Financial Performance Evaluating with Grey Theory and Data Envelopment Analysis Technique Two Step approach (Case Study: Province Telecommunication Companies)
Volume 16, Issue 4, January 2013, Pages 189-205
Maysam Shafiee Roodposhti; Seyyd Habibollah Mirghafoori; Ghazaleh Naddafi
Abstract With the increasing pace of science and knowledge in today, s world, the company in order to comply with the condition environment variable to use communication technology and capital investment in this technology is growing rapidly. Performance evaluation is one of the main concerns for monitoring this agreement. Recently applied the theory of data envelopment analysis (DEA) and grey theory for performance evaluating has been highly regarded. Considering the importance of telecommunications as a leader in the field of communication technology and necessary to evaluate the performance of these two techniques have been used in this study. For this mining first set of criteria in evaluating the financial performance of telecommunication and the importance (weight) each was determined using the number of grey. Then, technique of using DEA model for evaluating and ranking the telecommunications companies were presented. The result indicates that the major telecommunication companies province in Markazi, Tehran and Khuzestan have the best financial performance.
Model the Assessment Strategic using techniques fuzzy analysis network process and fuzzy data envelopment analysis Based on a balanced scorecard approach
Volume 16, Issue 2, July 2012, Pages 180-200
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Abstract Managers in all organizations today called for optimum use of existing facilities and capacities in different sectors. So in order to provide feedback model to improve performance of various branches and agencies to achieve a tool to meet the needs of managers, and the essential logic seems. The purpose of this study provide a model compilation process fuzzy network analysis, balanced scorecard and fuzzy data envelopment analysis for performance evaluation of branch offices is Yazd Cooperative with the device can also identify efficient and inefficient branches, the appropriate strategies improve the performance of inefficient branches and more branches to strengthen whatever can be effectively developed. In this study of balanced scorecard model to extract parameters assessment, fuzzy analysis network process techniques to estimate fuzzy relative importance of each indicator under a single perspective and of fuzzy data envelopment analysis techniques to evaluate the performance of branches has been used. financial Perspective as the most important, and the Yazd and ardakan Branches were identified Assessment as the efficient performance of the branches.
Designing a Model for Measuring the Leanness Degree Using EFQM Model and MADM Techniques
Volume 14, Issue 4, March 2011, Pages 205-232
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Abstract In today’s markets, production systems must satisfy simultaneously productivity, quality, and cost requirements. In these systems managers should focus on managing the flow of production through all the steps that add value to the final product. Lean production as an efficient approach has been presented in the literature of production management for increasing the level of products' quality and decreasing the cost of production. Although this approach is introduced and studied in many of works, but there are still some challenges in applying it. It means that there is not a comprehensive model for assessing and analyzing the lean production in manufacturing firms. This paper tries to present a model that is able to accurately analyze and measure the leanness degree of firms. At first step a hierarchical model for measuring the degree of leanness has been designed. The proposed model applied at the Yazd Tile and Ceramic Industries and the degree of leanness of these industries was measured. Finally, some suggestions for improving the degree of leanness in these industries have been presented.