., & Mohan, B. (2019). Performance evaluation of topic modeling algorithms for text classification. Proceedings of the International Conference on Trends in Electronics and Informatics, ICOEI 2019, 2019-April(Icoei), 704-708. https://doi.org/10.1109/icoei.2019.8862599   DOI
7 Blei, D., Carin, L., & Dunson, D. (2010). Probabilistic topic models. IEEE Signal Processing Magazine, 27(6), 55-65. https://doi.org/10.1109/MSP.2010.938079   DOI
8 Blei, D. M., & Lafferty, J. D. (2006). Dynamic topic models. ACM International Conference Proceeding Series, 148, 113-120. https://doi.org/10.1145/1143844.1143859   DOI
9 Campbell, J. C., Hindle, A., & Stroulia, E. (2015). Latent Dirichlet Allocation: Extracting Topics from Software Engineering Data. The Art and Science of Analyzing Software Data, 3, 139-159. https://doi.org/10.1016/B978-0-12-411519-4.00006-9   DOI
10 Chen, B., Wan, J., Shu, L., Li, P., Mukherjee, M., & Yin, B. (2017). Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges. IEEE Access, 6, 6505-6519. https://doi.org/10.1109/ACCESS.2017.2783682   DOI
11 Cheng, J., Chen, W., Tao, F., & Lin, C. L. (2018). Industrial IoT in 5G environment towards smart manufacturing. Journal of Industrial Information Integration, 10. https://doi.org/10.1016/j.jii.2018.04.001   DOI
12 Alghamdi, R., & Alfalqi, K. (2015). A Survey of Topic Modeling in Text Mining. International Journal of Advanced Computer Science and Applications, 6(1), 147-153. https://doi.org/10.14569/ijacsa.2015.060121   DOI
13 Chen, X., Zou, D., Cheng, G., & Xie, H. (2020). Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of Computers & Education. Computers and Education, 151(September 2019), 103855. https://doi.org/10.1016/j.compedu.2020.103855   DOI
14 Tao, F., & Zhang, M. (2017). Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing. IEEE Access, 5, 20418-20427. https://doi.org/10.1109/ACCESS.2017.2756069   DOI
15 Alcacer, V., & Cruz-Machado, V. (2019). Scanning the Industry 4.0: A Literature Review on Technologies for Manufacturing Systems. Engineering Science and Technology, an International Journal, 22(3), 899-919. https://doi.org/10.1016/j.jestch.2019.01.006   DOI
16 Radziwon, A., Bilberg, A., Bogers, M., & Madsen, E. S. (2014). The smart factory: Exploring adaptive and flexible manufacturing solutions. Procedia Engineering, 69, 1184-1190. https://doi.org/10.1016/j.proeng.2014.03.108   DOI
17 Mohamed, N., Al-Jaroodi, J., & Lazarova-Molnar, S. (2019). Industry 4.0: Opportunities for enhancing energy efficiency in smart factories. SysCon 2019 - 13th Annual IEEE International Systems Conference, Proceedings. https://doi.org/10.1109/SYSCON.2019.8836751   DOI
18 Pagnon, W. (2017). The 4th Industrial Revolution - A Smart Factory Implementation Guide. International Journal of Advanced Robotics and Automation, 2(2), 1-5. https://doi.org/10.15226/2473-3032/2/2/00123   DOI
19 Phuyal, S., Bista, D., & Bista, R. (2020). Challenges, Opportunities and Future Directions of Smart Manufacturing: A State of Art Review. Sustainable Futures, 2(March), 100023. https://doi.org/10.1016/j.sftr.2020.100023   DOI
20 Resman, M., Turk, M., & Herakovic, N. (2020). Methodology for planning smart factory. Procedia CIRP, 97, 401-406. https://doi.org/10.1016/j.procir.2020.05.258   DOI
21 Thoben, K. D., Wiesner, S. A., & Wuest, T. (2017). "Industrie 4.0" and smart manufacturing-a review of research issues and application examples. International Journal of Automation Technology, 11(1), 4-16. https://doi.org/10.20965/ijat.2017.p0004   DOI
22 Yang, H. L., Chang, T. W., & Choi, Y. (2018). Exploring the research trend of smart factory with topic modeling. Sustainability (Switzerland), 10(8). https://doi.org/10.3390/su10082779   DOI
23 Kang, H. S., Lee, J. Y., Choi, S., Kim, H., Park, J. H., Son, J. Y., Kim, B. H., & Noh, S. Do. (2016). Smart manufacturing: Past research, present findings, and future directions. International Journal of Precision Engineering and Manufacturing - Green Technology, 3(1), 111-128. https://doi.org/10.1007/s40684-016-0015-5   DOI
24 Porter, K. (2018). Analyzing the DarkNetMarkets subreddit for evolutions of tools and trends using LDA topic modeling. Proceedings of the Digital Forensic Research Conference, DFRWS 2018 USA, 26, S87-S97. https://doi.org/10.1016/j.diin.2018.04.023   DOI
25 Mittal, S., Khan, M. A., Romero, D., & Wuest, T. (2019). Smart manufacturing: Characteristics, technologies and enabling factors. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 233(5). https://doi.org/10.1177/0954405417736547   DOI
26 Shi, Z., Xie, Y., Xue, W., Chen, Y., Fu, L., & Xu, X. (2020). Smart factory in Industry 4.0. Systems Research and Behavioral Science, 37(4), 607-617. https://doi.org/10.1002/sres.2704   DOI
27 Wiktorsson, M., Noh, S. Do, Bellgran, M., & Hanson, L. (2018). Smart Factories: South Korean and Swedish examples on manufacturing settings. Procedia Manufacturing, 25, 471-478. https://doi.org/10.1016/j.promfg.2018.06.128   DOI
28 Zuehlke, D. (2010). SmartFactory-Towards a factory-of-things. Annual Reviews in Control, 34(1), 129-138. https://doi.org/10.1016/j.arcontrol.2010.02.008   DOI
29 Erzurumlu, S. S., & Pachamanova, D. (2020). Topic modeling and technology forecasting for assessing the commercial viability of healthcare innovations. Technological Forecasting and Social Change, 156(March), 120041. https://doi.org/10.1016/j.techfore.2020.120041   DOI
30 Lee, J., Bagheri, B., & Kao, H. A. (2015). A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18-23. https://doi.org/10.1016/j.mfglet.2014.12.001   DOI
31 Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business and Information Systems Engineering, 6(4), 239-242. https://doi.org/10.1007/s12599-014-0334-4   DOI
32 Hameed, B., Durr, F., & Rothermel, K. (2011). RFID based complex event processing in a smart real-time factory. Expert Discussion: Distributed Systems in Smart Spaces.
33 Lee, H., Seo, H., & Geum, Y. (2018). Uncovering the topic landscape of product-service system research: From sustainability to value creation. Sustainability (Switzerland), 10(4). https://doi.org/10.3390/su10040911   DOI