جستجوی مقالات مرتبط با کلیدواژه "cost efficiency" در نشریات گروه "صنایع"
تکرار جستجوی کلیدواژه «cost efficiency» در نشریات گروه «فنی و مهندسی»-
To evaluate the performance and estimate the efficiency of Decision-Making Units (DMUs) in Data Envelopment Analysis (DEA), the available data are used. These data are usually divided into two categories of inputs and outputs based on their natures. If the price data is also available for inputs, it is necessary to calculate another type of the efficiency called Cost Efficiency (CE). Since the efficiency of units in such a framework is depended on the both quantities of inputs and outputs and also the prices of inputs, it is important to find the sources of cost inefficiency related to each of the factors and plans to address them. In this paper, we intend to present a new decomposition of CE and observed cost versus optimal cost, which are raised from each of the factors involved in the cost inefficiency, in a non-competitive pricing environment which the input price vector for different DMUs can be different. Moreover, for the first time, in parallel with using the PPS based on input and output quantities and introducing some cost inefficiency factors related to this set, we will introduce new sets called price and cost production sets that the first is based on the prices of inputs and output factors, and the second is based on the optimal vectors of inputs and prices obtained from two previous PPS, and then we will introduce other factors of cost inefficiency in the sets. Accordingly, new decomposition for cost inefficiencies will be presented. Also, in the previous analyzes, congestion inefficiency has not been considered as one of the important factors in cost inefficiency. In this study, we also intend to consider the impact of this factor on CE.Keywords: Data Envelopment Analysis, Cost efficiency, Non-Competitive Environment, Cost PPS, Cost decomposition, Congestion
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In traditional cost-efficiency models, inputs and outputs, as well as input prices were known as constant values for each decision-making unit In our daily applications, however, market entry prices vary at different times. In other words, input prices for decision-making units (DMUs) are time dependent. Traditional methods cannot calculate the cost efficiency of DMUs with time-dependent prices. This paper proposes a new method to calculate the cost efficiency of DMUs in the presence of time-dependent prices. The proposed model is a parametric programming problem model depending on time. In the presented model, the inputs and outputs are functions in terms of time, which is not present in the models introduced by other researchers. New definitions for time-dependent cost efficiency have also been introduced. The cost efficiency of DMUs is measured over a given time and the units are ranked according to the time obtained. Finally, a numerical example has been presented to illustrate the proposed method.Keywords: Data Envelopment Analysis, Cost efficiency, Time Dependent prices, Ranking
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هدف
در این مقاله مدل های هزینه و درآمد برای ارزیابی پروژه های عمرانی راه و شهرسازی شهر شیراز با استفاده از تکنیک های DEA و DEA-R پیشنهاد می شود. امروزه در برخی از پروژه ها با داده های قابل کنترل و غیرقابل کنترل مواجه هستیم که در این مقاله مدل های کارایی هزینه و درآمد با شاخص های قابل کنترل و غیرقابل کنترل پیشنهادشده است.
روش شناسی پژوهشدر این پژوهش مدل کارایی هزینه و درآمد با شاخص های قابل کنترل و غیرقابل کنترل در DEA و DEA-R ارایه شده است، همچنین با سنجش کارایی هزینه و درآمد با شاخص های قابل کنترل و غیرقابل کنترل به مقایسه نتایج بین این دو مدل پرداخته شده است.
یافته هابا مقایسه نتایج میان مدل های کارایی هزینه و درآمد با شاخص های قابل کنترل و غیرقابل کنترل در DEA و DEA-R این نتیجه حاصل شد که امکان مقایسه منطقی بین آن ها وجود ندارد، اما مدل های پیشنهادی به منظور این که از نسبت های ورودی به خروجی استفاده می کنند می توانند حایز اهمیت باشد. در برخی از واحدهای تصمیم گیرنده ممکن است، رفتار مشابه ای در DEA و DEA-R وجود داشته باشد اما ملاکی برای مقایسه کلی نمی باشد.
اصالت/ارزش افزوده علمیدر این مقاله مدلی جهت سنجش کارایی هزینه و درآمد با شاخص های قابل کنترل و غیرقابل کنترل ارایه شد که می تواند مقدمه ای برای ارایه مدل های بیشتر برای سنجش کارایی هزینه و درآمد تحت شرایط واقعی باشد.
کلید واژگان: تحلیل پوششی داده ها, تحلیل پوششی داده های کسری, کارایی هزینه, کارایی درآمد, پروژهPurposeThis study was carried out to propose cost and revenue models for evaluating road and urban construction and development projects in Shiraz (Iran) using Data Envelopment Analysis (DEA) and DEA based ratio data, (DEA-R) techniques. Today, we are encountering controllable and uncontrollable data in some projects. In this research, cost and revenue efficiency models were proposed considering controllable and uncontrollable indicators.
MethodologyIn this research, cost and revenue efficiency model with controllable and uncontrollable indicators in DEA and DEA-R is presented, also by measuring cost and revenue efficiency with controllable and uncontrollable indicators to compare the results between these two models Been paid.
FindingsBy comparing the results between cost and revenue efficiency models with controllable and uncontrollable indicators in DEA and DEA-R, it was concluded that it is not possible to make a logical comparison between them. But the proposed models can be important in order to use the input to output ratios. In some decision-making units, similar behavior may be present in DEA and DEA-R, but it is not a criterion for general comparison.
Originality/ValueIn this paper, a model for measuring cost and revenue efficiency with controllable and uncontrollable indicators was presented, which can be an introduction to provide more models for measuring cost and revenue efficiency under real conditions.
Keywords: DEA, DEA-R, Cost efficiency, Revenue efficiency, project -
هدف
ارزیابی کارایی هزینه در یک سیستم شبکه با استفاده از مدل های تحلیل پوششی داده ها می تواند از جنبه های مختلفی که در برنامه های واقعی وجود دارد، بهبود یابد. در این مطالعه، هدف آن است که یک مجموعه خاص از وزن ها را برای ارزیابی کارایی هزینه در یک سیستم شبکه دو مرحله ای در نظر بگیریم.
روش شناسی پژوهشدر این پژوهش، با استفاده از روش تحلیل پوششی داده ها، سعی در ارایه مدلی برای ارزیابی هزینه سیستم شبکه است.
یافته هانتایج نشان داد که در نظر گرفتن روابط بین مراحل مختلف در یک سیستم شبکه می تواند مستقیما بر نتایج بدست آمده تاثیر بگذارد. این موضوع از ارزیابی بهینه سازی هزینه بررسی شده است. در نظر گرفتن مجموعه وزنه ها از جنبه های مختلف می تواند در امتیازات به دست آمده تاثیر بگذارد.
اصالت/ارزش افزوده علمیبا توجه به مدل ها و روش های موجود در ادبیات، در این مطالعه مدلی ارایه شده است که کارایی هزینه را در یک مدل دو مرحله ای در نظر می گیرد.
کلید واژگان: تحلیل پوششی داده ها, شبکه دومرحله ای, کارایی هزینهPurposeEvaluating the cost efficiency of a network system using Data Envelopment Analysis (DEA) models can be improved from various aspects that exist in real applications. In this study, the aim is to consider a specific set of weights to evaluate cost efficiency in a two-stage network system.
MethodologyIn this research, using data envelopment analysis method, an attempt is made to provide a model for evaluating the cost of the network system.
FindingsThe results showed that considering the relationships between different stages in a network system can directly affect the results. This issue has been investigated from cost optimization assessments. Considering the set of weights from different aspects can affect the scores obtained.
Originality/ValueAccording to the models and methods in the literature, in this study, a model is presented that considers cost efficiency in a two-stage model.
Keywords: Data Envelopment Analysis, Two-Step network, Cost efficiency -
The role of some factors such as efficiency, rule and regulations, and balance have been already investigated in the context of productivity analysis based on data envelopment analysis models. Along with the studies that take the role of cost factors into account, this paper presents a novel four-component decomposition of Malmquist productivity growth index from a financial point of view. The cost efficiency model applied here uses assurance region weight restrictions to increase discrimination power of basic data envelopment analysis models. In the proposed decomposition, the proportion of cost efficiency changes during two time periods is determined as a quantity measure between zero and one. A real case study from banking industry including 66 branches located in east Tehran is employed to show the applicability of the proposed methods and the results were been analyzed.
Keywords: Data Envelopment Analysis, Malmquist Index, cost efficiency, weight restrictions -
The formulas of cost and allocative efficiencies of decision making units (DMUs) with positive data cannot be used for DMUs with negative data. On the other hand, these formulas are needed to analyze the productivity and performance of DMUs with negative data. To this end, this study introduces the cost and allocative efficiencies of DMUs with negative data and demonstrates that the introduced cost efficiency is equal to the product of allocative and range directional measure efficiencies. The study then intends to extend the definition of the above efficiencies to DMUs with negative data and different unit costs. Finally, two numerical examples are given to illustrate the proposed methods. JEL classification: C6, D2
Keywords: DEA, Cost efficiency, Negative data, Allocative Efficiency, RDM
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