IE interfaces (산업공학)

Korean Institute of Industrial Engineers (대한산업공학회)
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The Methodologies of Digital Engineering Applications to Manufacturing Collaborations in Automotive Industries

자동차 산업분야의 효과적인 제조협업 구현을 위한 디지털 엔지니어링 적용 방법론에 대한 연구

  • Received : 2011.12.10
  • Accepted : 2012.02.06
  • Published : 2012.03.01
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Abstract

Very special and tentative considerations including emotional aspects are required to apply any new mechanism and methodologies for manufacturing fields due to several reasons. This study reviews the characteristics of manufacturing collaborations through specific cases applied digital engineering to enhance the collaboration performance in manufacturing domains. Two cases of collaboration related with automotive manufacturing process are analyzed to extract meaningful insights for better collaboration model suggestions. The first case deals the robot simulation to find out advance errors in jig and fixture design during the various welding process of body-in-whites. The effective communication protocol to share their idea and agreed schedules are essential for this collaboration. More severe requirement of collaboration between R&D and manufacturing departments are studied in the second case for e-coating process. The invisible barriers among different departments are lowered by the process application of Computer Aided Engineering which can make sure their own interesting effectively. Those technical and managerial suggestions can be used when the information system and standard process are sought to implement and update not only when innovation projects are executed.

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References

  1. Alting, L. A., Boelskifte, M. M. P., Clausen, C., and Jorgensen, U. (2006), Design and Innovation-The DTU Program, International CIRP Design Seminar, 1-8, Calgary, Canada.
  2. Ermilova, E. and Afsarmanesh, H. (2006), Competency and profiling management in virtual organization breeding environments, In network-centric collaboration and supporting frameworks, Boston: Springer, 31-142.
  3. Feldman, M. and Tamir, T. (2009), Approximate strong equilibrium in job scheduling games, Journal of Artificial Intelligence Research, 36, 387-414.
  4. Franssen, M. (2005), Arrow's Theorem, Multi-criteria Decision Problems and Multi-attribute Preferences in Engineering Design, Research in engineering Design, 16(2), 42-56. https://doi.org/10.1007/s00163-004-0057-5
  5. Joel, H. F. and Miloval, P. (2002), Computational Methods for Fluid Dynamics, third, rev. edition, Springer, 1-5.
  6. Hammond, J. H., Koubkeb, R. J., and harvey, C. M. (2001), Distributed Collaboration for Engineering Design : A Review and Reappraisal, Human Factors and Ergonomics in Manufacturing, 11(1), 35-52. https://doi.org/10.1002/1520-6564(200124)11:1<35::AID-HFM3>3.0.CO;2-E
  7. Harzallah, M. and Vernadat, F. (2002), IT-based competency modeling and management : From theory to practice in enterprise engineering and operations, Computers in Industry, 48(2), 157-179. https://doi.org/10.1016/S0166-3615(02)00003-9
  8. Kim, H.-S., Lee, S. C., Lee, S. S., and Lee, Y.-C. (2011), Numerical Simulation of e-coating Process in the Design of Suspension Modules, KSAE Annual Conference, Daejeon, Korea, 2328-2332.
  9. Lu, S. C.-Y. (2006), Beyond Concurrent Engineering : a New Foundation for Collaborative Engineering, International Journal of Advanced Manufacturing Systems, 9(2), 27-40.
  10. Luis, M. C.-M., Hamideh, A., Nathalie, G., and Arturo, M. (2009), Collaborative networked organizations-Concepts and practice in manufacturing enterprise, Computers and Industrial Engineering, 57, 46-60. https://doi.org/10.1016/j.cie.2008.11.024
  11. Price, M., Raghunathan, S., and Curran, R. (2007), An integrated systems engineering approach to aircraft design, Progress in Aerospace Sciences, 42, 331- 376.
  12. Papalambros, P. Y. and Wilde, D. J. (2000), Principles of Optimal Design : Modeling and Computation, Cambridge University Press.
  13. Parag, C. P. (2011), Game theory applications for multi-agent systems, Expert Systems with Applications, 39, 273-279.
  14. Pentland, A., Choudhury, T., Eagle, N., and Singh, P. (2005), Human Dynamics: Computation for Organization, Pattern Recognition, 26(2), 503-511. https://doi.org/10.1016/j.patrec.2004.08.012
  15. Raffaella, C., Vittorio, C., and Raffaelaa, M. (2000). Differences and similarities in managing technological collaborations in research, development and manufacturing : a case study, Journal of Engineering and Technology Management, 17, 193-224. https://doi.org/10.1016/S0923-4748(00)00021-7
  16. Lu, S. C.-Y., Elmaraghy, W., Schuh, G., and Wilhelm, R. (2007), A Scientific Foundation of Collaborative Engineering, Annals of the CIRP, 56(2), 605-607. https://doi.org/10.1016/j.cirp.2007.10.010
  17. Tseng, M. M., Kjellberg, T., and Lu, S. C.-Y. (2003), Design in the New E-Commerce Era, Annals of the CIRP, 52(2), 43-54.