COMPLEXITY MEASUREMENT OF PRODUCT MODELS

Stephan Große Austing, Axel Hahn

Abstract

Complexity management in product development is a challenging task. Modelling the relations in and between partial models from different domains in an integrated semantic product model is a step towards complexity awareness. However it still lacks the quantitative measurement of the overall complexity which can be used to compare product models and control development progress. In this paper we present an approach to evaluate the impact of relations on the overall complexity which results into a complexity measure. The approach is based on a regression model created from a RDF/OWL graph.

References

  1. Akao, Y., 1994. Development history of quality function deployment. QFD, the customer-driven approach to quality planning and development”; Tokio, p. 339- 351.
  2. Bashir, H.A. & Thomson, V., 1999. Metrics for design projects: a review. Design Studies, 20(3), p. 263-277.
  3. Böhms, M. et. al, 2009. Product Modelling using Semantic Web Technologies, W3C. Available at: http://www.w3.org/2005/Incubator/w3pm/XGRw3pm-20091008/.
  4. Borsato, M. et. al., 2010. An ontology building approach for knowledge sharing in product lifecycle management. International Journal of Business and Systems Research, 4(3), p. 278-292.
  5. Cooper, R.G., 2001. Winning at New Products: Accelerating the Process from Idea to Launch, 3. Ed. Basic Books.
  6. Danilovic, M. & Browning, T.R., 2007. Managing complex product development projects with design structure matrices and domain mapping matrices. Int. J.of Project Management, 25(3), p. 300-314.
  7. DeMarco, T., 2004. Was man nicht messen kann... ...kann man nicht kontrollieren., Mitp-Verlag.
  8. Hahn, A., Austing, S.G. & Strickmann, J., 2008. Ontology based metrics - applying business intelligence on PLM. Int. J of Product Lifecycle Management, 3(4), p. 308 - 318.
  9. Kearney, J.P. u. a., 1986. Software complexity measurement. Commun. ACM, 29(11), 1044-1050.
  10. King, B., 1989. Better designs in half the time: Implementing QFD quality function deployment in America, GOAL/QPC.
  11. Kreimeyer, M., Daniilidis, C. & Lindemann, U., 2008. A Framework to Classify Process Improvement Projects. In Proc. of the 10th Int. Design Conference. Glasgow: The Design Society, p. 951-958.
  12. Lebcir, M.R., 2006. A Framework for Project Complexity in New Product Development (NPD) Projects. Business School Working Papers UHBS.
  13. Lindemann, U., Maurer, M. & Braun, T., 2008. Structural Complexity Management: An Approach for the Field of Product Design illustrated edition., Springer, Berlin.
  14. Mostefai, S. & Bouras, A., 2006. What ontologies for PLM: a critical analysis. In Proc.: 12th Int. Conference on Concurrent Enterprising. p. 423-430.
  15. Stevens, G. & Burley, J., 1997. 3,000 Raw Ideas = 1 Commercial Success! Research Technology Management, 40(3), p. 16-27.
  16. Stevens, R., 1998. Systems engineering: coping with complexity, Prentice Hall PTR.
  17. Steward, D., 1981. The design structure matrix: a method for managing the design of complex systems. IEEE Trans. on Engineering Management, 28(3), p. 71-74.
  18. Tudorache, T., 2006. Employing Ontologies for an Improved Development Process in Collaborative Engineering. Technische Universität Berlin.
  19. Wallance, L., Keil, M. & Rai, A., 2004. Understanding software project risk: a cluster analysis. Information & Management, 42(1), p. 115-125.
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Paper Citation


in Harvard Style

Große Austing S. and Hahn A. (2010). COMPLEXITY MEASUREMENT OF PRODUCT MODELS . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010) ISBN 978-989-8425-29-4, pages 404-407. DOI: 10.5220/0003097404040407


in Bibtex Style

@conference{keod10,
author={Stephan Große Austing and Axel Hahn},
title={COMPLEXITY MEASUREMENT OF PRODUCT MODELS},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)},
year={2010},
pages={404-407},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003097404040407},
isbn={978-989-8425-29-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)
TI - COMPLEXITY MEASUREMENT OF PRODUCT MODELS
SN - 978-989-8425-29-4
AU - Große Austing S.
AU - Hahn A.
PY - 2010
SP - 404
EP - 407
DO - 10.5220/0003097404040407