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A multicriteria sorting approach based on data envelopment analysis for R&D project selection problem
Date
2017-12-01
Author
Karasakal, Esra
Aker, Pinar
Metadata
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In this paper, multiple criteria sorting methods based on data envelopment analysis (DEA) are developed to evaluate research and development (R&D) projects. The weight intervals of the criteria are obtained from Interval Analytic Hierarchy Process and employed as the assurance region constraints of models. Based on data envelopment analysis, two threshold estimation models, and five assignment models are developed for sorting. In addition to sorting, these models also provide ranking of the projects. The developed approach and the well-known sorting method UTADIS are applied to a real case study to analyze the R&D projects proposed to a grant program executed by a government funding agency in 2009. A five level R&D project selection criteria hierarchy and an assisting point allocation guide are defined to measure and quantify the performance of the projects. In the case study, the developed methods are observed to be more stable than UTADIS.
Subject Keywords
Management Science and Operations Research
,
Strategy and Management
,
Information Systems and Management
URI
https://hdl.handle.net/11511/35345
Journal
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
DOI
https://doi.org/10.1016/j.omega.2016.12.006
Collections
Department of Industrial Engineering, Article
Citation Formats
IEEE
ACM
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MLA
BibTeX
E. Karasakal and P. Aker, “A multicriteria sorting approach based on data envelopment analysis for R&D project selection problem,”
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
, vol. 73, pp. 79–92, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/35345.