In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …

By proposing a three-hierarchy meta-frontier data envelopment analysis (DEA), this paper
first decomposes CO 2-emissions efficiency and the potential for emissions reduction into …

Improving environmental efficiency has been regarded as an objective requirement and an
inevitable path to build a resource-saving and environment-friendly society in China. The …

Measuring and improving the energy performance with considering emission constraints is
an important issue for China's energy conservation, pollutant emissions reduction and …

As the world's main energy consumer, China faces an increasingly prominent conflict
between its growing energy consumption and its unreasonable energy consumption …

Supply chain management integrates the intra-and inter-corporate processes as a whole
system. Through information technology, companies can efficiently manage the product flow …

Abstract The inverse Data Envelopment Analysis (DEA) method is primarily used to analyze
the changing relationship between the inputs and outputs of production units while …

Supplier selection plays a key role in an organization because the cost of raw material
constitutes the main cost of the final product. Selecting an appropriate supplier is now one of …

Inverse data envelopment analysis (DEA) is a reversed optimization problem that can serve
as a useful planning tool for managerial decisions by providing information such as how …

With the rising global concern over environment and energy issues, there are many scholars
incorporating them into total factor productivity (TFP) analytical framework. This paper aims …