The development and management of an effective and efficient supply chain involve the selection of the suppliers. Only economic criteria, including cost and delivery, once used to be considered in the process of supplier selection. But, they do not suffice for the evaluation of suppliers anymore due to the rapidly changing environment, and different perspectives are needed to be considered. The...

this paper proposes a method for ranking decision making units (dmus) using some of the multiple criteria decision making / multiple attribute decision making          (mcdm /madm) techniques, namely, interval analytic hierarchy process (iahp)          and the technique for order preference by similarity to an ideal solution (topsis).          since the efficiency score of unity is assigned to ...

Data Envelopment Analysis (DEA) is amethodology for evaluating the relative efficiencies of a set of decisionmaking units (DMUs). The original model is based on the assumption that in a multiple input, multiple output setting, all inputs impact all outputs. In many situations, however, this assumption may not apply, such as would be the case in manufacturing environments where some products may...

Data envelopment analysis (DEA), as originally proposed, is a methodology for evaluating the relative efficiencies of a set of homogeneous decision-making units (DMUs) in the sense that each uses the same input and output measures (in varying amounts from one DMU to another). In some situations, however, the assumption of homogeneity among DMUs may not apply. As an example, consider the case wh...

Ranked voting data arise when voters select and rank more than one candidate with an order of preference. Cook et al.[1] introduced data envelopment analysis (DEA) to analyze ranked voting data. Obata et al.[2] proposed a new method that did not use information obtained from inefficient candidates to discriminate efficient candidates. Liu et al.[3] ranked efficient DMUs on the DEA frontier with...

The traditional data envelopment analysis (DEA) literatures generally concentrated on the efficiency evaluation of single decision making unit (DMU). However, in many practical problems, the decision makers are required to choose a number of DMUs instead of a single one from the DMUs set. Therefore, it is necessary to study the combinatorial efficiency evaluation problem which can be illustrate...

Enterprises typically referred to as decision making units (DMUs) seldom operate in similar environments. Within a relative performance point of view, if DMUs operating in different environments are compared, the units that operate in less desirable environments are at a disadvantage. In order to ensure that the performance comparison is reasonable within an efficiency measurement approach, a t...

This paper proposes a method for ranking decision making units (DMUs) using some of the multiple criteria decision making / multiple attribute decision making          (MCDM /MADM) techniques, namely, interval analytic hierarchy process (IAHP)          and the technique for order preference by similarity to an ideal solution (TOPSIS).          Since the efficiency score of unity is assigned to ...

1 Department of Computer, Firoozkooh branch, Islamic Azad University, Firoozkooh, Iran 2 Department of Mathematics, Firoozkooh branch, Islamic Azad University, Firoozkooh, Iran Manaf Sharifzadeh1 and Shokrollah Ziari 2* Iranian Journal of Optimization Volume 8, Issue 2, 2016, 79-86 Research Paper Islamic Azad University Rasht Branch E-ISSN:2008-5427 Online version is available on: www.ijo.iaura...

This paper presents a research on ideal interaction techniques for augmented reality systems. They have been determined for two different settings. In the ‘lab setting’, the ideal technique should enable the user to work precisely with multiple virtual objects by using real objects, to input large amounts of different types of data. In the ‘action-outdoors setting’, the ideal technique should n...