This article presents a literature review to identify the current knowledge of supply chains 4.0
from the sustainability perspective. Reviewed papers were classified in terms of objectives …

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 …

Green technology innovation is the main driving force for sustainable development of
China's strategic emerging industries. Improving the efficiency of green technology …

This paper is the first to examine both technical efficiency and scale elasticity of the forest
sector across different European (EU) regions in an uncertain environment. In doing so, a …

Assessing the efficiency of a supply chain (SC) is of great importance for managers and
policy makers. For this aim, we propose a network data envelopment analysis (NDEA) …

Data envelopment analysis (DEA) is a mathematical programming technique for efficiency
analysis. For dealing with the data in ratio form, the DEA model for ratio data known as DEA …

This paper aims to assess container terminal (CT) efficiency with the effect of carbon
neutrality. Among mechanisms to achieve carbon neutrality in CTs' operations, emission …

In this paper we present a new model combining the major underlying ideas behind the
Slacks-Based Measure (SBM) and the Data Envelopment Analysis-Ratio based (DEA-R) …

Based on adopting the global super-efficiency slacks-based measure (GSSBM) model to
calculate green innovation efficiency (GIE), this paper systematically investigates GIE's …

Purpose This paper aims to present two-stage network models in the presence of stochastic
ratio data. Design/methodology/approach Black-box, free-link and fix-link techniques are …