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Publications (91)
Hierarchical data envelopment analysis (DEA) models evaluate the efficiency of decision-making units (DMUs) with a hierarchical group structure, where sub-DMUs are grouped into main DMUs. Contrary to early hierarchical DEA models, which were based on crisp input and output data, the model adopted in this study considers fuzziness attributes in the...
The prevalent economic principle of weak disposability has been the foundation for studies in environmental assessment using
Data Envelopment Analysis (DEA). Recently, a shift from classic free disposability to weak disposability has been observed
as an emerging trend for treating undesirable factors in research. Weak disposability is perceived to...
Tourism has been an important source of income and employment for Mexico, and the economic numbers generated by the tourism have been increasing during last 2 decades. However, the question is how much more tourism capacity can Mexico offer? Therefore, it is necessary to search areas with lower hospitality performance to secure tourism growth and c...
The paper aims at the evaluation of efficiency in sports. Many articles are dealing with the application of data envelopment analysis (DEA) models in this area. They are mainly oriented on efficiency evaluation of teams and not the individual players. On the contrary, the main aim of this paper is to combine both approaches and investigate the rela...
The paper discusses operations research (OR) history and achievements in Czechia and Slovakia in 2010–2021 including the most significant OR professional events in the region. The history of Central European Journal of Operations Research from its beginnings to the present is shortly mentioned. The paper presents and analyzes main bibliometric and...
In the current context of the Covid-19 pandemic, health systems worldwide have been subjected to hitherto unknown challenges. Public health policy makers are urged to find the best solutions to mitigate the effects of the pandemic. Vaccination is seen, more than ever, as the main medical solution to save lives, although in recent times many countri...
The purpose of this paper is to draw the first lessons from the on-going coronavirus crisis and to identify viable solutions for what should become the goal of any country: transforming their own economies into sensitive and responsive economies regarding public health problems. The originality of our approach is given by its objective as well as t...
Finding efficient surfaces is quite an important task in data envelopment analysis (DEA) because scale efficiency, returns to scale, and other characteristics of decision making units (DMUs) may easily be derived using them. Traditional DEA models assume that the inputs and outputs are given as non-ratio characteristics. In cases where only a ratio...
Data envelopment analysis (DEA) is a general tool for measuring the relative efficiency of homogeneous decision-making units (DMUs). DEA models usually deal with crisp data and do not consider the conditions in which the inputs and outputs are uncertain. Many researchers have focused their research on these types of conditions, in which they assume...
Data envelopment analysis (DEA) is a non-parametric method that is widely used for relative efficiency and performance evaluation of the set of decision-making units (DMUs). It is based on maximization of a weighted sum of outputs produced by the unit under evaluation divided by the weighted sum of inputs of the same unit, and the assumption that t...
The cluster analysis is a traditional tool for multi-varietal data processing. Using the k-means method, we can split a pattern set into a given number of clusters. These clusters can be used for the final classification of known output classes. This paper focuses on various approaches that can be used for an optimal union of hidden classes. The re...
After important sport events as the Summer Olympic Games (SOG) are, the participating countries are ranked according to the number of gold, silver and bronze medals. A lexicographic ranking is usually applied in official reports which leads to higher ranking of countries with one gold and no other medals comparing to countries without any gold but...
This paper deals with efficiency analysis of 8 food stores chains in the Czech Republic. Four DEA models are used for the analysis – traditional radial model with the assumption of constant returns to scale (CCR model) and slack-based measures of efficiency model (SBM model). These two models split decision making units into two subsets – efficient...
Data envelopment analysis is a general tool for efficiency and performance measurement of the set of decision making units based on solving linear optimization problems. The paper deals with using this group of models for resource allocation analysis among Czech economic faculties within 7 years period from 2008 until 2014. The resources in the per...
The article is focused on an application of the analytic hierarchy process (AHP) to the performance evaluation of employees of a management consulting company. Performance evaluation of employees is a complex task that must take into account various aspects and evaluation criteria. Moreover, each employee of the company participates during the peri...
Emrouznejad, A., J. Jablonský, R. Banker and M. Toloo (2017), Recent Applications of Data Envelopment Analysis: Proceedings of the 15th International Conference of DEA, June 2017, University of Economics, Prague, Czech Republic, ISBN: 978 1 85449 433 7.
Traditional data envelopment analysis (DEA) models split DMUs into two classes – namely efficient and inefficient. Due to the identical maximum efficiency scores of the efficient units, they cannot be ranked directly. That is why various models allowing the complete ranking of DMUs have been proposed in the past. Those models are based on different...
Input and output data, under uncertainty, must be taken into account as an essential part of data envelopment analysis (DEA) models in practice. Many researchers have dealt with this kind of problem using fuzzy approaches, DEA models with interval data or probabilistic models. This paper presents an approach to scenario-based robust optimization fo...
The purpose of this paper is to investigate some of the main drivers of high unemployment rates in the European Union countries starting from two sources highlighted in the economic literature: the shortfall of the aggregate demand and the increasing labour market mismatches. Our analysis is based on a panel database and focuses on two objectives:...
Applications of traditional data envelopments analysis (DEA) models require knowledge of crisp input and output data. However, the real-world problems often deal with imprecise or ambiguous data. In this paper, the problem of considering uncertainty in the equality constraints is analyzed and by using the equivalent form of CCR model, a suitable ro...
The paper presents a model to analyse the production process of a large international milk-processing company, with the main objective of minimizing total production costs. Process optimization is an important task that must be solved during the strategic and operating steps of the company planning. The proposed methodology visualizes the situation...
The value of using magnetic resonance imaging (MRI) is its ability to visualise tissues non-invasively without exposing patients to radiation. Selecting an MRI system is difficult because of stakeholders' differing interests, and the multidisciplinary nature of selection criteria should be taken as a function of time. The purpose of this study was...
The use of healthcare technology, which effectively assists in diagnosing diseases, significantly increases comfort and satisfaction of the patients. Prices increase with rising quality and offered possibilities. Since purchase of any equipment in healthcare is a significant expense, especially for a private surgery, it is necessary to carefully co...
The paper presents a modelling approach for performance comparison of Central European companies on three levels: country, industry, and company. The approach is based on Data Envelopment Analysis and Analytic Hierarchy Process. The proposed model consists of two basic sections. The first section estimates the importance of selected industries in t...
The data concerning the outcomes of surgical clipping and endovascular treatment in acute aneurysmal subarachnoid hemorrhage (SAH) patients have been analyzed to reveal relations between subjective neuropsychological assessments, measurable characteristics of the patient and the disease, and the type of treatment the patient had undergone one year...
A crucial problem in the analytic hierarchy process (or its extension analytic network process) deriving priorities form pairwise comparison matrices. The most popular methods for deriving priorities are eigenvector method, which is originally proposed by Saaty[5], logarithmic least square method, and least square method. The paper deals with other...
Data envelopment analysis (DEA) is a non-parametric method for efficiency and performance analysis of decision making units. The paper deals with production systems where decision making units are described by their inputs and outputs in several consecutive periods. The paper presents (Park and Park in Eur J Oper Res 193(2):567-580, 2009) multi-per...
Competitiveness analysis of countries and regions stands in the foreground in recent years. Different methods as well as indicators are used to assess competitiveness, but no single procedure is considered to be the main one and it can hardly be stated, which of the measurement approaches is the most proper. The IMD World Competitiveness Online dat...
The original slack-based measure (SBM) model evaluates the efficiency of decision making units (DMUs) referring to the furthest frontier point within a range. Hence the projection may go to a remote point on the efficient frontier which may be inappropriate as a reference point. In this paper we propose a new variant for the improvement of efficien...
Efficiency and performance evaluation is an important task in governmental decision making. This paper aims in application of analytic hierarchy process (AHP) for efficiency analysis of a general set of decision making units (DMUs). Conventional tool for analysis of efficiency of DMUs is data envelopment analysis (DEA). DEA models allow splitting t...
Linear programming (LP) and mixed integer linear programming (MILP) problems belong among very important class of problems that find their applications in various managerial consequences. The aim of the paper is to discuss computational performance of current optimization packages for solving large scale LP and MILP optimization problems. Current m...
Decision making in real practice is usually connected with multiple criteria. Multiple criteria decision making (MCDM) and data envelopment analysis models, even they solve different problem classes, belong to the most often used modeling techniques in this field. Their wider using is often limited by availability of appropriate software tools. The...
One of the most important information given by DEA models is the cost and revenue efficiency of decision making units (DMUs). Cost efficiency is defined as the ratio of minimum costs to current costs, while revenue efficiency is defined as the ratio of maximum revenue to current revenue of the DMU. This paper aims to create models for the estimatio...
Data envelopment analysis (DEA) is one of often used modeling tools for efficiency and performance evaluation of decision making units. Ratio DEA (DEA-R) is a group of novel mathematical models that combines standard DEA methodology and ratio analysis. The efficiency score given by standard DEA CCR model is less than or equal to that given by DEA-R...
The purpose of this paper is to investigate the determinants of labour market dynamics in EU-27 in the recent period and to assess their impact on the process of economic development. The degree of originality is given by our choice to focus on the comparative analysis of two periods of time: 2000-2007, when the European Union as a whole, but espec...
The paper analyzes 10-year government bond and stock index of the Czech Republic and the United States in period from January 2002 to February 2012. Main purpose of the paper is to show connection between bond and stock market and verify whether bonds can be taken as stock indicators. A detailed study of financial time series of both countries is p...
Value-for-money is a widely used criterion to locate "best-buys" in a market of competitive products or services. The term "value" represents a composite measure of what a consumer gets from a product or service, while the term "money" is what the consumer pays for it. In the absence of individual preferences, the problem of identifying best-buys b...
Data envelopment analysis models usually split decision making units into two basic groups, efficient and inefficient. Efficiency
score of inefficient units allows their ranking but efficient units cannot be ranked directly because of their maximum efficiency.
That is why there are formulated several models for ranking of efficient units. The paper...
Among others, fluctuations in market sentiment cause step changes of correlations of financial instrument prices. This phenomenon of the correlations’ destabilization, which was markedly highlighted during the recent financial crisis, reduces the efficiency of the traditional approach to the market risk diversification based on the Markowitz Optima...
In this paper a multiple objective linear programming (MOLP) problem whose feasible region is the production possibility set
with variable returns to scale is proposed. By solving this MOLP problem by multicriterion simplex method, the extreme efficient
Pareto points can be obtained. Then the extreme efficient units in data envelopment analysis (DE...
We propose an approach for the evaluation of efficiency and ranking of decision making units with interval data by using Monte Carlo (MC) simulation and an interval analytic hierarchy process (IAHP) method. The standard data envelopment analysis (DEA) models are not linear in case interval data are considered. They can be linearized by using the MC...
Business processes take place in an environment of complex systems that consist of many interrelated elements with stochastic and dynamic characteristics. Simulation and management methods were developed to cope with such complexity. Simulation and management methods are interdependent disciplines that were developed relatively separately, but we a...
The paper deals with models and methods for evaluation of efficiency of production units. The standard modeling approach for evaluation of efficiency is data envelopment analysis (DEA) based on the definition of efficiency as the ratio of outputs produced by the unit and inputs spent in the production process. Standard data envelopment analysis mod...
Efficiency of hospitals belongs among frequently discussed topics of public policy. This paper deals with a nonparametric model for efficiency evaluation of hospitals - data envelopment analysis (DEA). DEA evaluates efficiency of production units with the help of mathematical programming. DEA specifies the production frontier as the most pessimisti...
Efficiency of hospitals belongs among frequently discussed topics of public policy. This paper deals with a nonparametric model for efficiency evaluation of hospitals - data envelopment analysis (DEA). DEA evaluates efficiency of production units with the help of mathematical programming. DEA specifies the production frontier as the most pessimisti...
The paper deals with models and methods for evaluation of efficiency of production units. The standard modeling approach for evaluation of efficiency is data envelopment analysis (DEA) based on the definition of efficiency as the ratio of outputs produced by the unit and inputs spent in the production process. Standard data envelopment analysis mod...
The paper deals with models and methods for evaluation of efficiency and performance of production units. Especially, it aims at data envelopment analysis (DEA) models, which are based on the definition of efficiency as the ratio of outputs produced by the unit on the one hand and inputs spent in the production process on the other hand. Standard d...
The paper presents an integer goal programming model with several-sided penalty function and discusses its utilisation in solving several classes of decision problems. The special attention is given to nutrition problems and scheduling of nutrition components to hospital patients with respect to the requirements of physicians. The model minimises e...
Data Envelopment Analysis (DEA) is a method for evaluating the relative efficiency of production units characterised by multiple inputs and outputs. The standard DEA models are based on exact inputs and outputs. The paper formulates basic DEA models supposing that inputs and outputs are random variables with given continuous probabilistic distribut...
The postal distribution network in the Czech Republic consists actually of 69 local transit centres (according to the administrative division of the Czech Republic). Each of them operates the post offices in the given region. Some of the important local transit centres can be selected as sorting centres—transhipment points for postal consignments....
The postal distribution network in the Czech Republic consists actually of 69 local transit centres (according to the administrative division of the Czech Republic). Each of them operates the post offices in the given region. Some of the important local transit centres can be selected as sorting centres-transhipment points for postal consignments....
The paper presents an original procedure for selection the global compromise scenario of the group decision making problem. The procedure can be divided into two steps. The first step is a typical hierarchical modelling based on the AHP. The result of this step is a matrix of the individual priorities of the scenarios for all the decision makers. F...
The paper presents the AHP model for productivity comparison of Central European countries accessing the European Union. The model consists of two basic parts. The first one estimates the importance of branches within the countries and the second one evaluates the performance of the firms within branches. Finally, the results of both the parts are...
Data Envelopment Analysis (DEA) is a method for evaluation of relative efficiency of production units described by multiple inputs and outputs. Standard DEA models are based on deterministic inputs and outputs. The paper formulates basic DEA models supposing that inputs and outputs are continuous random variables. Under this assumption the efficien...
1. vyd Pro stud. všech fak. VŠE Praha. - Rozmn
Vyd. 1. Nad názvem: Vysoká škola ekonomická v Praze, Fakulta informatiky a statistiky 300 výt. Určeno pro bakalářské studium na VŠE Praha
Vyd. 2., přeprac. Nad názvem: Vysoká škola ekonomická v Praze, Fakulta informatiky a statistiky 300 výt. Určeno pro bakalářské studium na VŠE v Praze
Název z titulní obrazovky Nad názvem: Katedra ekonometrie Fakulty informatiky a statistiky VŠE v Prahe a Katedra operačného výskumu a ekonometrie Fakulty hospodárskej informatiky EU v Bratislave
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