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 …

This paper introduces an integrated approach based on data envelopment analysis (DEA),
principal component analysis (PCA) and numerical taxonomy (NT) for total energy efficiency …

Railway level crossings (RLCs) are critical points characterized by a large number of
accidents per year due to the intersection of railway and roadway infrastructures. The …

Users of data envelopment analysis (DEA) often presume efficiency estimates to be robust.
While traditional DEA has been exposed to various sensitivity studies, network DEA has so …

This paper explores the effects of environmental regulation (ER) and rural residents' health
investment (RRHI) on agricultural eco-efficiency (AEE) to provide a reference for the …

To enhance the conventional framework of data envelope analysis (DEA), a novel hybrid bi-
level model is proposed, integrating fuzzy logic with triangular fuzzy numbers to effectively …

An effective method for evaluating the efficiency of peer decision-making units (DMUs) is
data envelope analysis (DEA). In engineering sciences and real-world management …

Constrained improvement refers to regulating rivalry between companies in a particular
industry by defining a framework or an evaluation mechanism. Such a mechanism results in …

The bullwhip effect (BWE) is a major challenge engineers facing in the industry. From the
time and economic point of view, it is important to determine stability regions, where the …

Although technological innovation is critical for growth and future survival, small and
medium scale enterprises (SMEs) are at a disadvantage compared to larger organizations …