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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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dc.contributor.author Sánchez, Marisa Analia es_ES
dc.date.accessioned 2016-11-18T11:28:19Z
dc.date.available 2016-11-18T11:28:19Z
dc.date.issued 2015-07-10
dc.identifier.issn 2340-5317
dc.identifier.uri http://hdl.handle.net/10251/74346
dc.description.abstract [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 organizational goals. This work is founded on an existing methodology to select and monitor projects based on DEA, and discusses modifications and additions arising from using AHP. The proposal is applied to a real case. The results indicate that AHP constitutes an insightful approach in situations requiring a modelling of managerial preferences regarding the relative importance of organizational goals. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València
dc.relation.ispartof International Journal of Production Management and Engineering
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Analytic Hierarchy Process es_ES
dc.subject Project Management es_ES
dc.subject Sustainability es_ES
dc.subject Data Envelopment Analysis es_ES
dc.title Which of DEA or AHP can best be employed to measure efficiency of projects? es_ES
dc.type Artículo es_ES
dc.date.updated 2016-11-18T08:50:05Z
dc.identifier.doi 10.4995/ijpme.2015.3528
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation 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 es_ES
dc.description.accrualMethod SWORD es_ES
dc.relation.publisherversion https://doi.org/10.4995/ijpme.2015.3528 es_ES
dc.description.upvformatpinicio 111 es_ES
dc.description.upvformatpfin 122 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 3
dc.description.issue 2
dc.identifier.eissn 2340-4876
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dc.description.references 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. es_ES
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