Sensitivity analysis in Data Envelopment Analysis (DEA) is studied in this paper for the Charnes-Cooper-Rhodes (CCR) ratio model and for the additive model. Different cases of additive or proportionate changes of inputs or/and of outputs of an efficient Decision Making Unit (DMU) according to the CCR model or according to the additive model are considered. Sufficient conditions for an efficient...

In this study, the financial performance of 10 logistics companies operating in storage, transport and services sector Turkey is evaluated for years from 2011 to 2017 by using Data Envelopment Analysis (DEA) method. accordance with purpose input variables are selected as total assets, equity number employees whereas output net sales, profit before interest tax amount exports. measuring performa...

This paper analyzes the efficiency of Korean Ship Component Part Manufacturer firms using DEA model. We evaluated the CCR, BCC efficiency and RTS of 30 Korea Ship Component Part Manufacturer firms. We also suggested the Korean Ship Component Part Manufacturer firms that can be benchmarked based on analyzed information. The result showed five enterprises whose values of CCR efficiency are 1, and...

This paper studies how to conduct efficiency assessment using data envelopment analysis (DEA) in interval and/or fuzzy input–output environments. A new pair of interval DEA models is constructed on the basis of interval arithmetic, which differs from the existing DEA models handling interval data in that the former is a linear CCR model without the need of extra variable alternations and uses a...

Background and objectives: Managers will be able to allocate resources optimally using performance evaluation data, specifically, efficiency evaluation of organizations. An efficiency evaluation of hospitals can be provided by determining the optimal scales for each hospital, to which optimal allocation of resources will be possible. Therefore, the present study aimed to evalua...

Renewable energy has recently been a promising interest as substitute for fossil fuels due to an increasing demand well rising concern over the environmental impact of fuel consumption around globe. Biofuel, in particular, is type renewable energy, which can be derived from various biomass types. In this research, we analyze relative efficiencies using Data Envelopment Analysis (DEA) technique ...

This paper discusses returns to scale (RTS) in data envelopment analysis (DEA) for each of the presently available types of models. The BCC and CCR models are treated in input oriented forms while the multiplicative model is treated in output oriented form. (This distinction is not pertinent for the additive model which simultaneously maximizes outputs and minimizes inputs in the sense of a vec...

The fabless integrated circuit (IC) design is one of the most important sectors of the semiconductor industry. In 2010, the total revenue of the fabless IC design sector had already hit US$59.6 billion, accounting for one-fifth of the total semiconductor industry revenue. Thus, understanding the efficiency of fabless IC design houses is critical not only for managers of fabless IC design houses...

Data envelopment analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs). Recently network DEA models been developed to examine the efficiency of DMUs with internal structures. The internal network structures range from a simple two-stage process to a complex system where multiple divisions are linked together with intermediate measures. In general, there ar...