Asian Journal of Innovation and Policy

Asian Society for Innovation and Policy (아시아기술혁신학회)
권호 표지
DOI QR코드

DOI QR Code

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)
  • Received : 2021.07.19
  • Accepted : 2021.09.15
  • Published : 2021.12.31
Download PDF
⟨ Previous Next ⟩

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

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government(MSIT) (No.2019R1A2C1090655).

References

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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.
  12. 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 https://doi.org/10.7545/AJIP.2017.6.3.262
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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