Farhad Hosseinzadeh Lotfi
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
[ 1 ] - Using lexicographic parametric programming for identifying efficient hyperpalnes in DEA
This paper investigates a procedure for identifying all efficient hyperplanes of production possibility set (PPS). This procedure is based on a method which recommended by Pekka J. Korhonen[8]. He offered using of lexicographic parametric programming method for recognizing all efficient units in data envelopment analysis (DEA). In this paper we can find efficient hyperplanes, via using the para...
[ 2 ] - Performance Evaluation of Banking Organizations Using the New Proposed Integrated DEA-BSC Model
Data envelopment analysis (DEA) is a nonparametric approach to estimate relative efficiency of Decision Making Units (DMUs). DEA is one of the best quantitative approaches and balanced scorecard (BSC) is one of the best qualitative methods to measure efficiency of an organization. Since simultaneous evaluation of network performance of the quad areas of BSC model is considered as a necessity an...
[ 3 ] - Optimizing Product Combination in Continuous Production Companies
The optimum use of the upstream resources, production corresponding to the market demands, and structural constraints for the optimum production with the less wastes during the most rapid time required by the market which finally result in the more profit for the shareholders are considered as the major objectives of this research. In this research, for the purpose of increasing the efficiency ...
[ 4 ] - Zero Weights in Weak Efficient and Inefficient Points with AHP
In this paper an approach in data envelopment analysis dealing with evaluation of non – zero slacks was propounded. This approach intends that weight of inefficient and weak efficient points that have been evaluated as zero weight, be considered as positive weight, and also in this approach, the pareto efficiency evaluates the picture of this point. In this approach positive weights in the i...
[ 5 ] - نقش واسط مهارت تفکر سطح بالای ریاضی در رابطه بین مهارت تفکر سطح پایین ریاضی در امور مالی و توانمندی کارکنان مالی مبتنی بر نظریه اصلاح شده بلوم
در این مقاله، اهمیت نقش میانجی مهارتهای تفکر سطح بالای ریاضی در مالی در رابطهی بین مهارت تفکر سطح پایین ریاضی در مالی و توانمندی کارکنان مالی، از دیدگاه کارکنان شاغل در بانکهای ایران بررسی شد. پس از مروری بر نقش مهارت تفکر ریاضی در امور مالی از دیدگاه صاحبنظران، نگرش کارکنان مرتبط مالی از طریق یک پرسشنامهی محقق ساخته، بررسی شد. روش پژوهش حاضر توصیفی- همبستگی میباشد. بهمنظور تحلیل آماری دا...
[ 6 ] - رتبه بندی و تحلیل حساسیت رتبه های واحدهای تصمیم گیرنده در تحلیل پوششی داده ها بر مبنای ابرصفحه ایده آل
There are many methods for ranking of DMUs. Some of the previous proposed methods may be infeasible and the others cannot rank all DMUs. In this paper,we introduce a new method for ranking of DMUs that is always feasible and can be usd all ranking of all DMUs. the rank of DMUs is acheived based on the ideal hyperplan. The sensitivity of the rank is presented as well. Therefore, in this study, a...
[ 7 ] - اعمال فاکتور تاثیر غیرمستقیم مرتبط با ورودیها و خروجیها، در ارزیابی عملکرد واحدهای تصمیمگیرنده
Data Envelopment Analysis (DEA) is a non-parametric method for estimation of production function. In DEA, each decision making unit (DMU) has a number of input and output and deals with performance evaluation of DMUs using frontier efficiency. Each one of the inputs and outputs plays a basic role in the performance evaluation of DMU which they can be named as direct impact factor. Inputs and ou...
[ 8 ] - Fuzzy Data Envelopment Analysis Approach for Ranking of Stocks with an Application to Tehran Stock Exchange
The main goal of this paper is to propose a new approach for efficiency measurement and ranking of stocks. Data envelopment analysis (DEA) is one of the popular and applicable techniques that can be used to reach this goal. However, there are always concerns about negative data and uncertainty in financial markets. Since the classical DEA models cannot deal with negative and imprecise values, i...
[ 9 ] - Evaluating the efficiency of bank branches with random data
Data Envelopment Analysis (DEA) is a mathematic technique to evaluate the relative efficiency of a group of homogeneous decision making units (DMUs) with multiple inputs and outputs. The efficiency of each unit is measured based on its distance to the production possibility set (PPS). In this paper, the BCC model is used in output-oriented. The average return on profit as output and the covaria...
[ 10 ] - Measuring Productivity Changes of Hospitals in Tehran: The Fuzzy Malmquist Productivity Index
Background and Objectives: The purpose of this paper is to suggest a novel method to measure the productivity changes of hospitals over time in the presence of linguistic variables along with fuzzy data. Methods: Applying the popular and applicable approaches including data envelopment analysis (DEA), Malmquist productivity index (MPI) and possibilistic progra...
[ 11 ] - Optimizing of an Integrated Production-Distribution System with Probabilistic Parameters in a Multi-Level Supply Chain Network Considering the Backorder
One of the main arguments in the supply chain is integrated production-distribution planning. Integrated production and distribution of products in a supply chain plays an important role in reducing the costs of the chain. In this paper, a mathematical model for the integrated production-distribution problem in a three-level supply chain, including manufacturing plants, distribution centers and...
[ 12 ] - Performance Evaluation of Banking Organizations Using the New Proposed Integrated DEA-BSC Model
Data envelopment analysis (DEA) is a nonparametric approach to estimate relative efficiency of Decision Making Units (DMUs). DEA is one of the best quantitative approaches and balanced scorecard (BSC) is one of the best qualitative methods to measure efficiency of an organization. Since simultaneous evaluation of network performance of the quad areas of BSC model is considered as a necessity an...
[ 13 ] - ارزیابی عملکرد سهام طی دوره های زمانی مختلف تحت شرایط عدم قطعیت: رویکرد تحلیل پوششی داده های پنجره ای فازی
هدف از پژوهش پیش رو، ارائه مدل تحلیل پوششی دادههای پنجرهای فازی با هدف ارزیابی عملکرد مالی سهام در خلال دورههای زمانی مختلف تحت عدم قطعیت دادهها میباشد. به عبارت دیگر در این تحقیق تلاش میشود تا یک رویکرد نوین ارزیابی عملکرد سهام با قابلیت پیاده سازی در حضور دادههای پانل غیر قطعی ارائه گردد. زیرا بهرهگیری از اطلاعات مربوط به چند دوره زمانی مختلف به جای یک دوره زمانی و هم چنین در نظر گرف...
[ 14 ] - Measuring the efficiency of a three-stage network using data envelopment analysis approach considering dual boundary
This paper presents a method for performance evaluation, ranking and clustering based on the double-frontier view to analyze the complex networks. The model allows us to open the structure of the “black box” and can help to obtain important information about efficient and inefficient points of the system. In this paper, we consider a three-stage network, in respect to the additional desirable a...
[ 15 ] - Benchmark Forecasting in Data Envelopment Analysis for Decision Making Units
Although DEA is a powerful method in evaluating DMUs, it does have some limitations. One of the limitations of this method is the result of the evaluation is based on previously data and the results are not proper for forecasting the future changes. So For this purpose, we design feedback loops for forecasting inputs and outputs through system dynamics and simulation. Then we use DEA model to f...
[ 16 ] - Practical benchmarking in DEA using artificial DMUs
Data envelopment analysis (DEA) is one of the most efficient tools for efficiency measurement which can be employed as a benchmarking method with multiple inputs and outputs. However, DEA does not provide any suggestions for improving efficient units, nor does it provide any benchmark or reference point for these efficient units. Impracticability of these benchmarks under environmental conditio...
[ 17 ] - An integrated data envelopment analysis–artificial neural network approach for benchmarking of bank branches
Efficiency and quality of services are crucial to today’s banking industries. The competition in this section has become increasingly intense, as a result of fast improvements in Technology. Therefore, performance analysis of the banking sectors attracts more attention these days. Even though data envelopment analysis (DEA) is a pioneer approach in the literature as of an efficiency measurement...
[ 18 ] - A mixed integer bi-level DEA model for bank branch performance evaluation by Stackelberg approach
One of the most complicated decision making problems for managers is the evaluation of bank performance, which involves various criteria. There are many studies about bank efficiency evaluation by network DEA in the literature review. These studies do not focus on multi-level network. Wu (Eur J Oper Res 207:856–864, 2010) proposed a bi-level structure for cost efficiency at the first time. In t...
[ 19 ] - A Proposed Combination Method for Ranking Options in Multi-Criteria Decision Making by Data Envelopment Analysis and Common Set of Weights
The purpose of this paper is to fully ranking decision-making units using a combination of multi-criteria decision-making techniques and data envelopment analysis. Due to this fact that weights play an important role in ranking the options by multi-criteria decision-making methods and most of these methods have weakness in using weighting methods, therefore the ability for data envelopment anal...
[ 20 ] - ارزیابی عملکرد شعب بانک با شاخصهای مالی با استفاده از تحلیل پوششی داده های نسبتی
بانک ها به عنوان اصلی ترین بخش سیستم مالی نقش مهی در توسعه اقتصادی هر کشور دارند. محاسبه کارایی و در نتیجه یافتن نقاط قوت و ضعف شعب، تاثیر بسزایی در افزایش بهره وری بانک ها دارد. تحلیل پوششی داده ها یکی از تکنیک های ارزیابی عملکرد می باشد که علاوه بر محاسبه کارایی نسبی قادر به معرفی نقاط الگو برای واحدهای تصمیم گیرنده ناکارا است. این تکنیک قادر به ارزیابی کارایی واحدهای تصمیم گیرنده با چندین ور...
[ 21 ] - Ranking of Fire Stations with Fibonacci Sequence Technique, Case Study: District Ten of Tehran Municipality
One of the effective items to reduce time for arriving fire fighters to place of event is determining the optimal location of fire stations. Ranking can define the best location of a fire station through the available options. The case of this study is the district ten of Tehran municipality. That is the smallest district of Tehran municipality in terms of size and is highest in terms of densit...
[ 22 ] - The Use of Data Envelopment Analysis in the Design of Internet Networks to Ensure the Quality of Service
Choosing a superior Internet network by users or providing a desirable Internet network by ISPs is always one of the important decision issues in this area. Choosing a unique optimal network from among the best networks is still a big challenge. The purpose of this paper is to use the data envelopment analysis (DEA) decision-making technique to evaluate the existing Internet networks in order t...
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