Journal of the Korea Management Engineers Society (한국경영공학회지)

Korea Management Engineers Society (한국경영공학회)
권호 표지

Structural Framework to Measure Smart Technology Capability for Smart Factory of Manufacturing Fields

  • CHUI, YOUNG YOON (Department of IT Applied-Convergence, Korea National University of Transportation)
  • Received : 2018.11.21
  • Accepted : 2018.12.31
  • Published : 2018.12.31
⟨ Previous Next ⟩

Abstract

Smart technology has been utilized in various fields of all kinds of industries. Manufacturing industry has built its smart technology environment appropriate for its manufacturing fields in order to strengthen its manufacturing performance and competitiveness. The advance of smart technology for manufacturing industry needs to efficiently produce products, and response customer's demands and services in a global industrial environment. The smart technology capability of manufacturing fields is very crucial for the innovative production and efficient operation activities, and for efficient advancement of the manufacturing performance. We have necessitated a scientific and objective method that can gauge a smart technology ability in order to manage and strengthen the smart technology ability of manufacturing fields. This research provides a comprehensive framework that can rationally gauge the smart technology capability of manufacturing fields for effectively managing and advancing their smart technology capabilities. In this research, we especially develop a structural framework that can gauge the smart technology capability for a smart factory of manufacturing fields, with verifying by reliability analysis and factor analysis based on previous literature. This study presents a 13-item framework that can measure the smart technology capability for a smart factory of manufacturing fields in a smart technology perspective.

Keywords

References

  1. Accenture (2016), The secret to cracking the code on the Digital Factory, https://www.accenture.com/t20160526T014610__w_/us-en/_acnmedia/PDF-20/Accenture-Strategy-Digital-Factory-Cracking-the-Code.pdf.
  2. Baur, C. and Wee, D. (2015), Manufacturing's next act", McKinsey Quarterly, June.
  3. Chae, Y. I. and Lee, H. S. (2014), An Empirical Study on Factors Affecting Acceptance and Avoidance of Smartphone Advertising, Journal of the Korea Management Engineers Society, 19(4), 75-93.
  4. Cho, Y. J. and Lee, H. J. (2014), Research about the Korean-style Smart Factory Reference Model, Proc. ICMTE 2014 Annual Fall Conference, The Korean Society of Manufacturing Technology Engineers, 13-14.
  5. Etezadi-Amoli, J. and Farhoomand, A. F. (1996), A Structural Model of End User Information Satisfaction and User Performance, Information &Management, 30, 65-73.
  6. Fedorov, A., Goloschchapov, E., Ipatov, O., Potekhin, V., Shkodyrev, V., and Zobnin, S. (2015), Aspects of Smart Manufacturing Via Agent based Approach, Procedia Engineering, 100, 1572-1581. https://doi.org/10.1016/j.proeng.2015.01.530
  7. Gourgand, M. and Kellert, P. (1992), An objectoriented methodology for manufacturing system modelling, In Summer Computer Simulation Conference, Society For Computer Simulation, 1123-1123.
  8. Jang, J. E. and Kim, E. J. (2016), Survey on Industrial Wireless Network Technologies for Smart Factory, Journal of Platform Technology, 4(4), 3-10.
  9. Jung, S. Y., Oh, J. S., Kim, B. H., Choi, Y. J., and Choi, H. Z. (2013), Evolution of Manufacturing Collaboration Technology based on IT and SMART Manufacturing Collaboration System, Proceeding of the Society of CAD/CAM Conference, 375-383.
  10. Kagermann, H., Riemensperger, F., Hoke, D., Helbig, J., Stocksmeier, D., Wahlster, W., and Schweer, D. (2014), Smart Service Welt: Recommendations for the Strategic Initiative Web-based Services for Businesses, Berlin: Acatech-National Academy of Science and Engineering.
  11. Kang, Y. S., Park, I. H., and Youm, S. (2016), Performance Prediction of a Mongo DB-Based Traceability System in Smart Factory Supply Chains, Sensors, 16(12), 2126-2034. https://doi.org/10.3390/s16122126
  12. Kim, H., Park, J. H., Kim, G. Y., and Park, Y. G. (2014), ICT-based Smart Factory, Electronics and Telecommunications Trends, 29-5, ETRI.
  13. Korea Ministry of Trade, Industry and Energy, (2015), Smart Factory Technology Development Roadmap.
  14. Lee, G. T., Lee, G. J., and Song, B. H. (2015), Trend of Smart Factory Technologies, PD Issue Report, 15-4, KEIT.
  15. Lee, J. (2003), E-manufacturing-fundamental, tools, and transformation, Robotics and Computer Integrated Manufacturing, 19(6), 501-507. https://doi.org/10.1016/S0736-5845(03)00060-7
  16. Lee, J. A. and Kim, Y. H. (2014), Industry 4.0 and creative economy strategy for manufacturing industry, IT & Future Strategy Report, 2, NIA.
  17. Lee, S. H., Kim, J. Y., and Lee, W. H. (2017), Smart Factory Literature Review and Strategies for Korean Small Manufacturing Firms, Journal of Information Technology Applications and Management, 24(4), 133-152.
  18. McHancy, R., Hightower, R., and Pearson, J. (2002), A validation of end-user computing satisfaction instrument in Taiwan, Information &Management, 39, 503-511.
  19. Oh, C. (2018), Can Smart Car Technologies Change Technology Paradigm in Automobile Industry, Journal of the Korea Management Engineers Society, 23(2), 67-79.
  20. Park, H. S. and Tran, N. H. (2015), A Smart Machining System," The Korean Society for Precision Engineering, 32(1), 39-47. https://doi.org/10.7736/KSPE.2015.32.1.39
  21. Torkzadeh, G. and Doll, W. J. (1999), The Development of a Tool for Measuring the Perceived Impact of Information Technology on Work, Omega, International Journal of Measurement Science, 27, 327-339. https://doi.org/10.1016/S0305-0483(98)00049-8
  22. Torkzadeh, G. and Lee, J. W. (2003), Measures of Perceived End-user's Information Skills, Information & Management, 40, 607-615. https://doi.org/10.1016/S0378-7206(02)00090-3
  23. Wang, W. J. and Yum, C. S. (2015), Astudy on the Effect of e-Service quality on Loyalty via Trust and Customer Satisfaction for Mobile Banking based on Smart Phones: Fosusing on China, Journal of the Korea Management Engineers Society, 20(4), 15-23.
  24. World Economic Forum (2016), The future of jobs: Employment, skills and workforce strategy for the fourth industrial revolution, World Economic Forum, Geneva, Switzerland.
  25. Xu, X. and Hua, Q. (2017), Industrial big data analysis in smart factory : current status and research strategies, IEEE Access, 5, 17543-17551. https://doi.org/10.1109/ACCESS.2017.2741105
  26. Yoon, C. Y. (2007), Development of a Measurement Model of Personal Information Competency in Information Environment, The Korea Society of Information Processing and Systems, 14-D, 131-138.