A Data Envelopment-Based Clustering Approach for Public Sugar Factories in Privatizing Process
نویسندگان
چکیده
Turkish Sugar Inc., a public enterprise including 25 factories, is the first corporation of Turkish industry. According to the government policy, public sugar factories PSFs will be privatized as geography-based 6 portfolio groups in two years. As performance measures of PSF affect government, sugar producers, and several unions in privatizing process, a systematic approach is necessary to measure efficiencies and grouping factories. This paper uses a new DEAData Envelopment Analysisbased clustering approach for measuring efficiency scores of PSF and grouping them instead of geographybased portfolio groups. This new approach can help decision makers in privatizing process. At the same time, target values obtained by dual model can be used to eliminate inefficiencies of some PSFs.
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