Assessment of Operational Risks Associated to New Product Development - An Application using a Bayesian Networks Method

Tito Armando Rossi Filho, Guilherme Luis Roehe Vaccaro, José Antônio Valle Antunes Junior

Abstract

This work presents an application of a method for assessing the operational risks associated to the development of new products, aiming to address the uncertainties of technical and managerial risks. The method has been developed using the Design Research approach, which enabled the development of a set of artifacts linked through six steps, where the main artifact is a Bayesian Network model. The performance evaluation of the application was carried out by a tentative application in a new product being developed at a design center of a global company, where the main focus was to assess the risks associated with reliability failures. This research, besides contributing with a proposal of an application to support the new product risk management, indicates potential enhancements to the decision making process, and to the knowledge management in project environments.

References

  1. Carbone, T.A. and Tippett, D.D., 2004. Project risk management using the Project risk FMEA. Engineering Management Journal, 16(4), p.28.
  2. Chapman, R. J., 201. Simple Tools and Techniques for Enterprise Risk Management. 2nd ed. London: J. Wiley & Sons.
  3. Chen, M., Chen, Y., Chen, B. and Wang, Q., 2007. Analysis on Product Technical Risk With Bayesian Belief Networks. Knowledge Enterprise: Intelligent Strategies in Product Design, Manufacturing and Management. Boston: Springer, p. 990-995.
  4. Comitee of Sponsoring Oganizations of the Treadway Comission (COSO), 2004. Enterprise Risk Management- Integrated Framework. New York: AICPA.
  5. Fenton, N., Neil, M., 2007. Managing Risk in the Modern World: Applications of Bayesian Networks. London: Mathematical Society.
  6. Grubisic, V.V.F., 2009. Metodologia de Gerenciamento Integrado de Riscos Técnicos e Gerenciais para o Projeto de Produtos. Ph.D. UFSC.
  7. Hamada, M.S., Wilson, A., Reese, C.S., Martz, H., 2008. Bayesian Reliability. New York: Springer Science.
  8. Jensen, F.V. and Nielsen, T.D., 2007. Bayesian Networks and Decision Graphs. 2nd ed. New York: Springer Science.
  9. Khodakarami, V., 2009. Applying Bayesian Networks to model Uncertainty in Project Scheduling. Ph. D. Queen Mary, University of London.
  10. Kjaerulff, U.B. and Madsen, A.L., 2008. Bayesian Networks and Influence Diagrams: a Guide to Construction and Analysis. New York: Springer Science.
  11. Manson, N.J., 2006. Is operations research really research? Operations Research Society of South Africa, 22(2).
  12. Modarres, M., 1993. What Every Engineer Should Know About Reliability and Risk Analysis. New York: Marcel Dekker.
  13. Neil, M., Fenton, N. and Nielsen, L.M., 2000. Building Large-Scale Bayesian Networks. The Knowledge Engineering Review, 15(3): p. 257-284.
  14. PMI (Project Management Institute), 2004. ANSI/PMI99- 001-2004 A guide to the project management body of knowledge. Milton Square: Project Management Institute.
  15. Pourret, O., Naim, P. and Marcot, B., 2008. Bayesian Networks: a Practical Guide to Applications. New York: John Wiley & Sons, 429 p.
  16. Takeda H., Veerkamp, P., Tomiyama, T. and Yoshikawa, H. 1990. Modeling design processes. Artificial Intelligence Magazine, 11 (4).
  17. Zio, E., 2007. An Introduction to the Basics of Reliability and Risk Analysis. Danver: World Scientific Publishing.
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Paper Citation


in Harvard Style

Filho T., Vaccaro G. and Junior J. (2013). Assessment of Operational Risks Associated to New Product Development - An Application using a Bayesian Networks Method . In Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-8565-40-2, pages 330-333. DOI: 10.5220/0004286003300333


in Bibtex Style

@conference{icores13,
author={Tito Armando Rossi Filho and Guilherme Luis Roehe Vaccaro and José Antônio Valle Antunes Junior},
title={Assessment of Operational Risks Associated to New Product Development - An Application using a Bayesian Networks Method},
booktitle={Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2013},
pages={330-333},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004286003300333},
isbn={978-989-8565-40-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Assessment of Operational Risks Associated to New Product Development - An Application using a Bayesian Networks Method
SN - 978-989-8565-40-2
AU - Filho T.
AU - Vaccaro G.
AU - Junior J.
PY - 2013
SP - 330
EP - 333
DO - 10.5220/0004286003300333