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Which of DEA or AHP can best be employed to measure efficiency of projects?

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Which of DEA or AHP can best be employed to measure efficiency of projects?

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Sánchez, MA. (2015). Which of DEA or AHP can best be employed to measure efficiency of projects?. International Journal of Production Management and Engineering. 3(2):111-122. https://doi.org/10.4995/ijpme.2015.3528

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Título: Which of DEA or AHP can best be employed to measure efficiency of projects?
Autor: Sánchez, Marisa Analia
Fecha difusión:
Resumen:
[EN] This paper compares Analytic Hierarchy Process (AHP) and Data Envelopment Analysis (DEA) approaches for monitoring projects, in order to determine their performance in terms of economic, environmental and social ...[+]
Palabras clave: Analytic Hierarchy Process , Project Management , Sustainability , Data Envelopment Analysis
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
International Journal of Production Management and Engineering. (issn: 2340-5317 ) (eissn: 2340-4876 )
DOI: 10.4995/ijpme.2015.3528
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/ijpme.2015.3528
Tipo: Artículo

References

Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078-1092. doi:10.1287/mnsc.30.9.1078

Bible, M., Bivins, S. (2011). Mastering Project Portfolio Management. Fort Lauderdale: J. Ross Publishing, Inc.

Chang, D., Yang, F. (2010). Data Envelopment Analysis with Two Distinct Objectives of Inputs or Outputs. In Proc. the 6th International Symposium on Management, Engineering and Informatics. International Institute of Informatics and Systemics, Florida, USA. [+]
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078-1092. doi:10.1287/mnsc.30.9.1078

Bible, M., Bivins, S. (2011). Mastering Project Portfolio Management. Fort Lauderdale: J. Ross Publishing, Inc.

Chang, D., Yang, F. (2010). Data Envelopment Analysis with Two Distinct Objectives of Inputs or Outputs. In Proc. the 6th International Symposium on Management, Engineering and Informatics. International Institute of Informatics and Systemics, Florida, USA.

Joro, T., & Viitala, E.-J. (2004). Weight-restricted DEA in action: from expert opinions to mathematical models. Journal of the Operational Research Society, 55(8), 814-821. doi:10.1057/palgrave.jors.2601752

Kaplan, R., Norton, R. (2004). Strategy Maps. Converting Intangible Assets into Tangible Outcomes. Boston: Harvard Business School Press.

Kendrick, J., Saaty, D. (2007). Use Analytic Hierarchy Process for Project Selection. Six Sigma Forum Magazine, pp. 22-29.

Kumar, S. (2004). AHP- based formal system for R&D project evaluation. Journal of Scientific & Industrial Research, 63: 888-896.

Mar, C. (2009). Specialization versus diversification: non-homogeneity in Data Envelopment Analysis. Proc. 3rd International Conference on Industrial Engineering and Industrial Management, Barcelona, Spain, pp. 1125-1133.

Porter, M., Kramer, M. (2011). Creating shared value. How to reinvent capitalism -and unleash a wave of innovation and growth. Harvard Business Review, 1-17.

Saaty, T. (1997). Toma de decisiones para líderes: El proceso analítico jerárquico. La toma de decisiones en un mundo complejo. Pittsburgh: RWS Publications.

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