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 …
Unveiling the potential of hotel mergers: A hybrid DEA approach for optimizing sector-wide performance in the hospitality industry
Mergers and acquisitions (M&A) in the hospitality sector involve consolidating assets among
hotels through partnerships. While data envelopment analysis (DEA) has been widely used …
hotels through partnerships. While data envelopment analysis (DEA) has been widely used …
A novel inverse DEA model with application to allocate the CO2 emissions quota to different regions in Chinese manufacturing industries
This paper aims to address the problem of allocating the CO2 emissions quota set by
government goal in Chinese manufacturing industries to different Chinese regions. The CO2 …
government goal in Chinese manufacturing industries to different Chinese regions. The CO2 …
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 …
Inverse DEA-R models for merger analysis with negative data
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 …
analysis. For dealing with the data in ratio form, the DEA model for ratio data known as DEA …
Using inverse data envelopment analysis to evaluate potential impact of mergers on energy use optimization-Application in the agricultural production
This paper examines the potential of Mergers & Acquisitions (M&As) as a novel approach to
energy use optimization. The investigations are carried out through inverse data …
energy use optimization. The investigations are carried out through inverse data …
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 …