scholarly journals Quantifying Electricity Supply Resilience of Countries with Robust Efficiency Analysis

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1535 ◽  
Author(s):  
Patrick Gasser ◽  
Marco Cinelli ◽  
Anna Labijak ◽  
Matteo Spada ◽  
Peter Burgherr ◽  
...  
Keyword(s):  
Robustness Analysis ◽  
Energy Systems ◽  
Efficiency Analysis ◽  
Electricity Supply ◽  
Data Envelopment ◽  
Hybrid Framework ◽  
Dea Models ◽  
Overall Performance ◽  
Electricity Systems ◽  
Ccr Model

The interest in studying energy systems’ resilience is increasing due to a rising awareness of the importance of having a secure energy supply. This growing trend is a result of a series of recent disruptions, among others also affecting electricity systems. Therefore, it is of crucial importance for policymakers to determine whether their country has a resilient electricity supply. Starting from a set of 12 indicators, this paper uses data envelopment analysis (DEA) to comprehensively evaluate the electricity supply resilience of 140 countries worldwide. Two DEA models are applied: (1) the original ratio-based Charnes, Cooper, and Rhodes (CCR) model and (2) a novel hybrid framework for robust efficiency analysis incorporating linear programming and Monte Carlo simulations. Results show that the CCR model deems 31 countries as efficient and hence lacks the capability to differentiate them. Furthermore, the CCR model considers only the best weight vectors for each country, which are not necessarily representative of the overall performance of the countries. The robustness analysis explores these limitations and identifies South Korea, Singapore and Canada as the most resilient countries. Finally, country analyses are conducted, where Singapore’s and Japan’s performances and improvement potentials are discussed.

scholarly journals Data envelopment analysis in measuring the efficiency of volleyball teams in Primorsko-Goranska County

2020 ◽  
Vol 8 (1) ◽  
pp. 121-134
Author(s):  
Jelena Jardas Antonić ◽  
Kristina Kregar ◽  
Nenad Vretenar
Keyword(s):  
Data Envelopment Analysis ◽  
Efficiency Analysis ◽  
Efficiency Score ◽  
Financial Resources ◽  
Data Envelopment ◽  
Financial Factors ◽  
Measuring Efficiency ◽  
Dea Models ◽  
Sport Organisation ◽  
Ccr Model

Every sport organisation strives to evaluate its performance: its weaknesses and strengths. Measuring efficiency and sports are two interrelated concepts and it is not surprising that most of the research on sports is focused on analysing the efficiency of teams according to player techniques, attack and defence efficiency. However, there are very few studies based on the analysis of financial factors such as teams’ revenue and costs. In this paper two Data Envelopment Analysis (DEA) models were used to evaluate 16 young cadet volleyball teams in Primorsko-Goranska County based on two economic inputs. The paper aims to explain the importance of teams’ financial resources in achieving sports efficiency. To analyse the relative efficiency of teams, two frequently used models are employed, the Banker Charnes Cooper (BCC) and the Charnes Cooper Rhodes (CCR) model. In the end, a super efficiency analysis was conducted to make a distinction in efficiency scores between efficient units. Analyses showed that financial factors are not crucial factors for efficiency score and gave possibility to use obtained results and improve the performance of inefficient volleyball teams. The study was conducted on a sample of 16 teams through 4 inputs and 1 output collected during 2017/2018 season.

scholarly journals Process Efficiency Analysis of Selected Automotive Companies in Europe

2020 ◽  
Vol 22 (4) ◽  
pp. 20-27
Author(s):  
Kveta Papouskova ◽  
Martin Telecky ◽  
Jiri Cejka
Keyword(s):  
Automotive Industry ◽  
Industry 4.0 ◽  
Production Efficiency ◽  
Efficiency Analysis ◽  
Process Efficiency ◽  
Data Envelopment ◽  
The Czech Republic ◽  
Model Based ◽  
Considerable Impact ◽  
Ccr Model

The automotive industry has lately been undergoing major changes having a considerable impact on the whole vehicle sector. This does not only refer to what is technologically new on vehicles themselves, but also to the new modern management methods, frequently associated with the Industry 4.0 concept. As well as other companies, car factories are pushing their costs downwards to increase their production efficiency. This paper analyses the economic situation of 5 car manufacturers, two of which having their factories in the Czech Republic and three in Germany. The task was to ascertain efficiency of individual companies in order to propose possible improvements. To do this, the Data Envelopment Analysis (DEA) for two models (CCR - model based on Charnes, Cooper & Rhodes and BCC - model based on Banker, Charnes & Cooper) was used. The BCC model was found to be more applicable to the established efficiencies, than the CCR one.

scholarly journals EFFICIENCY ANALYSIS OF THE BULGARIAN FORESTRY AND FOREST-BASED INDUSTRY: A DEA APPROACH

2019 ◽  
Vol 7 ◽  
Author(s):  
Nikolay Neykov ◽  
Emil Kitchoukov ◽  
Petar Antov ◽  
Viktor Savov
Keyword(s):  
Economic Efficiency ◽  
Efficiency Analysis ◽  
Economic Research ◽  
Data Envelopment ◽  
Economic Sectors ◽  
Relevant Issue ◽  
Current State ◽  
Small Countries ◽  
Dea Models ◽  
The Eu

The economic efficiency of forestry has long been a leading issue in the sector's economic research. The wide variety of policies, goals and models in forest management makes researching the factors of economic efficiency a constantly relevant issue. Since 1978 Data Envelopment Models have provided a comprehensive approach without following the particular assumptions for production function of forests. Data Envelopment Analysis (DEA) models are quite suitable to estimate the efficiency and determine the weaknesses of forests and forest-based industries with their current state and structural weaknesses. The current study estimates the relative efficiency of the Bulgarian forestry and forest-based industries comparing it to those in the EU. The methodology applied provides a specific approach for classifying the countries by the share of their sectoral GVA in comparison to the overall country GVA. The results confirm that the Bulgarian forestry and forest-based industries are efficient compared to most EU countries. The paper develops further the results that the efficiency varies based on the share of forestry and of forest-based industries in the country GVA. The results reveal that in countries where forestry is better involved than forest based industries, the efficiencies are higher. The study also suggests solutions for problems of small countries like Bulgaria in order to achieve better efficiency of their respective economic sectors.

Double Frontier Two-Stage Fuzzy Data Envelopment Analysis

2020 ◽  
Vol 28 (01) ◽  
pp. 117-152 ◽  
Author(s):  
Alireza Amirteimoori ◽  
Hossein Azizi ◽  
Sohrab Kordrostami
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Efficiency Analysis ◽  
Programming Approach ◽  
Data Envelopment ◽  
Fuzzy Data ◽  
Insurance Company ◽  
Two Stage ◽  
Dea Models ◽  
Fuzzy Dea

Data envelopment analysis (DEA) is a mathematical programming approach with widespread applications in productivity and efficiency analysis. Compared with traditional DEA models, two-stage DEA models show the performance of each process and make available more information for decision making. In an article by Kao and Liu, models were proposed for combining a two-stage process to achieve overall fuzzy efficiency measures. Their method follows the simple geometric average approach and uses the product of two efficiencies. The present article applies a different angle for efficiency analysis in the two-stage fuzzy DEA. We suggest that the overall efficiency score of a decision-making unit (DMU) is defined as total weight of stage efficiencies, not as the simple product of their efficiency. Moreover, the proposed fuzzy DEA models are different from the model by Kao and Liu for fuzzy data in that our models are linear without the need for additional changes in variables and use the same set of constraints to measure the efficiency of DMUs with fuzzy input and output data. While the models by Kao and Liu are a nonlinear optimization problem that need additional changes in variables, and use different sets of constraints to measure fuzzy efficiencies. Additionally, our proposed approach evaluates the performance of DMUs from both optimistic and pessimistic viewpoints. Finally, using the proposed approach, the Taiwanese non-life insurance company problem will be investigated.

scholarly journals Economic Viability and Environmental Efficiency Analysis of Hydrogen Production Processes for the Decarbonization of Energy Systems

Processes ◽  
2019 ◽  
Vol 7 (8) ◽  
pp. 494 ◽  
Author(s):  
Xu ◽  
Wang ◽  
Shah ◽  
Zameer ◽  
Solangi ◽  
...  
Keyword(s):  
Hydrogen Production ◽  
Analytical Hierarchy Process ◽  
Energy Systems ◽  
Biomass Gasification ◽  
Efficiency Analysis ◽  
Economic Viability ◽  
Data Envelopment ◽  
Fuzzy Analytical Hierarchy Process ◽  
Production Processes ◽  
Hierarchy Process

The widespread penetration of hydrogen in mainstream energy systems requires hydrogen production processes to be economically competent and environmentally efficient. Hydrogen, if produced efficiently, can play a pivotal role in decarbonizing the global energy systems. Therefore, this study develops a framework which evaluates hydrogen production processes and quantifies deficiencies for improvement. The framework integrates slack-based data envelopment analysis (DEA), with fuzzy analytical hierarchy process (FAHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS). The proposed framework is applied to prioritize the most efficient and sustainable hydrogen production in Pakistan. Eleven hydrogen production alternatives were analyzed under five criteria, including capital cost, feedstock cost, O&M cost, hydrogen production, and CO2 emission. FAHP obtained the initial weights of criteria while FTOPSIS determined the ultimate weights of criteria for each alternative. Finally, slack-based DEA computed the efficiency of alternatives. Among the 11, three alternatives (wind electrolysis, PV electrolysis, and biomass gasification) were found to be fully efficient and therefore can be considered as sustainable options for hydrogen production in Pakistan. The rest of the eight alternatives achieved poor efficiency scores and thus are not recommended.

scholarly journals The Theoretical Relationship between the CCR Model and the Two-Stage DEA Model with an Application in the Efficiency Analysis of the Financial Industry

Symmetry ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 712
Author(s):  
Ming-Chi Tsai ◽  
Ching-Hsue Cheng ◽  
Van Trung Nguyen ◽  
Meei-Ing Tsai
Keyword(s):  
Insurance Companies ◽  
Data Envelopment ◽  
Financial Industry ◽  
Two Stage ◽  
Theoretical Relationship ◽  
Dea Model ◽  
Bank Branches ◽  
Dea Models ◽  
The Relationship ◽  
Ccr Model

Since Charnes, Cooper, and Rhodes introduced data envelopment analysis (DEA) in 1978, later called the DEA-CCR model, many studies applied this technique to different fields. Based on the original CCR model, many modified DEA models were developed by researchers. Since 1999, Seiford and Zhu presented a two-stage DEA model. Later, these models were widely used in many studies. However, the relationship between the efficiency scores that are obtained from the original CCR model and the two-stage DEA model remains unknown. To fill this gap, this study proposed a theoretical relationship between the efficiency scores that are calculated from the two-stage DEA model and those that are obtained from the original CCR model. How the sets of nonsymmetrical weights affected the efficiency scores were also investigated. Theorems regarding the relationship were developed, and then the model was utilized to evaluate the two-stage efficiency scores of the insurance companies (non-life) and bank branches. The results show that using a two-stage DEA model can get more information about operational efficiency than the traditional CCR model does. The findings from this study about the two-stage DEA technique can provide significant reasons for using this model to evaluate performance efficiency.

Performance Evaluation of Vietnamese Apparel Enterprises: An Application of DEA Approach

2021 ◽  
Vol 18 ◽  
pp. 1-9
Author(s):  
Tran Van Trang ◽  
Quang Hung Do ◽  
Minh Huan Luong
Keyword(s):  
Performance Evaluation ◽  
Cost Management ◽  
Apparel Industry ◽  
Labor Cost ◽  
Efficiency Analysis ◽  
Main Role ◽  
Dea Efficiency ◽  
Overall Performance ◽  
Dea Approach ◽  
National Industry

A continued robust growth of Vietnamese apparel enterprises has showed that they do notplay the auxiliary but the main role in the national industry. However, in general, the apparel industryin Vietnam has not met the practical requirements. In order to provide overall performance evaluationand how to achieve efficiency systematically, this study utilizes DEA approach to determine theperformance levels of 15 Vietnamese apparel industry enterprises and assess their efficiency.Specifically, we have applied output oriented model, which aims to maximize outputs while the inputsproportions remain unchanged to realize DEA efficiency analysis. CCR-based and BCC-based modelsare utilized to get overall technical and pure technical efficiencies. The findings show that havingbusiness transactions with foreign partners, good labor cost management and effective inventorymanagement are the most prominent factors in distinguishing between efficient and inefficiententerprises in Vietnam's apparel industry. The study may be a useful tool for managers to improvetheir performances and effectively allocate resources.

scholarly journals Long-Term Economic Sustainability of Humanitarian Logistics—A Multi-Level and Time-Series Data Envelopment Analysis

2021 ◽  
Vol 18 (5) ◽  
pp. 2219
Author(s):  
Matthias Klumpp ◽  
Dominic Loske
Keyword(s):  
Data Envelopment Analysis ◽  
Time Series Data ◽  
Malmquist Index ◽  
Developed Countries ◽  
Efficiency Analysis ◽  
Humanitarian Logistics ◽  
Series Data ◽  
Data Envelopment ◽  
Least Developed Countries ◽  
Window Analysis

Although resources are scarce and outputs incorporate the potential to save human lives, efficiency measurement endeavors with data envelopment analysis (DEA) methods are not yet commonplace in the research and practice of non-government organizations (NGO) and states involved in humanitarian logistics. We present a boot-strapped DEA window analysis and Malmquist index application as a methodological state of the art for a multi-input and multi-output efficiency analysis and discuss specific adaptions to typical core challenges in humanitarian logistics. A characteristic feature of humanitarian operations is the fact that a multitude of organizations are involved on at least two levels, national and supra-national, as well as in two sectors, private NGO and government agencies. This is modeled and implemented in an international empirical analysis: First, a comprehensive dataset from the 34 least developed countries in Africa from 2002 to 2015 is applied for the first time in such a DEA Malmquist index efficiency analysis setting regarding the national state actor level. Second, an analysis of different sections in a Rohingya refugee camp in Bangladesh is analyzed based on a bootstrapped DEA with window analysis application for 2017, 2018, and 2019 quarter data regarding the private NGO level of operations in humanitarian logistics.

Measuring Performance of a Three-Stage Network Structure Using Data Envelopment Analysis and Nash Bargaining Game: A Supply Chain Application

2018 ◽  
Vol 17 (05) ◽  
pp. 1429-1467 ◽  
Author(s):  
Mohammad Amirkhan ◽  
Hosein Didehkhani ◽  
Kaveh Khalili-Damghani ◽  
Ashkan Hafezalkotob
Keyword(s):  
Supply Chain ◽  
Data Envelopment Analysis ◽  
Nash Bargaining ◽  
Data Envelopment ◽  
Second Stage ◽  
Proposed Model ◽  
Nash Bargaining Game ◽  
Dea Models ◽  
Overall Efficiency

The issue of efficiency analysis of network and multi-stage systems, as one of the most interesting fields in data envelopment analysis (DEA), has attracted much attention in recent years. A pure serial three-stage (PSTS) process is a specific kind of network in which all the outputs of the first stage are used as the only inputs in the second stage and in addition, all the outputs of the second stage are applied as the only inputs in the third stage. In this paper, a new three-stage DEA model is developed using the concept of three-player Nash bargaining game for PSTS processes. In this model, all of the stages cooperate together to improve the overall efficiency of main decision-making unit (DMU). In contrast to the centralized DEA models, the proposed model of this study provides a unique and fair decomposition of the overall efficiency among all three stages and eliminates probable confusion of centralized models for decomposing the overall efficiency score. Some theoretical aspects of proposed model, including convexity and compactness of feasible region, are discussed. Since the proposed bargaining model is a nonlinear mathematical programming, a heuristic linearization approach is also provided. A numerical example and a real-life case study in supply chain are provided to check the efficacy and applicability of the proposed model. The results of proposed model on both numerical example and real case study are compared with those of existing centralized DEA models in the literature. The comparison reveals the efficacy and suitability of proposed model while the pitfalls of centralized DEA model are also resolved. A comprehensive sensitivity analysis is also conducted on the breakdown point associated with each stage.

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