Return to search

R&amp / d Project Performance Evaluation With Multiple And Interdependent Criteria

iv
In this study, an Analytic Network Process (ANP) and Data Envelopment Analysis
(DEA) based approach was developed in order to measure the performance of
customer-based Research and Development projects being executed in T&Uuml / BTAKSAGE,
Defense Research and Development Institute, under the Scientific and
Technological Research Council of Turkey.
In order to evaluate project performance, many criteria, containing various subcriteria
were determined. In order to handle the interdependencies among the criteria
and the sub-criteria, ANP was used. The ANP model generated in this study is a
hybrid model consisting of both a hierarchy and a network. The pairwise comparison
matrices that were built up for defining the importance and influences of the
criteria/sub-criteria in the ANP model were formed as interval judgments from a
group decision making process, based on data obtained from a questionnaire
conducted among the experts in the Institute. From the interval pairwise comparison
matrices, weight intervals for the sub-criteria were determined and these bounds
were used as assurance region constraints in a super-efficiency DEA model, through
which the project ranking was obtained. Taking into consideration that there may
occur some missing values in some projects for some of the sub-criteria, the superefficiency
DEA model was extended to handle missing data.
The model was applied to a real case study on performance evaluation of the ongoing
customer-based projects in the Institute. For comparison purposes, the case study was
also solved by two other approaches.

Identiferoai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/3/12608397/index.pdf
Date01 June 2007
CreatorsTohumcu, Zeynep
ContributorsKarasakal, Esra
PublisherMETU
Source SetsMiddle East Technical Univ.
LanguageEnglish
Detected LanguageEnglish
TypeM.S. Thesis
Formattext/pdf
RightsTo liberate the content for public access

Page generated in 0.0016 seconds