Mohsen Rostamy-Malkhalifeh

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In this paper, by improving the Golany and Yu s method [Estimating returns to scale in DEA, European Journal of Operational Research 103 (1) (1997) 28–37], a new algorithm to estimate returns-to-scale (RTS) in data envelopment analysis (DEA) models is proposed. We show that the proposed algorithm overcomes existing disadvantages in the Golany and Yu s(More)
Supplier selection, the process of finding the right suppliers who are able to provide the buyer with the right quality products and/or services at the right price, at the right time and in the right quantities, is one of the most critical activities for establishing an effective supply chain, and is typically a multi-criteria group decision problem. In(More)
In the course of improving various abilities of data envelopment analysis (DEA) models, many investigations have been carried out for ranking decision-making units (DMUs). This is an important issue both in theory and practice. There exist a variety of papers which apply different ranking methods to a real data set. Here the ranking methods are divided into(More)
A B S T R A C T Data Envelopment Analysis (DEA) is a non-parametric technique for evaluating the efficiency of Decision Making Units (DMUs) with multiple inputs and outputs. Evaluating performance supply chain is one of the uses of DEA. But hence, the traditional DEA models treat with each DMU as a " black box " , thus, the performance measurement may be(More)
There are a number of methods for ranking decision making units (DMUs), among which calculating super efficiency and then ranking the units based on the obtained amount of super efficiency are both valid and efficient. Since most of the proposed models do not provide the projection of Pareto efficiency, a model is developed and presented through this paper(More)
This study introduces a revised data envelopment analysis (DEA) model to explore a new use of DEA for the environmental assessment in which outputs are classified into desirable (good) and undesirable (bad). Such an output separation is important in the DEA-based environmental assessment. We used a Range-Adjusted Measure (RAM) DEA model that is a kind of(More)
This article reviews the estimation of Returns To Scale (RTS) in Data envelopment analysis (DEA), presented by Golany and Yu and proposes a new method to do this estimation. we show that the new method does not have the shortcoming of the previous one. Furthermore, it is able to evaluate Returns To Scale (RTS) to the right and left of the given unit in all(More)