The high consumption of energy and the production of greenhouse gases have forced the government to impose restrictions on energy consumption and reduce environmental pollutants in industries. In this research, a model based on Bounded adjusted measure (BAM) and central أکثر
The high consumption of energy and the production of greenhouse gases have forced the government to impose restrictions on energy consumption and reduce environmental pollutants in industries. In this research, a model based on Bounded adjusted measure (BAM) and centralized resource allocation is presented, which reduces pollution among all units by solving only one model. The presented model can be useful for pollution control in specific geographical or industrial area where the central manager wants to reduce pollution to a certain level among all units.
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In this paper, a new method for centralized resource allocation based on the proposed SBM model of data envelopment analysis has been introduced. Models of DEA search targets separately for each DMU, but in this proposed model, by solving one model searches targets for أکثر
In this paper, a new method for centralized resource allocation based on the proposed SBM model of data envelopment analysis has been introduced. Models of DEA search targets separately for each DMU, but in this proposed model, by solving one model searches targets for all DMUs and projects all of them on the efficient frontier where this method will find a better image point rather than the previous methods. The goal is to reduce inputs and increase outputs to the non-radial. Finally, it is compared with previous methods by illustrating some examples and it seems that this method is for better.
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This paper proposes a centralized network data envelopment analysis model that combines the centralized data envelopment analysis model with possibility of downsizing and two-stage network data envelopment analysis. In the proposed model, this paper also considers the s أکثر
This paper proposes a centralized network data envelopment analysis model that combines the centralized data envelopment analysis model with possibility of downsizing and two-stage network data envelopment analysis. In the proposed model, this paper also considers the situation in which shared inputs are jointly consumed in each stage. We also assume some outputs can be produced by the first and second stages by using separate inputs. The proposed model is illustrated in an empirical example of twenty sale representatives in two provinces of Golestan and Mazandaran. The results provide valuable information for the centralized decision-maker on how to reallocate resources among the units.
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In this paper, the common centralized DEA models are extended to the bi-level centralized resource allocation (CRA) models based on revenue efficiency. Based on the Karush–Kuhn–Tucker (KKT) conditions, the bi-level CRA model is reduced to a one-level mathema أکثر
In this paper, the common centralized DEA models are extended to the bi-level centralized resource allocation (CRA) models based on revenue efficiency. Based on the Karush–Kuhn–Tucker (KKT) conditions, the bi-level CRA model is reduced to a one-level mathematical program subject to complementarity constraints (MPCC). A recurrent neural network is developed for solving this one-level mathematical programming problem. Under a proper assumption and utilizing a suitable Lyapunov function, it is shown that the proposed neural network is Lyapunov stable and convergent to an exact optimal solution of the original problem. Finally, an illustrative example is elaborated to substantiate the applicability and effectiveness of the proposed approach.
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This paper investigates the centralized resource allocation with centralized structures by using the data envelopment analysis-ratio (DEA-R) models. To this end, it proposes a method to determine the resource allocation of centralized structures such that the ratio of i أکثر
This paper investigates the centralized resource allocation with centralized structures by using the data envelopment analysis-ratio (DEA-R) models. To this end, it proposes a method to determine the resource allocation of centralized structures such that the ratio of inputs to outputs are minimized.
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