R&D Project Performance Evaluation With Multiple and Interdependent Criteria

Date

2010-11-01

Author

Tohumcu, Zeynep
Karasakal, Esra

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In this study, we develop an approach based on analytic network process (ANP) and data envelopment analysis (DEA) to evaluate the performance of Research and Development projects. We identify a set of criteria and subcriteria having interdependencies among themselves. Interdependency is treated using a hybrid ANP model consisting of both hierarchy and network. The interval pairwise comparison matrices are constructed in a group decision-making process. ANP is extended to obtain interval weights from the interval pairwise comparison matrices. Interval weights are formulated as assurance region constraints in a super-efficiency DEA model, through which the project ranking is obtained. The super-efficiency DEA model is also modified to handle missing data. The approach is applied to a real case study on performance evaluation of the ongoing projects in a Defense Research and Development Institute.

Subject Keywords

Strategy and Management, Electrical and Electronic Engineering

URI

https://hdl.handle.net/11511/36115

Journal

IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT

DOI

https://doi.org/10.1109/tem.2009.2036159

Collections

Department of Industrial Engineering, Article

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Citation Formats

Z. Tohumcu and E. Karasakal, “R&D Project Performance Evaluation With Multiple and Interdependent Criteria,” IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, pp. 620–633, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/36115.