This paper presents a systematic approach for evaluating the performance of a project based organization using a two-level fuzzy data envelopment analysis (DEA) technique in project based organizations. In order to determine the required inputs and outputs, important indicators are selected using both expert judgments and statistical analysis and a two-level DEA model is adapted. In this model, by considering different inputs and outputs through a hierarchical process, a large number of sub indicators are provided and rolled up to a higher level. Since inputs and outputs are combinations of qualitative and quantitative indicators, fuzzy logic is also included through the modeling procedure. In addition, since the exact amount cannot be attributed to the indicators, the proposed model uses interval values for the project life cycle. Finally, some of the projects are evaluated throughout the approach proposed in this paper.
DOI: j.msl.2011.10.007 Keywords: Two level DEA ,Fuzzy ,Project based organization Performance evaluation How to cite this paper: Hedayata, M & Bagherpour, M. (2012). A two level DEA in project based organizations.Management Science Letters, 2(1), 11-20.
References
Atkinson, R. (1999). Project management: cost, time and quality, two best guesses and a phenomenon, its time to accept other success criteria. International Journal of Project Management, 17(6), 337–342.
Cao, Q., & Hoffman, J.J. (2010). A case study approach for developing a project performance evaluation system. International Journal of Project Management, 29, 155-164. Cheung, S.O., Suen Henry, C.H., & Cheung, K.W. (2004). PPMS: a web based construction project performance monitoring system. Automation in construction, 13, 361–376. Depotis, D.K., & Smirlis, Y.G. (2002). Data envelopment analysis with imprecise data. European Journal of Operational Research, 140, 24–36. Dweiri, F.T., & Kablan, M.M. (2005). Using fuzzy decision-making for the evaluation of the project management internal efficiency. Decision Support System, 42(2), 712–726. Kao, C. (2008). A linear formulation of the two-level DEA model. Omega, 36, 958–962. Kao, C., & Liu, S.T. (2003). A mathematical programming approach to fuzzy efficiency ranking. International Journal of Production Economics, 86, 45-54. Kao, C., & Liu, S.T. (2005). Data envelopment analysis with imprecise data: An application of Tiwan machinery firms, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, 13 (2) 440-445. Kao, C., & Liu, S.T. (2006b). Data envelopment analysis with missing data: A application to University libraries in Tiwan, Journal of Operation Research Society, 51, 897-905. Lauras, M., Marques, G., & Gourc, D. (2010). Towards a multi-dimensional project Performance Measurement System, Decision Support Systems, 48, 342–353. Lertworasirikul, S., Fang, S.C., Jeffrey A.J., & Henry L.W. (2003b). Fuzzy data envelopment analysis: A credibility approach. Fuzzy set based heuristics for optimization, 145, 141-158. Ling, F., Low, S., Wang, S., & Lim, H. (2009). Key project management practices affecting Singaporean firms’ project performance in China. International Journal of Project Management, 27(1), 59–71. Meng, W., Zhanga, D., Qib, L., & Liu, W. (2008). Two-level DEA approaches in research evaluation. Omega, 36, 950 – 957. Might, R.J., & Fischer, W.A. (1985). The role of structural factors in determining project management success. IEEE Trans. Engineering Management, 32 (2), 71–77. Milosevic, D., & Patanakul, P. (2005). Standardized project management may increase development project success. International Journal of Project Management, 23, 181–192. Prabhakar, G.P. (2008). What is project success: a literature review. International Journal of Business Management, 3 (9), 3–10. Saati, S., Memariani, A., & Jahanshahloo, G.R. (2002). Efficiencies analysis and ranking of DMUs with fuzzy data. Fuzzy Optimization and Decision Making, 1, 255-267. Senqupta, S., & Tunbull, J. (1996). Seamless optimization, IIE Sol, 19, 369-373. Shenhar, A.J., Dvir, D., Levy, O., & Maltz, A.C. (2001). Project success: A multidimensional strategic concept. Long Range Planning, 34(4), 699–725. Soleimani-damanch, M., Jahanshahloo, G.R., & Abbasbandy, S. (2006). Computational and theoretical pitfalls in some current performance measurement techniques and a new approach. Applied Mathematics and Computation, 181(2), 1199-1207. Thomas, G., & Fernandez, W. (2008). Success in IT projects: A matter of definition?. International Journal of Project Management, 26(7), 733–742. Vitner, G., Rozenes, Sh., & Spraggett, S. (2006). Using data envelopment analysis to compare project efficiency in multi-project environment, International Journal of Project Management, 24, 323-329. |
![]() |
® 2013 GrowingScience.Com