• فهرست مقالات Two-stage Network

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        1 - رتبه‌بندی واحدهای کارا در شبکه دو مرحله‌ای تحلیل پوششی داده‌ها با روش وزن مشترک
        مهناز احدزاده نمین الهه خمسه
        مدل­های شبکه­ای دو مرحله­ای تحلیل پوششی داده (DEA)، ازجمله مدل­های پرکاربرد در بسیاری از رشته­های مدیریت و صنایع است. یکی از مفاهیمی که در تئوری تولید، نظر پژوهشگران را به خود جلب کرده است، مفهوم رتبه­بندی واحدها با شبکه دو مرحله­ای است. رتبه چکیده کامل
        مدل­های شبکه­ای دو مرحله­ای تحلیل پوششی داده (DEA)، ازجمله مدل­های پرکاربرد در بسیاری از رشته­های مدیریت و صنایع است. یکی از مفاهیمی که در تئوری تولید، نظر پژوهشگران را به خود جلب کرده است، مفهوم رتبه­بندی واحدها با شبکه دو مرحله­ای است. رتبه یک واحد می­تواند اطلاعات سودمندی در زمینه فعالیت­های بهینه واحدهای تصمیم­گیرنده (DMUs) در اختیار تصمیم­گیرنده (مدیر) قرار دهد. اینکه کدام واحد بر واحد دیگر اولویت دارد. این مفهوم ارجعیت یک واحد را از نظر کارایی و اثربخشی بر واحدهای دیگر مشخص می­کند. محاسبه کارایی واحدها درشبکه دو مرحله­ای DEA انجام شده است و اندازه کارایی واحد دو مرحله­ای می­تواند ملاک مناسبی برای رتبه­بندی یک واحد باشد. اما مشکل اصلی زمانی است که چند واحد کارا همگی رتبه یک را لحاظ می­کنند. هدف از این پژوهش، ارائه مدلی جهت رتبه­بندی واحدهای کارا با استفاده از روش وزن مشترک در شبکه دو مرحله­ای DEA است. پرونده مقاله
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        2 - The overall efficiency and projection point in network DEA
        Zeinab Aghababazadeh Shima Aghababazadeh
        Data Envelopment Analysis (DEA) is one of the best methods for measuring the efficiency and productivity of Decision Making Units (DMU). Evaluating the efficiency of DMUs which have two or several stages by using the conventional DEA models, is equal to consider them as چکیده کامل
        Data Envelopment Analysis (DEA) is one of the best methods for measuring the efficiency and productivity of Decision Making Units (DMU). Evaluating the efficiency of DMUs which have two or several stages by using the conventional DEA models, is equal to consider them as black box. This method, omits the effect of intermediate measure on efficiency. Therefore, just the first network inputs and the last network outputs will be effected on network efficiency. After solving each DEA model, in order to improving the DMUs efficiency, introduce one efficient market to evaluated DMU is so important. Conventional DEA network models cant ensures that the market of each evaluated is efficient .In this paper, by considering DMUs that have two stages network process, in order to find projection frontier point some models have been proposed. These models after finding the best intermediate product corresponded to each network, found the overall network efficiency and introduce one projection point for each DMU. پرونده مقاله
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        3 - Finding Common Weights in Two-Stage Network DEA
        Mohammad Reza Mozaffari mehrnoosh khazraei
        In data envelopment analysis (DEA), mul-tiplier and envelopment CCR models eval-uate the decision-making units (DMUs) under optimal conditions. Therefore, the best prices are allocated to the inputs and outputs. Thus, if a given DMU was not efficient under optimal condi چکیده کامل
        In data envelopment analysis (DEA), mul-tiplier and envelopment CCR models eval-uate the decision-making units (DMUs) under optimal conditions. Therefore, the best prices are allocated to the inputs and outputs. Thus, if a given DMU was not efficient under optimal conditions, it would not be considered efficient by any other models. In the current study, using common weights in DEA, a number of de-cision-making units are evaluated under the same conditions, and a number of two-stage network DEA models are proposed within the framework of multi-objective linear programming (MOLP) for finding common weights. Furthermore, using the infinity norm, common weight sets are de-termined in two-stage network models with MOLP structures. پرونده مقاله
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        4 - Input Estimation in Two-Stage Systems with Undesirable Outputs Based on Cost Efficiency
        Zahra Shiri Daryani Shabnam Razavyan
        In the Inverse Data Envelopment Analysis (InvDEA) models, inputs and outputs of Decision Making Units (DMUs) are estimated while their relative efficiency scores remain unchanged. But, in some cases, the inputs cost information is available. This paper uses the inputs c چکیده کامل
        In the Inverse Data Envelopment Analysis (InvDEA) models, inputs and outputs of Decision Making Units (DMUs) are estimated while their relative efficiency scores remain unchanged. But, in some cases, the inputs cost information is available. This paper uses the inputs cost information and generalized the InvDEA concept in two-stage network structures with undesirable output in the second stage. To this end, it proposes a four-stage method to deal with the InvDEA concept for estimating the inputs of the DMUs with a two-stage network structure method, while the allocative efficiency scores of all units remain stable. Eventually, an empirical example is presented to illustrate the capability of the presented method. پرونده مقاله
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        5 - Efficiency and Return to Scale of Two-Stage network in Data Envelopment Analysis Using Additive Model
        Mahboobeh Joghataie Farhad Hosseinzadeh lotfi ‪Tofigh Allahviranloo
        Data Envelopment Analysis is a nonparametric method based on the mathematical model. The concept of return to scale is one of the most important issues in economics and also in the data envelopment analysis, which includes a large part of the studies. Determining the ty چکیده کامل
        Data Envelopment Analysis is a nonparametric method based on the mathematical model. The concept of return to scale is one of the most important issues in economics and also in the data envelopment analysis, which includes a large part of the studies. Determining the type of return to scale (increasing, decreasing, and constant) will provide information to the manager through which he will be able to decide on how to achieve the optimal unit level under evaluation. Despite the fact that in the majority of the studies the concept of return to scale (RTS) has been investigated in radial models, this paper, in order to recognize the type of return to scale, has expressed and proved a method based on a non-radial additive model. We also developed this method for a two-stage network and in addition to inputs and outputs; we have introduced new entry intermediate measures in the intermediate products to the system. Then, we estimate and prove the type of return to scale for this network model. At the end, examples are given to examine the proposed method. پرونده مقاله
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        6 - Calculation of the Efficiency of Two-Stage Network Structures with Additional Inputs to the Second Stage by SBM Approach: A Case Study on Credit Branches of an Iranian State Bank in Guilan Province
        Saeed Jahangard Patavani Nasima Mahboubi
        Many studies have been conducted to determine the efficiency of two-stage network structures in the recent years. The two-stage network with additional inputs to the second stage, in which the second stage is independent of the first stage are one of these structures. T چکیده کامل
        Many studies have been conducted to determine the efficiency of two-stage network structures in the recent years. The two-stage network with additional inputs to the second stage, in which the second stage is independent of the first stage are one of these structures. Thus, there is a need for a model capable of calculating the efficiency of two-stage structures as well as efficiency of each stage which can then provide managers with recommendations to increase the efficiency of the entire system and its sub-processes. In this study, a non-cooperative game adapted from game theory and SBM approach is used to calculate the efficiency of a two-stage network structure to provide a unique analysis of the overall efficiency as the product of efficiency scores of the two stages. SBM approach is a non-radial DEA model capable of providing modification recommendations for inputs and outputs. The model then is implemented on 29 credit branches of an Iranian state bank in Guilan province and the results are analyzed. پرونده مقاله
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        7 - Classifying Flexible Measures in Two-Stage Network DEA
        S. N. Hosseini Monfared M. R. Mozaffari M. Rostamy Malkhalifeh
        In this paper we propose FNDEA models based on the multiplier model under constant returns to scale (CRS) and variable returns to scale (VRS) in general two-stage network structures to classify flexible measures, in which each one of the flexible measure is treated as e چکیده کامل
        In this paper we propose FNDEA models based on the multiplier model under constant returns to scale (CRS) and variable returns to scale (VRS) in general two-stage network structures to classify flexible measures, in which each one of the flexible measure is treated as either input or output to maximize the overall network efficiency of the DMU under evaluation. پرونده مقاله
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        8 - Performance assessment of Two-stage network structures with the presence of contextual variables
        Peiman Alidoust Zoghi Maryam Nematizadeh Maryeh Nematizadeh
        This research aims to evaluate the efficiency of a two-stage network structure by examining the impact of contextual variables on its performance. To accomplish this, a two-stage approach is implemented, which involves network data envelopment analysis (NDEA) in the fir چکیده کامل
        This research aims to evaluate the efficiency of a two-stage network structure by examining the impact of contextual variables on its performance. To accomplish this, a two-stage approach is implemented, which involves network data envelopment analysis (NDEA) in the first step and ordinary least squares (OLS) analysis in the second step. In the first step, a non-cooperative (Leader-Follower) model is employed to assess the efficiency of each sub-section within the two-stage process based on their inputs and outputs. In the second step, the logarithm of the estimated efficiency scores is regressed on the contextual variables to refine the network-specific efficiency. The performance of various Spanish airports is analyzed to demonstrate the effectiveness of this approach. پرونده مقاله
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        9 - Efficiency Measurement in Two-Stage Network Structures Considering Undesirable Outputs
        A. Amirteimoori A. Toloie-Eshlaghi M. Homayoonfar
        Since data envelopment analysis (DEA) introduced in 1970s, it has been widely applied to measure the efficiency of a wide variety of production and operation systems. Recently DEA has been extended to examine the efficiency of decision making units (DMUs) with two-stage چکیده کامل
        Since data envelopment analysis (DEA) introduced in 1970s, it has been widely applied to measure the efficiency of a wide variety of production and operation systems. Recently DEA has been extended to examine the efficiency of decision making units (DMUs) with two-stage network structures or processes, where the outputs from the first stage are intermediate measures that make up the inputs of the second stage. Many researchers developed several DEA based models for evaluating the efficiencies of such systems. This paper considers evaluation of the general two-stage network structures, while each stage may produce undesirable output, in addition to desirable ones. The developed model is applied to Green Hen poultry chain in Guilan province, Iran. پرونده مقاله
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        10 - A New Method of Sensitivity Analysis of Returns to Scale in Two-Stage Network; A Case Study of the Insurance Industry in Iran
        Maryam Sarparast Farhad Hosseinzadeh Lotfi Alireza Amirteimoori Mohsen Rostamy-Malkhalifeh
        One important issue in data envelopment analysis (DEA) which has been studied by many researchers is returns to scale (RTS). The authors developed DEA models to evaluate the efficiency of two-stage networks in returns to scale variable and introduced a new definition to چکیده کامل
        One important issue in data envelopment analysis (DEA) which has been studied by many researchers is returns to scale (RTS). The authors developed DEA models to evaluate the efficiency of two-stage networks in returns to scale variable and introduced a new definition to determine return to scale classification in two-stage networks. The current article proposed an approach for determining the stability region of returns to scale classification in two-stage network DEA. The data were collected from insurance companies in Iran in 2019. We consider the insurance industry process as a two-stage network; the stage of marketing and that of investment. The effectiveness of insurance companies was evaluated, and, after determining the classification of returns to scale, we found a sustainability interval to classify returns to their scale. پرونده مقاله
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        11 - Eco-Efficiency in two-stage structure;A DDF Approach
        منیره ذریه حبیب مهناز مقبولی
        The importance of environment protection always raises a considerable among the researchers especially when pollutant and undesirable outputs are present. The non-parametric Data Envelopment Analysis (DEA) literature on network-structured performance analysis normally f چکیده کامل
        The importance of environment protection always raises a considerable among the researchers especially when pollutant and undesirable outputs are present. The non-parametric Data Envelopment Analysis (DEA) literature on network-structured performance analysis normally fail to express the undesirable intermediate production in the process. From the production efficiency point of view, symmetrically handling both of the desirable and the undesirable outputs in the assessment process in the two stage network structure is developed in this paper. The motivation of this study is the application of the directional distance function (DDF) to modeling the two-stage network structure with the undesirable intermediate measures upon employing Stackelberg theory. A real case on the thirteen poultry units in Iran has been illustrated to verify the applicability of the proposed approach. پرونده مقاله