A model using Data Envelopment Analysis for the cross evaluation of suppliers under uncertainty

KMIS 2011 - Proceedings of the International Conference on Knowledge Management and Information Sharing

Volumn , Issue , 2011, Pages 152-157

  Costantino, Nicola ^a   Dotoli, Mariagrazia ^a   Falagario, Marco ^a   Sciancalepore, Fabio ^a  

^a POLITECNICO DI BARI   (Italy)

Author keywords

Business intelligence; Data Envelopment Analysis; Monte Carlo method; Supplier evaluation; Uncertainty

Indexed keywords

CROSS EVALUATION; CROSS-EFFICIENCY EVALUATION; KEY OBJECTIVE; MONTE CARLO APPROACH; NOVEL METHODOLOGY; OPTIMAL SELECTION; SOUTHERN ITALY; SUPPLIER EVALUATIONS; SUPPLIER SELECTION; SUPPLY PROCESS; UNCERTAINTY;

COMPETITIVE INTELLIGENCE; INFORMATION ANALYSIS; KNOWLEDGE MANAGEMENT; MANAGEMENT SCIENCE; MONTE CARLO METHODS; SUPPLY CHAINS;

DATA ENVELOPMENT ANALYSIS;

EID: 84862215445     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Charnes, A., Cooper, W. W., Rhodes, E., 1978. Measuring the efficiency of decision making units. Eur. J. of Operational Research, Vol. 2, pp. 429-444.
2. Costantino, N., Dotoli, M., Falagario, M., Fanti, M.P., Mangini, A.M., Sciancalepore, F., 2011. Supplier selection in the public procurement sector via a data envelopment analysis approach, 6 pp., Proc. 19th IEEE Mediterranean Conf. on Control and Automation (MED 2011), Corfu, Greece, June 23-25.
3. Dyson, R. G., Shale, E.A., 2010. Data envelopment analysis, operational research and uncertainty, J Oper Res Soc, Vol. 61, Issue 1, pp. 25 - 34
4. Green, R., Doyle, J., 1994. Efficiency and cross-efficiency in DEA: Derivation, Meanings and Uses. J Oper Res Soc Vol. 45, pp. 567-578
5. Ho, W., Xu, X., Dey, P. K., 2010. Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. Eur. J. of Operational Research, Vol. 202, pp. 16-24.
6. Kao, C., Liu, T.-S., 2009. Stochastic data envelopment analysis in measuring the efficiency of Taiwan commercial banks. Eur. J. of Operational Research, Vol. 196, pp. 312-322.
7. Law, A. M., Kelton, W. D., 2000. Simulation Modeling and Analysis. Quarta ed., McGraw-Hill, New York.
8. Sexton, T. R., Silkman, R.H., Hogan, A.J., 1986. Data envelopment analysis: Critique and extensions, in R. H. Silkman (Ed.), Measuring efficiency: An assessment of data envelopment analysis. San Francisco, CA: Jossey-Bass.
9. Vose, D., 2008. Risk analysis: a quantitative guide. John Wiley and Sons, Second Edition.
10. Wong, W. P., Jaruphongsa, W., Lee, L. H., 2008. Supply chain performance measurement system: a Monte Carlo DEA-based approach. Int. J. of Industrial and Systems Engineering,Vol. 3, pp. 162 - 188.