Numerical free-disposal-hull data-envelopment analysis of potential CMOS-successor technologies

Author(s):  
Matthias Korb ◽  
Andreas Kleine
Author(s):  
Mirpouya Mirmozaffari ◽  
Gohar Azeem ◽  
Azam Boskabadi ◽  
Ali Aranizadeh ◽  
Aditya Vaishnav ◽  
...  

During the past decade, applying nonparametric operation research problems such as Data Envelopment Analysis(DEA) has received significant consideration among researchers. In this paper, a new DEA-based SBM-FDH model is introduced. Finally, productivity evaluation for banking systems in Malmquist Productivity Index (MPI) based on the proposed model has been compared with Slack Based Measurement (SBM) and Free Disposal Hull (FDH). The obtained results confirm the high performance of the proposed model in comparison to the other models used in this paper.                                                                                                                                                                                                                                                                                                                           


2019 ◽  
Vol 5 (1) ◽  
pp. 46-56
Author(s):  
Supriyono Supriyono ◽  
Ahmad Rodoni ◽  
Yacop Suparno ◽  
Hermadi Hermadi ◽  
Hilyatun Nafisah

In this study, the researcher would make Panin Dubai Syariah Bank was the object of research on Islamic banks that carry out mergers and acquisitions. This research by using quarterly financial reports to determine the level of efficiency of the Panin Dubai Syariah Bank to be analyzed using the Data Envelopment Analysis (DEA) method. The researcher was used the annual report to find out the extent the Panin Dubai Syariah Bank carries out its Shariah values and objectives to be analyzed based on the Maqashid Index Sharia. The frontier approach can be divided into parametric approaches and non-parametric approaches. The parametric  approach  takes  measurements  using  stochastic  econometrics  and  seeks  to  eliminate interference from the effects of inefficiency. While the non-parametric approach with linear programs ( non-parametric linear programming approach ) performs non-parametric measurements using an approach is not stochastic and tends to combine the interference into inefficiency. This is based on the discovery and observation of the population and evaluates efficiency relative to the units observed. In the non- parametric method, the approaches that can be used are Data Envelopment Analysis (DEA) and Free Disposal Hull (FDH). The results of the measurement of Bank Panin Dubai Syariah using DEA indicate that the decision to merge carried out by Panin Syariah Bank with Dubai Islamic Bank was the right decision because, with the merger, Panin Dubai Syariah Bank could produce almost perfect efficiency value of 99% in the year 2015. With doing the merger, Bank Panin Dubai Syariah can minimize the inefficiencies that occur in the input variable so that it can maximize the efficiency that occurs in the output variable


2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
M. Abbasi ◽  
G. R. Jahanshahloo ◽  
M. Rostamy-Malkhlifeh ◽  
F. Hosseinzadeh Lotfi

This paper deals with evaluating congestion in free disposal hull (FDH) models. There are several approaches in data envelopment analysis (DEA) literatures which discuss the theory and application of congestion. However, almost all of these approaches considered convex DEA technologies. So, in the case of nonconvex technologies, including FDH technology, this field is almost nil. This paper makes an attempt to fill in this void. To do so, this study provides a pairwise comparisons-based algorithm to evaluate congestion in FDH model. This algorithm identifies the sources of congestion and estimates its amounts. It is also capable of detecting the losses amounts of output due to congestion. The validity of the proposed model is demonstrated using some numerical and empirical examples.


2014 ◽  
Vol 31 (2) ◽  
pp. 394-422 ◽  
Author(s):  
Alois Kneip ◽  
Léopold Simar ◽  
Paul W. Wilson

Data envelopment analysis (DEA) and free disposal hull (FDH) estimators are widely used to estimate efficiencies of production units. In applications, both efficiency scores for individual units as well as average efficiency scores are typically reported. While several bootstrap methods have been developed for making inference about the efficiencies of individual units, until now no methods have existed for making inference about mean efficiency levels. This paper shows that standard central limit theorems do not apply in the case of means of DEA or FDH efficiency scores due to the bias of the individual scores, which is of larger order than either the variance or covariances among individual scores. The main difficulty comes from the fact that such statistics depend on efficiency estimators evaluated at random points. Here, new central limit theorems are developed for means of DEA and FDH scores, and their efficacy for inference about mean efficiency levels is examined via Monte Carlo experiments.


2017 ◽  
Vol 37 (332) ◽  
pp. 10-19 ◽  
Author(s):  
Eligijus Laurinavičius ◽  
Daiva Rimkuvienė

Abstract Production economics forms a very important part of an enormous range of economic theory. Agricultural production is no exception. When evaluating the competitiveness of the multifunctional agriculture, it is necessary to use the measure of efficiency instead of productivity. The conception of the efficiency is explained and the methods for measurement are provided. The authors discuss the methods of Stochastic Frontier Approach (SFA), Free Disposal Hull (FDH) and Data Envelopment Analysis (DEA) that are particularly useful for multi-criterial evaluation of multifunctional processes. Those methods assign an efficiency score to each Decision Making Unit (DMU) based on how well it transforms a given set of inputs into outputs. Most studies have only focused on application of DEA method for assesment of the efficiency of agriculture farms. There is still a need on applications for sectors. This paper provides an examination of the applicability of DEA method to agriculture sectors efficiency measurement. By applying mathematical models, which are based on the DEA, the efficiency of agriculture in each EU country was evaluated.


2018 ◽  
Vol 2 (1) ◽  
pp. 43 ◽  
Author(s):  
Alexandra Maria Rios Cabral ◽  
Francisco S. Ramos

Aim: This study aims to evaluate the technical efficiency of 44 Brazilian port terminals that handled containers in 2016. The evaluation will first proceed by identifying the main benchmarks. It will then provide an analysis of variables that may have an effect on technical efficiency as well as the nature of their relationship with the latter--namely: container movement and specialized terminals. Design / Research methods: In this work we apply the techniques of Data Envelopment Analysis and Free Disposal Hull. Output-oriented models were constructed, using three inputs - berth depth, berth length and number of berths, and three outputs - number of containers handled, medium board measured in container handled per hour of mooring, and medium consignment rate measured in container throughput per ship. Conclusions / findings: The main results show that half of the terminals have an inefficient infrastructure, with capacity larger than necessary to meet current demand for transportation of containers. In addition, there is a strong relationship between the efficiency and size of a terminal port and between the efficiency and degree of specialization. Moreover, the private use terminal of (TUP) Itacal and public quay OCRIM can serve as benchmarks for most of the terminals. Originality / value of the article: Relatively few works in the literature tried to measure technical efficiency for developing countries. Besides that, none of the works found regarding Brazilian ports have shown the scenario after promulgation of the Port’s Law in 2013, and only a few used container cargo as focus. This article is of interest for scientists of the sector, exporters/importers, and Brazilian Government officers interested in observing the effects of public policies aimed at the sector. We also suggest future work concerning the sector's improvements which can follow from our findings. 


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