A Data Envelopment-Based Clustering Approach for Public Sugar Factories in Privatizing Process | Zendy

Ezgi Demirtaş | Zendy

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A Data Envelopment-Based Clustering Approach for Public Sugar Factories in Privatizing Process

Author(s) -

Ezgi Demirtaş

Publication year - 2011

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2011/946549

Subject(s) - data envelopment analysis , turkish , cluster analysis , government (linguistics) , portfolio , corporation , process (computing) , business , industrial organization , computer science , mathematics , finance , artificial intelligence , statistics , philosophy , linguistics , operating system

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 DEA- (Data Envelopment Analysis-) based clustering approach for measuring efficiency scores of PSF and grouping them instead of geography- based 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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