Serial network DEA models with a single intermediate measure

2020 ◽  
pp. 1-6
Author(s):  
Weiwei Zhu ◽  
ZiYang Miao ◽  
Xujin Pu
Keyword(s):  
Network Dea ◽  
Dea Models ◽  
Intermediate Measure

Stochastic network DEA models for two-stage systems under the centralized control organization mechanism

2017 ◽  
Vol 110 ◽  
pp. 404-412 ◽  
Author(s):  
Zhongbao Zhou ◽  
Ling Lin ◽  
Helu Xiao ◽  
Chaoqun Ma ◽  
Shijian Wu
Keyword(s):  
Stochastic Network ◽  
Centralized Control ◽  
Two Stage ◽  
Network Dea ◽  
Dea Models ◽  
Organization Mechanism

scholarly journals A Review of Data Envelopment Analysis in Airline Efficiency: State of the Art and Prospects

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Qiang Cui ◽  
Li-Ting Yu
Keyword(s):  
Data Envelopment Analysis ◽  
Rapid Development ◽  
Aviation Industry ◽  
Future Research ◽  
Data Envelopment ◽  
Social Concern ◽  
Network Dea ◽  
Advantages And Disadvantages ◽  
Dea Models ◽  
Future Research Directions

The rapid development of the aviation industry has brought about the deterioration of the climate, which makes airline efficiency become a hot issue of social concern. As an important nonparametric method, Data Envelopment Analysis (DEA), has been widely applied in efficiency evaluation. This paper examines 130 papers published in the period of 1993–2020 to summarize the literature involving the special application of DEA models in airline efficiency. The paper begins with an overall review of the existing literature, and then the radial DEA, nonradial DEA, network DEA, dynamic DEA, and DEA models with undesirable outputs applied in airline efficiency are introduced. The main advantages and disadvantages of the above models are summarized, and the drivers of airline efficiency are analyzed. Finally, the literature review ends up with future research directions and conclusions.

Network DEA models for assessing urban water utility efficiency

2019 ◽  
Vol 57 ◽  
pp. 48-58 ◽  
Author(s):  
Dickson K. Gidion ◽  
Jin Hong ◽  
Magdalene Z.A. Adams ◽  
Mohammad Khoveyni
Keyword(s):  
Urban Water ◽  
Network Dea ◽  
Water Utility ◽  
Dea Models

scholarly journals Network DEA based on DEA-ratio

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Dariush Akbarian
Keyword(s):  
Insurance Companies ◽  
Data Envelopment ◽  
Validity And Reliability ◽  
Two Stage ◽  
Network Dea ◽  
Black Boxes ◽  
Internal Structures ◽  
Dea Models ◽  
Tchebycheff Norm ◽  
Special Case

AbstractData envelopment analysis (DEA) is a technique to measure the performance of decision-making units (DMUs). Conventional DEA treats DMUs as black boxes and the internal structure of DMUs is ignored. Two-stage DEA models are special case network DEA models that explore the internal structures of DMUs. Most often, one output cannot be produced by certain input data and/or the data may be expressed as ratio output/input. In these cases, traditional two-stage DEA models can no longer be used. To deal with these situations, we applied DEA-Ratio (DEA-R) to evaluate two-stage DMUs instead of traditional DEA. To this end, we developed two novel DEA-R models, namely, range directional DEA-R (RDD-R) and (weighted) Tchebycheff norm DEA-R (TND-R). The validity and reliability of our proposed approaches are shown by some examples. The Taiwanese non-life insurance companies are revisited using these proposed approaches and the results from the proposed methods are compared with those from some other methods.

scholarly journals Hybrid Dynamic Network Data Envelopment Analysis

2015 ◽  
Vol 2015 ◽  
pp. 1-8
Author(s):  
Ling Li ◽  
Fengshan Wang
Keyword(s):  
Network Structure ◽  
Dynamic Assessment ◽  
Dynamic Change ◽  
Dynamic Network ◽  
Black Box ◽  
Data Envelopment ◽  
Network Dea ◽  
Time Period ◽  
Dea Models ◽  
Internal Operations

Conventional DEA models make no hypothesis concerning the internal operations in a static situation. To open the “black box” and work with dynamic assessment issues synchronously, we put forward a hybrid model for evaluating the relative efficiencies of a set of DMUs over an observed time period with a composite of network DEA and dynamic DEA. We vertically deal with intermediate products between divisions with assignable inputs in the network structure and, horizontally, we extend network structure by means of a dynamic pattern with unrelated activities between two succeeding periods. The hybrid dynamic network DEA model proposed in this paper enables us to (i) pry into the internal operations of DEA by another network structure, (ii) obtain dynamic change of period efficiency, and (iii) gain the overall dynamic efficiency of DMUs over the entire observed periods. We finally illustrate the calculation procedure of the proposed approach by a numerical example.

scholarly journals Incorporation of Inefficiency Associated with Link Flows in Efficiency Measurement in Network DEA

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Abolghasem Shamsijamkhaneh ◽  
Seyed Mohammad Hadjimolana ◽  
Bijan Rahmani Parchicolaie ◽  
Farhad Hosseinzadehlotfi
Keyword(s):  
Dual Role ◽  
Programming Approach ◽  
Data Envelopment ◽  
Network Dea ◽  
New Approach ◽  
Internal Structures ◽  
Dea Models ◽  
Mathematical Programming Approach ◽  
Decision Making Units

Data Envelopment Analysis (DEA) is a mathematical programming approach to measure the relative efficiency of peer decision making units (DMUs) which use multiple inputs to produce multiple outputs. One of the drawbacks of traditional DEA models is the neglect of internal structures of the DMUs. Network DEA models are able to overcome the shortcoming of the traditional DEA models. In network DEA a DMU is made up of some divisions linked together by intermediate products. An intermediate product has the dual role of output from one division and input to another one. Improving the efficiency of one process may reduce the efficiency of another process. To address the conflict caused by the dual role of intermediate measures, this paper presents a new approach which categorizes the intermediate measures into either input or output type endogenously, while keeping the continuity of link flows between divisions. This categorization allows us to measure the inefficiencies associated with intermediate measures and account their indirect effects on the objective function. In this paper we propose a new Slacks-based measure which includes any nonzero slacks identified by the model and inherits the properties of monotonicity in slacks and units invariance from the conventional SBM approach.

The uncertain two-stage network DEA models

2020 ◽  
Author(s):  
Bao Jiang ◽  
Hao Chen ◽  
Jian Li ◽  
Waichon Lio
Keyword(s):  
Two Stage ◽  
Network Dea ◽  
Dea Models

scholarly journals Benchmarking with network dea in a fuzzy environment

2019 ◽  
Vol 53 (2) ◽  
pp. 687-703 ◽  
Author(s):  
Adel Hatami-Marbini
Keyword(s):  
Classification Scheme ◽  
Data Envelopment ◽  
Network Dea ◽  
Performance Benchmarking ◽  
Fuzzy Environment ◽  
Dea Models ◽  
Banking Education ◽  
Business Engineering ◽  
Fuzzy Network

Benchmarking is a powerful and thriving tool to enhance the performance and profitabilities of organizations in business engineering. Though performance benchmarking has been practically and theoretically developed in distinct fields such as banking, education, health, and so on, benchmarking of supply chains with multiple echelons that include certain characteristics such as intermediate measure differs from other practices. In spite of incremental benchmarking activities in practice, there is the dearth of a unified and effective guideline for benchmarking in organizations. Amongst the benchmarking tools, data envelopment analysis (DEA) as a non-parametric technique has been widely used to measure the relative efficiency of firms. However, the conventional DEA models that are bearing out precise input and output data turn out to be incapable of dealing with uncertainty, particularly when the gathered data encompasses natural language expressions and human judgements. In this paper, we present an imprecise network benchmarking for the purpose of reflecting the human judgments with the fuzzy values rather than precise numbers. In doing so, we propose the fuzzy network DEA models to compute the overall system scale and technical efficiency of those organizations whose internal structure is known. A classification scheme is presented based upon their fuzzy efficiencies with the aim of classifying the organizations. We finally provide a case study of the airport and travel sector to elucidate the details of the proposed method in this study.

scholarly journals A Network-Based Data Envelope Analysis Model in a Dynamic Balanced Score Card

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Mojtaba Akbarian ◽  
Esmaeil Najafi ◽  
Reza Tavakkoli-Moghaddam ◽  
Farhad Hosseinzadeh-Lotfi
Keyword(s):  
Oil Refining ◽  
Balanced Score Card ◽  
Data Envelopment ◽  
Analysis Model ◽  
Network Dea ◽  
Top Managers ◽  
Score Card ◽  
Dea Models ◽  
Distribution Company ◽  
Strategic Goals

Performance assessment during the time and along with strategies is the most important requirements of top managers. To assess the performance, a balanced score card (BSC) along with strategic goals and a data envelopment analysis (DEA) are used as powerful qualitative and quantitative tools, respectively. By integrating these two models, their strengths are used and their weaknesses are removed. In this paper, an integrated framework of the BSC and DEA models is proposed for measuring the efficiency during the time and along with strategies based on the time delay of the lag key performance indicators (KPIs) of the BSC model. The causal relationships during the time among perspectives of the BSC model are drawn as dynamic BSC at first. Then, after identifying the network-DEA structure, a new objective function for measuring the efficiency of nine subsidiary refineries of the National Iranian Oil Refining and Distribution Company (NIORDC) during the time and along with strategies is developed.

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