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Developing Key Performance Indicators for Shipbuilding PLM

  • Sehyun Myung
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 540)

Abstract

This paper describes how to develop key performance indicators (KPI) for shipbuilding PLM. The decision maker can evaluate product development performance and risk by analyzing key performance indicators (KPI). Establishment of KPIs in the shipbuilding industry involves analyzing existing performance indicators and benchmarking other industry’s performance indicators. In this paper, the KPIs are classified into three categories: project management viewpoint, business unit viewpoint, and enterprise management viewpoint.

Keywords

Shipbuilding PLM Performance management Key performance indicators Big data analysis 

Notes

Acknowledgement

This work was supported by National IT Industry Promotion Agency (NIPA) grant funded by the Korea government (MSICT) (S1106-16-1025: Development of ship design standard PLM platform based on Big Data) and Y’sU (Youngsan university).

References

  1. 1.
    Drucker, P.F.: The Practice of Management, pp. 181–204. Hankyung, Seoul (2006)Google Scholar
  2. 2.
    Issa, I.I., Pigosso, D.C.A., McAloone, T.C., Rozenfeld, H.: Leading product-related environmental performance indicators: a selection guide and database. J. Clean. Prod. 108(Part A), 321–330 (2015).  https://doi.org/10.1016/j.jclepro.2015.06.088CrossRefGoogle Scholar
  3. 3.
    Rodrigues, V.P., Pigosso, D.C.A., McAloone, T.C.: Process-related key performance indicators for measuring sustainability performance of ecodesign implementation into product development. J. Clean. Prod. 139, 416–428 (2016).  https://doi.org/10.1016/j.jclepro.2016.08.046CrossRefGoogle Scholar
  4. 4.
    Alemanni, M., Alessia, G., Tornincasa, S., Vezzetti, E.: Key performance indicators for PLM benefits evaluation: the Alcatel Alenia Space case study. Comput. Ind. 59(8), 833–841 (2008).  https://doi.org/10.1016/j.compind.2008.06.003CrossRefGoogle Scholar
  5. 5.
    Myung, S., 2008, Implementation process of enterprise PLM system, Proceedings of International Conference on Product Lifecycle Management 2008Google Scholar
  6. 6.
    Folan, P., Browne, J.: A review of performance measurement: towards performance management. Comput. Ind. 56(7), 663–680 (2005).  https://doi.org/10.1016/j.compind.2005.03.001CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2018

Authors and Affiliations

  1. 1.Youngsan UniversityYangsanKorea

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