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Math. Comput. Appl. 2014, 19(1), 1-11; doi:10.3390/mca19010001

Chance Constrained Data Envelopment Analysis for Efficiency Analysis: An Application to Turkish Manufacture of Iron and Steel Sector

1
Department of Computer Education, Gazi University, 06830, Gölbaşı, Ankara, Turkey
2
Department of Statistics, Gazi University, 06500, Teknikokullar, Ankara, Turkey
3
Department of Industrial Technology Education, Gazi University, 06830, Gölbaşı, Ankara, Turkey
*
Author to whom correspondence should be addressed.
Published: 1 April 2014
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Abstract

This study aims to determine the technical efficiency levels of the enterprises active in the “Manufacture of Basic Iron and Steel and of Ferro-Alloys” sector in Turkey. The inputs and outputs are deterministic in classical Data Envelopment Analysis, so the changes in exchange rate, inflation rate, etc. aren’t considered, and the precautions for future inconsistencies are not foreseen. This leads to critics of deterministic Data Envelopment Analysis models. In this paper, the additive model developed depending on the Banker, Charnes and Cooper (BCC) model was extended by chance constrained programming formulations in order to overcome the insufficiencies in deterministic Data Envelopment Analysis, and the technical analysis of “Manufacture of Basic Iron and Steel and of Ferro-Alloys” sector was performed.
Keywords: efficiency; data envelopment analysis; chance constrained programming efficiency; data envelopment analysis; chance constrained programming
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Gedik, H.; Bal, H.; İzciler, M. Chance Constrained Data Envelopment Analysis for Efficiency Analysis: An Application to Turkish Manufacture of Iron and Steel Sector. Math. Comput. Appl. 2014, 19, 1-11.

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Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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