As an essential part of strategic emerging industry, the light emitting diode (LED) industry plays important role in development a national economy as well being technology that is pivotal to energy saving and environmental protection. Due late start China’s LED there are few related studies, especially on efficiency enterprises. The data envelopment analysis (DEA) method widely used measuremen...

evaluation of corporate performance has been one of the main issues in managing decision making. nowadays, evaluation of the suppliers is a completely strategic process because organizations rarely change their suppliers. thesuppliers also do their best to remain stable in the loop of supply chain. hence, it is important to evaluate the suppliers and not something to be done once at a time. it ...

In this paper, we discuss the relationship between multi-attribute utility theory and DEA models without explicit inputs (DEA-WEI), including dual models and some theoretical analysis of DEA-WEI models. We then propose generic DEA-WEI models with quadratic utility terms. Finally, we provide illustrative examples to show that DEA-WEI with suitable quadratic utility terms are able to reflect some...

In this research we employ data envelopment analysis (DEA) to measure the Malmquist productivity of semiconductor packaging and testing firms in Taiwan from 2000 to 2003. Malmquist productivity has three components: the measurement of technical change, the measurement of the frontier forward shift, and the measurement of the frontier backward shift of a company over two consecutive periods. Thi...

This paper proposes an efficient approach for optimizing the multiple quality characteristics (QCHs) in manufacturing applications on the Taguchi method using the super efficiency technique in data envelopment analysis (DEA). Each experiment in Taguchi’s orthogonal array (OA) is treated as a decision making unit (DMU) with multiple QCHs set as inputs or outputs. DMU’s efficiency is evaluated th...

Ever since the birth of data envelopment analysis (DEA) the question of ranking the decision making units (DMUs) has been one of the focal points of research in the area. Among several other approaches, promising attempts have been made to marry DEA with the analytic hierarchy process (AHP) method. Keeping the idea of using DEA-based pairwise comparisons between the DMUs, as proposed in some DE...

The research focus of the scientific paper is on the problem of equity portfolio construction. The author recommends applying frontier analysis technique such as Data Envelopment Analysis to the performance measurement of emitters. Using modern computer technologies, the author has calculated efficiency score of twenty Baltic companies which are quoted at NASDAQ OMX Riga and NASDAQ OMX Tallinn ...

Sensitivity analysis in data envelopment analysis (DEA) is studied for the case of the proportionate change of a subset of outputs or/and of a subset of inputs of an efficient decision making unit (DMU) according to the Charnes–Cooper–Rhodes (CCR) ratio model. Sufficient conditions for an efficient DMU to preserve its efficiency under the proportionate change of a subset of inputs or/and of out...