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.
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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.
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.
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.
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.
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.
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.
McDermott, K. B. (1996). “The Persistence of false memories in list recall.” Journal of Memory and Language, Vol. 35, No. 20, pp. 212–230.
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.
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.
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.
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.
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.
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.
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.
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.
Zadeh, L.A. (1999). “Fuzzy set as a basis for a theory of possibility.” Fuzzy Sets System, Vol. 100, No. 1, pp. 9–23.
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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
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DOI: https://doi.org/10.1007/s12205-012-1196-2