Advertisement

Towards Cloud Based Collaborative Design – Analysis in Digital PLM Environment

  • Siddharth Sharma
  • Frédéric Segonds
  • Nicolas Maranzana
  • Damien Chasset
  • Vincent Frerebeau
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 540)

Abstract

This paper proposes a cloud-based PLM methodology to carry out collaborative design by implementing industrial scenario representing realistic collaboration among all the stake holders. In a world of advancing information technology and more than ever demand in the requirement of spatially inter connected collaborative work space, cloud based generic design process methodology seems to be a viable option. However, it has been noticed that there has been little effort directed towards Cloud Based Design (CBD). It is a widely accepted fact that nearly 80% of the manufacturing cost of a product is determined by its design process and hence targeting the very same process of PLM is the prime focus in this paper. With an increase in the complexity of products along with the squeezed budget across all industries, there has been a growing demand to have cross company collaboration. To deal with such a complex requirement of communication and coordination between all the players in the design process, this paper links the field of collaborative design and cloud computing to propose paradigm-based solution to cater generic design process. This paper showcases the main advantages when CBD data and legacy CAD data are used to create a unified digital model to achieve a true cross company collaboration by the means of Cloud Based Collaborative Design (CBCD) methodology.

Keywords

Cloud Collaborative design PLM Interactive design Legacy users 

References

  1. 1.
    Clark, K.B.: Product Development Performance: Strategy, Organization, and Management in the World Auto Industry. Harvard Business Press, Brighton (1991)Google Scholar
  2. 2.
    Kasey, P.: Top Trends in the Gartner Hype Cycle for Emerging Technologies, Gartner (2017)Google Scholar
  3. 3.
    Smith, D.M., Anderson, Ed.: Hype Cycle for Cloud Computing, Gartner (2017)Google Scholar
  4. 4.
    Pahl, G., Beitz, W.: Engineering Design, vol. 984. Design Council, LondonGoogle Scholar
  5. 5.
    Hicks, B., Culley, S., McMahon, C.A.: The barriers to improving information management in engineering organizations. In: Proceedings of International Conference on Engineering Design, ICED 2007 (2007)Google Scholar
  6. 6.
    Barham, P., et al.: Xen and the art of virtualization. ACM SIGOPS Oper. Syst. Rev. 37(5), 164–177 (2003)CrossRefGoogle Scholar
  7. 7.
    Datakit: Datakit value to CAM, CMM & control vendors (2018). www.datakit.com
  8. 8.
    Lu, S.C.-Y., Cai, J., Burkett, W., Udwadia, F.: A methodology for collaborative design process and conflict analysis. CIRP Ann. 49(1), 69–73 (2000)CrossRefGoogle Scholar
  9. 9.
    Red, E., French, D., Jensen, G., Walker, S.S., Madsen, P.: Emerging design methods and tools in collaborative product development. J. Comput. Inf. Sci. Eng. 13(3), 031001 (2013)CrossRefGoogle Scholar
  10. 10.
    Wu, D., Rosen, D.W., Schaefer, D.: Cloud-based design and manufacturing: status and promise. In: Schaefer, D. (ed.) Cloud-Based Design and Manufacturing (CBDM), pp. 1–24. Springer, Heidelberg (2014).  https://doi.org/10.1007/978-3-319-07398-9_1CrossRefGoogle Scholar
  11. 11.
    Andreadis, G., Fourtounis, G., Bouzakis, K.-D.: Collaborative design in the era of cloud computing. Adv. Eng. Softw. 81(11), 66–72Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2018

Authors and Affiliations

  • Siddharth Sharma
    • 1
    • 2
  • Frédéric Segonds
    • 1
  • Nicolas Maranzana
    • 1
  • Damien Chasset
    • 2
  • Vincent Frerebeau
    • 2
  1. 1.Arts et Métiers, ParisTech, LCPIParisFrance
  2. 2.Dassault SystèmesVélizy VillacoublayFrance

Personalised recommendations