scholarly journals Railway stations as efficiency decision-making units: Input and output DEA model

Tehnika ◽  
2016 ◽  
Vol 71 (3) ◽  
pp. 441-448
Author(s):  
Dubravka Vukovic
Keyword(s):  
Decision Making ◽  
Railway Stations ◽  
Dea Model ◽  
Input And Output ◽  
Decision Making Units

Measuring the relative performance of forest management units: a chance-constrained DEA model in the presence of the nondiscretionary factor

2019 ◽  
Vol 49 (7) ◽  
pp. 788-801 ◽  
Author(s):  
Majid Zadmirzaei ◽  
Soleiman Mohammadi Limaei ◽  
Alireza Amirteimoori ◽  
Leif Olsson
Keyword(s):  
Decision Making ◽  
Forest Management ◽  
Efficiency Score ◽  
Management Problem ◽  
Strong Positive Correlation ◽  
Deterministic Models ◽  
Management Units ◽  
Dea Model ◽  
Management Plans ◽  
Decision Making Units

In this study, we develop a marginal chance-constrained data envelopment analysis (DEA) model in the presence of nondiscretionary inputs and hybrid outputs for the first time. We call it a stochastic nondiscretionary DEA model (SND-DEA), and it is developed to measure and compare the relative efficiency of forest management units under different environmental management systems. Furthermore, we apply an output-oriented DEA technology to both deterministic and stochastic scenarios. The required data are collected from 24 forest management plans (as decision-making units) and included four inputs and an equal amount of outputs. The findings of this practical research show that the modified SND-DEA model in different probability levels gives us apparently different results compared with the output from pure deterministic models. However, when we calculate the correlation measures, the probability levels give us a strong positive correlation between stochastic and deterministic models. Therefore, approximately 40% of the forest management plans based on the applied SND-DEA model should substantially increase their average efficiency score. As the major conclusion, our developed SND-DEA model is a suitable improvement over previous developed models to discriminate the efficiency and (or) inefficiency of decision-making units to hedge against risk and uncertainty in this type of forest management problem.

AGGREGATED RATIO ANALYSIS IN DEA

2005 ◽  
Vol 04 (03) ◽  
pp. 369-384 ◽  
Author(s):  
DESHENG WU ◽  
LIANG LIANG ◽  
ZHIMIN HUANG ◽  
SUSAN X. LI
Keyword(s):  
Decision Making ◽  
Relative Efficiency ◽  
Efficient Frontier ◽  
Ratio Analysis ◽  
Ratio Model ◽  
Analysis Model ◽  
Frontier Analysis ◽  
Dea Model ◽  
Insight Into ◽  
Decision Making Units

This paper proposes an aggregated ratio analysis model which can be utilized to evaluate relative efficiency of decision making units (DMUs). We show that our proposed ratio model is equivalent to the CCR DEA model. This equivalence property offers a great deal of opportunities for DEA to be interpreted and applied in different ways. Our model also offers an insight into the frontier analysis. Whether a DMU is on the frontier or efficient frontier can be informed by using our aggregated ratio analysis. Several results developed in the paper are coincident with that in the literature.

scholarly journals A full investigation of the directional congestion in data envelopment analysis

2019 ◽  
Author(s):  
somayeh khezri ◽  
Akram Dehnokhalaji ◽  
Farhad Hosseinzadeh Lotfi
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Input Output ◽  
Input And Output ◽  
Dea Models ◽  
Systems Of Inequalities ◽  
Full Investigation ◽  
Decision Making Units ◽  
Inputs And Outputs

One of interesting subjects in Data Envelopment Analysis (DEA) is estimation of congestion of Decision Making Units (DMUs). Congestion is evidenced when decreases (increases) in some inputs re- sult in increases (decreases) in some outputs without worsening (im- proving) any other input/output. Most of the existing methods for measuring the congestion of DMUs utilize the traditional de nition of congestion and assume that inputs and outputs change with the same proportion. Therefore, the important question that arises is whether congestion will occur or not if the decision maker (DM) increases or de- creases the inputs dis-proportionally. This means that, the traditional de nition of congestion in DEA may be unable to measure the con- gestion of units with multiple inputs and outputs. This paper focuses on the directional congestion and proposes methods for recognizing the directional congestion using DEA models. To do this, we consider two di erent scenarios: (i) just the input direction is available. (ii) none of the input and output directions are available. For each scenario, we propose a method consists in systems of inequalities or linear pro- gramming problems for estimation of the directional congestion. The validity of the proposed methods are demonstrated utilizing two nu- merical examples.

scholarly journals On the redistribution of existing inputs using the spherical frontier dea model

2010 ◽  
Vol 30 (1) ◽  
pp. 1-14 ◽  
Author(s):  
José Virgilio Guedes de Avellar ◽  
Armando Zeferino Milioni ◽  
Tania Nunes Rabello ◽  
Hugo Passos Simão
Keyword(s):  
Decision Making ◽  
Spherical Shape ◽  
Efficiency Frontier ◽  
Dea Model ◽  
Fixed Input ◽  
Decision Making Units

The Spherical Frontier DEA Model (SFM) (Avellar et al., 2007) was developed to be used when one wants to fairly distribute a new and fixed input to a group of Decision Making Units (DMU's). SFM's basic idea is to distribute this new and fixed input in such a way that every DMU will be placed on an efficiency frontier with a spherical shape. We use SFM to analyze the problems that appear when one wants to redistribute an already existing input to a group of DMU's such that the total sum of this input will remain constant. We also analyze the case in which this total sum may vary.

scholarly journals Efficiency of Using Research and Development Expenditures at Voivodship Level

2015 ◽  
Vol 16 (1) ◽  
pp. 97-112
Author(s):  
Adam Kucharski
Keyword(s):  
Decision Making ◽  
Research And Development ◽  
Small Group ◽  
Considerable Degree ◽  
Dea Model ◽  
Technological Level ◽  
Decision Making Units

AbstractOne of the most important criteria dividing countries on developed and developing is technological level of the economy which is a derivative of R&D. We showed in the article, that only a rather small group of voivodships was characterized by a full efficiency of converting the expenditure into effects. Low values of efficiency indices pay attention for all ineffective provinces. It won’t be possible to say about none of them, that it found near the efficiency border which accompanied by large differences between decision making units. The non-radial DEA model showed that both the internal expenditures (in converting into the thousand residents) and the personnel employed in the R+D work are not used efficiently and what’s more in the considerable degree wherein a first of said inputs research units managed by a little more effectively.

Research on Improvement of Non-DEA Efficient Units

2014 ◽  
Vol 962-965 ◽  
pp. 2831-2837
Author(s):  
Jin Ling Sun ◽  
Juan Pang ◽  
Jun Bian
Keyword(s):  
Decision Making ◽  
External Environment ◽  
Actual Situation ◽  
Strategy Space ◽  
Decision Unit ◽  
Dea Model ◽  
Potential Problems ◽  
Relationship Of ◽  
The Relationship ◽  
Decision Making Units

When dealing with the relationship of inputs and outputs by using DEA model, people often find that part of decision units are non DEA efficient in numerous evaluated decision units. For each decision unit has various internal situations, and the external environment is also relatively complex, the strategy space that managers can take should also be diversified.Therefore,the improving methods must also be diversified. The paper will combine potential problems with the non-DEA efficient decision making units to study several different improving models.Managers can choose different improving methods according to different strategy space to enable the improvement more in line with the actual situation.

scholarly journals THE PROPORTION OF SPORTS PUBLIC SERVICE FACILITIES BASED ON THE DEA MODEL IN COLLEGES AND UNIVERSITIES

2021 ◽  
Vol 27 (spe) ◽  
pp. 97-100
Author(s):  
Haonan Niu ◽  
Yu Zhang
Keyword(s):  
Decision Making ◽  
Public Service ◽  
Colleges And Universities ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Sports Facilities ◽  
Dea Model ◽  
Matching Efficiency ◽  
Decision Making Units ◽  
Selection Of

ABSTRACT In order to strengthen the physical education of college students, it is necessary to reasonably allocate university sports public service resources. In order to improve the allocation of university sports resources, this study constructs the Data Envelopment Analysis (DEA) model by analyzing the proportion of public sports service facilities in colleges and universities. Through the selection of input index and output index of sports public service facilities in colleges and universities, as well as selecting 20 colleges and universities as decision-making units, this paper constructs a DEA model, and studies the use of the DEA Tobit two-stage method to evaluate the matching efficiency of public sports service facilities in colleges and universities. The results show that the pure technical efficiency of sports public service facilities in colleges and universities is effective, and the scale efficiency of most colleges and universities is relatively high, and the proportion of sports facilities is relatively reasonable. However, there are still large problems in the proportion of public sports service facilities in colleges and universities, so it is necessary to adjust the proportion and scale of sports facilities allocation reasonably. This study verified the effectiveness of the DEA model in evaluating the proportion of public sports service facilities in colleges and universities, hoping to provide certain reference for improving the proportion of public sports service facilities in colleges and universities.

The Assessment of Outsourcing IT Services using DEA Technique

2016 ◽  
Vol 7 (1) ◽  
pp. 45-57
Author(s):  
Mohammad Amin Zare ◽  
Mohammad Taghi Taghavi Fard ◽  
Payam Hanafizadeh
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Data Envelopment Analysis ◽  
It Outsourcing ◽  
Data Envelopment ◽  
Efficiency Improvement ◽  
Research Centers ◽  
It Services ◽  
Input And Output ◽  
Decision Making Units

This article proposes a model to make an assessment of efficiency in Information Technology (IT) outsourcing in research centers through data envelopment analysis (DEA). In this research input and output variables of DEA model for assessment of IT outsourcing efficiency distinguished. The decision-making units (DMUs) include 36 research centers in Iran. Expenses and capabilities of contractors represent the inputs and the satisfaction of users, risks, and quality constitute the outputs. In order to calculate the input and output values, a questionnaire has been conducted to DMUs. Afterwards, BCC model has facilitated the calculation of the efficiency of the DMUs and classifies efficient and inefficient units. In addition, Anderson Peterson's model is used for ranking efficient DMUs. This research has brought us to the conclusion that the variables of risk and quality account for the biggest shares in efficiency improvement of non-efficient DMUs.

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