A5043737994- Efficiency Analysis Using DEA
- Optimization and Mathematical Programming
- Multi-Criteria Decision Making
- Supply Chain and Inventory Management
- Environmental Impact and Sustainability
- Sustainable Supply Chain Management
- Economic and Environmental Valuation
- Energy Efficiency and Management
- Economic and Technological Innovation
- Quality and Supply Management
- Monetary Policy and Economic Impact
- Capital Investment and Risk Analysis
- Economic Growth and Productivity
- Industrial Vision Systems and Defect Detection
- Advanced Optical Network Technologies
- Energy, Environment, Economic Growth
- Scheduling and Optimization Algorithms
- Face and Expression Recognition
- Process Optimization and Integration
- Matrix Theory and Algorithms
- Advanced Optimization Algorithms Research
- Transportation Planning and Optimization
- ICT Impact and Policies
- Water resources management and optimization
- Urban and Freight Transport Logistics
Islamic Azad University, Lahijan Branch
2016-2025
Islamic Azad University, Tehran
2003-2023
Islamic Azad University Rasht Branch
2017-2023
Islamic Azad University, Bandar Anzali Branch
2023
Islamic Azad University, Science and Research Branch
2023
University of Guilan
2004-2019
Abstract Data envelopment analysis (DEA) has been proven as an excellent data-oriented performance evaluation method when multiple inputs and outputs are present in a set of peer decision-making units (DMUs). Several efficiency measures have proposed the DEA literature, see, for instances, radial measure Charnes et al. (CCR)(A. Charnes. W.W. Cooper, E. Rhodes, 1978. Measuring decision making units. Eur. J. Oper. Res. 2, 429–444), Russell graph (J.T. Russell, R. Sirvant. 1999. An enhanced...
Inverse data envelopment analysis (IDEA) estimates the inputs/outputs of each decision-making unit (DMU) based on perturbations in outputs/inputs while maintaining relative efficiency. When cost inputs or price outputs is available, it possible to calculate cost, revenue, and profit efficiencies. This study develops an inverse network DEA that includes uncontrollable measures. For this purpose, models are presented for calculating relative, revenue Then, algorithm proposed estimate first...
In classic data envelopment analysis models, two-stage network structures are studied in cases which the input/output set deterministic.In many real applications, however, we face uncertainty.This paper proposes a DEA model when stochastic.A stochastic is formulated based on chance-constrained programming.Linearization techniques and assumption of single underlying factor used to construct equivalent deterministic linear programming model.The relationship between efficiency each stage...
In real applications of data envelopment analysis (DEA), there are a number pitfalls that could have major influence on the efficiency. Some these avoidable and others remain problematic. One most important researchers confront is closeness operational units inputs outputs. performance measurement using DEA, two numbers yield large efficient units. this article, some or outputs will be aggregated reduced iteratively. Numerical examples show in comparison to single DEA method, our approach...
Data Envelopment Analysis (DEA) is a method for evaluating the performance of set homogeneous Decision Making Units (DMUs). When there are uncertainties in problem data, original DEA models might lead to incorrect results. In this study, we present two stochastic p-robust two-stage Network (NDEA) DMUs efficiency estimation under uncertainty based on Stackelberg (leader-follower) and centralized game theory models. This allows deleterious effect objective function better hedge against...
Purpose The purpose of this study is to estimate inputs (outputs) and flexible measures when outputs (inputs) are changed provided that the relative efficiency values remain without change. Design/methodology/approach A novel inverse data envelopment analysis (DEA) approach with proposed in research assess perturbed on condition scores unchanged. Furthermore, DEA approaches used for a numerical example from literature an application Iranian banking industry clarify validate them. Findings...
Inverse Data Envelopment Analysis (IDEA) has gained significant attention among researchers as an analytical tool for assessing efficiency. Estimating input values while ensuring cost efficiency through changes in output quantities is complex and sensitive. In contrast to conventional data envelopment analysis methods, IDEA enables the quantification of input/output variations resulting from output/input reductions or expansions preserving measurement level. This paper aims introduce a novel...