Skip to main content
Log in

A conflict-risk assessment model for urban regeneration projects using Fuzzy-FMEA

  • Research Paper
  • Published:
KSCE Journal of Civil Engineering Aims and scope

Abstract

One of the main reasons urban regeneration projects are highly complex and uncertain is that there are various stakeholders; additionally, the relationships among them are very complex. Considerable conflict tends to occur among the stakeholders of such projects. As a result, the success of an urban regeneration project depends on how successfully conflicts among stakeholders are mediated and a “middle ground” is found. In this respect, performing an adequate assessment of conflict-risk in advance is essential to effective project management. In this research, we propose a conflict-risk assessment model based on Fuzzy-Failure Mode and Effect Analysis (Fuzzy-FMEA) for an urban regeneration project. The proposed model largely consists of three steps: fuzzification, fuzzy rule-based inference, and defuzzification. The methodology and components of each step, such as a membership function for each of fuzzification and defuzzification, and a fuzzy rule base for approximate inference are proposed. Assessment factors, which are suitable for evaluating the conflict-risks in urban regeneration projects, are also suggested. This research provides a typology of conflict-risks in urban regeneration projects so that practitioners can easily use the proposed model. To validate the effectiveness and suitability of the proposed conflict-risk assessment model, we applied the proposed conflict-risk assessment model to 34 conflict types in South Korea using survey results from 84 people currently participating in urban regeneration projects. We expect that this model will assist project managers in examining possible conflict risks more precisely compared with previous risk assessment models including traditional FMEA method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Bowels, J. B. and Pelaez, C. E. (1995). “Fuzzy logic prioritization of failure in a system failure mode, effects and criticality analysis.” Reliability Engineering and System Safety, Vol. 50, No. 2, pp. 203–213.

    Article  Google Scholar 

  • Carbone, T. A. and Tippett, D. D. (2004). “Project Risk Management using the project risk FMEA.” Engineering Management Journal, Vol. 16, No. 4, pp. 28–35.

    Google Scholar 

  • Hong, Y. T., Yu, J. H., Lim, G. H., and Lee, H. S. (2004). “Evaluation of time affecting factors in high-rise building construction using FMEA.” Journal of Architectural Institute of Korea, Vol. 20, No. 10, pp. 183–192.

    Google Scholar 

  • Layzell, J. and Ledbetter, S. (1998). “FMEA applied to cladding systems-reducing the risk of failure.” Building Research & Information, Vol. 26, No. 6, pp. 351–357.

    Article  Google Scholar 

  • Kim, K. K. and Kim, H. S. (2007). “A study for major cost-increasing factors in skyscraper construction using FMEA.” Journal of Architectural Institute of Korea, Vol. 23, No. 5, pp. 171–178.

    Google Scholar 

  • Klir, G. J. and Yuan, B. (1995). Fuzzy sets and Fuzzy logic: Theory and Application, Prentice Hall.

  • Lee, S. K. and Yu, J. H. (2009). “Analysis of conflict in urban regeneration projects.” Korea Institute of Construction Engineering and Management, Vol. 10, No. 6, pp. 78–88.

    Google Scholar 

  • McDermott, K. B. (1996). “The Persistence of false memories in list recall.” Journal of Memory and Language, Vol. 35, No. 20, pp. 212–230.

    Article  Google Scholar 

  • Na, T. J. (2007). “Conflict management of urban development through the cheong-gye stream restoration.” Korea Planners Association, No. 307, 2007-10, pp. 3–13.

  • Oh, Y. B. (2007). A study on the problem and Improvement of housing redevelopment project in Seoul, Master’s Thesis, Hanyang University.

  • Project Management Institute (PMI) (2004). A guide to the project management body of knowledge, 3rd ed., PMI, Wexford.

    Google Scholar 

  • Pillay, A. and Wang, J. (2003). “Modified failure mode and effects analysis using approximate reasoning.” Reliability Engineering and System Safety, Vol. 79, No. 1, pp. 69–85.

    Article  Google Scholar 

  • Rhee, S. J. and Ishii, K. (2003). “Using cost based FMEA to enhance reliability and serviceability.” Advanced Engineering Informatics, Vol. 17, Nos. 3–4, pp. 179–188.

    Article  Google Scholar 

  • Roberts, P. and Sykes, H. (2004). Urban regeneration a handbook, SAGE Publications.

  • Stamatis, D. H. (1995). Failure mode and effects analysis — FMEA for theory to execution, ASQC Quality Press, New York.

    Google Scholar 

  • Wang, Y. M., Chin, K. S., Poon, D. K. K., and Yang, J. B. (2007). “Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean.” Expert System with Applications, Vol. 36, No. 2, pp. 1195–1207.

    Article  Google Scholar 

  • Xu, K., Tang, L. C., Xie, M., Ho, S. L., and Zhu, M. L. (2002). “Fuzzy assessment of FMEA for engine systems.” Reliability Engineering and System Safety, Vol. 75, No. 1, pp. 17–29.

    Article  Google Scholar 

  • Yeh, R. H. and Hsieh, M. H. (2007). “Fuzzy assessment of FMEA for a sewage plant.” Journal of the Chinese Institute of Industrial Engineers, Vol. 24, No. 6, pp. 505–512.

    Article  MathSciNet  Google Scholar 

  • Yu, J. H., Song, J. W., and Kim, C. D. (2008). “Construction safety management using FMEA technique for selecting priority order.” Journal of Construction Engineering and Management, Vol. 9, No. 6, pp. 185–193.

    Google Scholar 

  • Zadeh, L.A. (1999). “Fuzzy set as a basis for a theory of possibility.” Fuzzy Sets System, Vol. 100, No. 1, pp. 9–23.

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Seul-Ki Lee.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yu, JH., Lee, SK. A conflict-risk assessment model for urban regeneration projects using Fuzzy-FMEA. KSCE J Civ Eng 16, 1093–1103 (2012). https://doi.org/10.1007/s12205-012-1196-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12205-012-1196-2

Keywords

Navigation