In recent years, globalization has highlighted the vital role of sustainable supply chains
(SSCs) in the development of organizations and production systems to increase profits. The …

The industry dynamic creates a difficult problem that must be solved if we are to address
climate change. How can we lower greenhouse gas (GHG) emissions while simultaneously …

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 …

Estimating potential gains from mergers is an important strategic decision-making problem.
This paper introduces a new inverse data envelopment analysis (DEA) based on a cost …

Traditional inverse DEA models could be called inverse radial DEA because they are based
on radial efficiency measures. Due to the neglect of slacks in evaluating the efficiency score …

In the conventional data envelopment analysis (DEA) approach, decision making units
(DMUs) are regarded as black boxes that transform sets of inputs into sets of outputs without …

As an important component of data envelopment analysis (DEA), the inverse DEA method
often has no feasible solution under variable returns to scale (VRS). By analyzing the reason …

In this paper, we formulate an inverse data envelopment analysis (DEA) model for a serially
linked two-stage production process operating under constant returns to scale technology …

This paper focuses on assessing sustainability of supply chains. In this paper, at first, we
propose network dynamic range adjusted measure (RAM) model. Then, inverse version of …

This paper proposes a non-oriented, non-radial Inverse Data Envelopment Analysis
(InvDEA) approach for target setting. The changes of any input and output dimensions may …