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Open Access Article
1 - Determining the Russell Technical Efficiency of measure in the Presence of Flexible Factors based on slack variables
Majid Sedighi Hassan Kiyadeh Saber Saati Mohtadi Sohrab KordrostamiThe role of some factors is not completely clear as an input or an output in many real applications of Data Envelopment Analysis (DEA). In other words, some Decision Making Units (DMUs) can use a factor as an input while it may play an output role in other DMUs. This ty MoreThe role of some factors is not completely clear as an input or an output in many real applications of Data Envelopment Analysis (DEA). In other words, some Decision Making Units (DMUs) can use a factor as an input while it may play an output role in other DMUs. This type of factors is called flexible factors. In this paper, a model is proposed to develop models of flexible factors type in the DEA model. This model, at the same time, minimizes the inputs contraction factor and maximizes the outputs expansion factor in the Russell efficiency measure, in presence of flexible factors. The proposed measure in objective function is linear. In the other words, the relation between the factors is suggested as an additive function. In fact, the proposed model, in contrast the Russell measure is not nonlinear. By an illustrated example, the proposed model is compared with the existing models. Manuscript profile -
Open Access Article
2 - A Heuristic Method on Extended Two-Stage Network Structures
R. Ahmadzadeh S. Kordrostami A.r. AmirteimooriData Envelopment Analysis (DEA) as a non–parametric method is used to measure relative performance of organizational units. The aim of this paper is to develop a new model to evaluate the efficiency of a general two-stage network structures proposed by Li et al. ( MoreData Envelopment Analysis (DEA) as a non–parametric method is used to measure relative performance of organizational units. The aim of this paper is to develop a new model to evaluate the efficiency of a general two-stage network structures proposed by Li et al. (2012) for measuring the performance of Decision Making Units (DMUs). In addition, this paper expands the work of Li et al. (2012) and improves the heuristic search procedure to estimate the optimal solutions of non-linear centralized models. In order to evaluate the proposed model of this study, it has been applied to a case of regional Research and Development (R&D) system related to 30 provincial level regions in China. The experimental results compared with method developed by Li et al. (2012) show that the proposed method is efficient and has much lower computational complexity. Manuscript profile
List of Articles Sohrab Kordrostami
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