Abstract In order to ensure sustainable activities, companies independent upon working with defrent supplier's .In the manufacturing industries, raw material and assembly parts main comprise as much as 70 percent of production cost. For that, a purchasing department can play a vital role in reducing costs, and a purchasing manager's skill in performing his/her responsibility of choosing proper suppliers can greatly contribute to achieving that goal. This article focuses on the above-mentioned subject due to the importance of supplier choice for companies. Since the first times in history when the need for choosing proper suppliers was felt, many different methods and strategies have been utilized for such a task. Because of nature of that challenge, decision makers are faced with more than one criteria and high number of such criteria makes the challenge even more complex for them. Multi-criteria decision making has frequently been one of the approaches used by decision makers in the evaluation and selection of suppliers. In the research of this thesis a model of fuzzy multi-criteria and non-additive fuzzy integral has been presented for the supplier selection. The advantage of this model is that with the aid of Fuzzy Analytic Network Process the effects of the criteria on each other can be analyzed and with the fuzzy measure and fuzzy integral methods these interdependent relation between effects can be eliminated.

Abstract Identifying Inefficient Bank Branches Using DEA and Use of Integrated Strategies in Order to Increase Performance Branches Naser Hamidi1, Reza Akbari Shemirani2, Safar Fazli3 1. Assistant Professor, Department of Managemen and Accounting, Islamic Azad University Qazvin Branch, Qazvin, Iran 2. M. A , Department of Managemen and Accounting , Islamic Azad University Qazvin Branch, Qazvin, Iran 3. Assistant Professor, Department of Social Sciences, Imam Khomeini International University, Qazvin, Iran Received: 27 /10/2010 Accept: 9/3/2011 Among the various economic and financial organizations, banks are considered and discussed as one of the most important pillars of any economic system. Therefore, considering the important role of banks in the developed countries and their multiple branches, bank branch performance measurement is important. The main purpose of this work is measure branch performance and the use of integration strategy to obtain efficient branches. Accordingly, first the efficiency of bank branches conceptual system was defined. Then using the action plan were inputs and outputs determined. In the next stage, Tehran province branch efficiency was calculated through Data Envelopment Analysis model as non-radial (SBM) to determine the inefficient branches. Based on the bank merger policy, the clusters were determined and the branches in each cluster were merged in a binary form. The final stage of the integration of non-radial (SBM) to assess the performance of branches and compare it with their initial performance.