A review of inverse data envelopment analysis: origins, development and future directions
Data envelopment analysis (DEA) is a widely used mathematical programming approach for
assessing the efficiency of decision-making units (DMUs) in various sectors. Inverse DEA is …
assessing the efficiency of decision-making units (DMUs) in various sectors. Inverse DEA is …
Resource reallocation for improving sustainable supply chain performance: an inverse data envelopment analysis
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 …
(SSCs) in the development of organizations and production systems to increase profits. The …
Scale elasticity and technical efficiency analysis in the European forest sector: a stochastic value-based approach
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 …
sector across different European (EU) regions in an uncertain environment. In doing so, a …
Minimizing greenhouse gas emissions using inverse DEA with an application in oil and gas
M Wegener, GR Amin - Expert Systems with Applications, 2019 - Elsevier
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 …
climate change. How can we lower greenhouse gas (GHG) emissions while simultaneously …
A sustainable lean production framework based on inverse DEA for mitigating gas flaring
The gas flaring process remains a significant contributor to climate change due to the
release of greenhouse gases. Additionally, it denies oil-producing nations access to …
release of greenhouse gases. Additionally, it denies oil-producing nations access to …
A generalized inverse DEA model for firm restructuring based on value efficiency
J Gerami, MR Mozaffari, PF Wanke… - IMA journal of …, 2023 - academic.oup.com
We present a novel general inverse data envelopment analysis model for assessing the
restructuring of decision-making units (DMUs) while observing predetermined value …
restructuring of decision-making units (DMUs) while observing predetermined value …
A new inverse DEA cost efficiency model for estimating potential merger gains: a case of Canadian banks
GR Amin, M Ibn Boamah - Annals of Operations Research, 2020 - Springer
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 …
This paper introduces a new inverse data envelopment analysis (DEA) based on a cost …
Transnational resource generativity: Efficiency analysis and target setting of water, energy, land, and food nexus for OECD countries
Depletion of natural resources needs quantification and efficiency analysis of the use of
resources to improve sustainability. This paper evaluates the efficiency of Organization for …
resources to improve sustainability. This paper evaluates the efficiency of Organization for …
A general inverse DEA model for non-radial DEA
GJ Zhang, JC Cui - Computers & Industrial Engineering, 2020 - Elsevier
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 …
on radial efficiency measures. Due to the neglect of slacks in evaluating the efficiency score …
A new inverse DEA model with frontier changes for analyzing the achievement path of CO2 emissions target of China in 2030
J Lu, M Li, Z Shen - Journal of Cleaner Production, 2022 - Elsevier
China has promised to reduce its CO 2 emissions per gross domestic product (GDP) by 60–
65% relative to 2005 emissions by 2030, which puts higher requirements for the quality of …
65% relative to 2005 emissions by 2030, which puts higher requirements for the quality of …