EVALUATING THE PERFORMANCE AND RANKING OF THE PROVINCES OF THE COUNTRY IN BARLEY PRODUCTION USING THE DATA ENVELOPMENT ANALYSIS WITH REGARD TO WEIGHT RESTRICTIONS

Abstract Wheat and barleyhave long been involved and blended into thedaily livesof the people,directlyorindirectly. Breadis the staplenourishment of all inhabitants of the world including Iranians. Therefore, it provision is among thetop priorities ofhuman societies. Given the importance ofbarleyin Iran, thispaper has discussed the performance and ranking evaluation of the provinces of the country in barley production using the data envelopment analysis with regard tohomogeneousallocationof the weights. The advantage of thismethodover the othermethods ofweightrestrictionis that it has no effecton thesolution space of the issue.Theobtained resultscan be used as a reference in evaluating performance and planning for achieving higher efficiency in Barleyproduction inthe provinces of the country. Thispaperhas not only calculated the efficiency using SWAT model but also calculated the efficiency of the units usingdata envelopment analysisin classicalmode in order to determinethe ability ofthe modelin distinguishing betweenthe units

A multicriteria selection system based on player performance. Case study: The Spanish ACB Basketball League

In this paper, we describe an approach to rank sport players based on their efficiency. Although is extremely useful to analyze the performance of team games there is no unanimity on the use of a single index to perform such a ranking. We propose a method to summarize the huge amount of information collected at different aspects of a sport team which is almost daily publicly available. The tool will allow agents involved in a player's negotiation to show the strengths (and weaknesses) of the player with respect to other players. The approach is based on applying a multicriteria outranking methodology using as alternatives the potential players and criteria different efficiency indices. A novel automatic parameter tuning approach is detailed that will allow coaches and sports managers to design templates and sports strategies that improve the efficiency of their teams. We report the results performed over the available information on the ACB Basketball League, and we show how it can be easily implemented and interpreted in practice by decision-makers non familiar with the mathematical side of the methodology.Comment: 17 pages, 6 Tables, 4 Figure

Análisis de la Eficiencia y Productividad de la Superliga de Voleibol

La eficiencia, entendida como el buen aprovechamiento de los inputs para obtener outputs, ha sido evaluada en numerosos deportes como el fútbol, baloncesto, tenis o béisbol. Sin embargo, en el ámbito del voleibol no se han realizado estudios de este tipo. Por ello, en este trabajo se analiza la eficiencia de los equipos masculinos y femeninos de la Superliga española de voleibol. Para ello, se hace uso de un modelo análisis envolvente de datos por etapas (DEA Network) bajo orientación output y rendimientos constantes a escala. En un segundo análisis evaluamos el cambio en la productividad mediante el indicador de Luenberger. Se puede concluir que sólo los primeros equipos clasificados son eficientes y que existen indicios de que los resultados deportivos están relacionados con la eficiencia. En cuanto al cambio en la productividad existen grandes diferencias entre la Superliga Masculina y Femenina. En el primer caso, en general se ha producido un empeoramiento tecnológico y sólo los equipos que han tenido una gran mejora en su eficiencia han mejorado su productividad. En la Superliga Femenina todos los equipos han experimentado una mejora tecnológica, sin embargo, sólo algunos equipos han mejorado su productividad

Ranking Players by DEA: An analysis of Czech and Danish football

Team managers and coaches need to choose the best players. The selection relies mainly on the cost and performance of the entire team. It is a common practice that several key players contribute to the overall results of the football team. The quality of players is one of the crucial features determining the failure or success of a sports team. The present article focuses on measuring player efficiency in the Czech and Danish top football competitions during the 2015/16 to 2019/20 seasons. The presented research aims to identify the most technically efficient players, considering their position on the field. The authors used an input-oriented model of data envelopment analysis and subsequently also cluster analysis to determine the best football players. The following article may be of interest to football club managers, football analysts, economists and others interested in the business of football because it combines two relatively simple methods of measuring the efficiency of football players

Game, set and match: evaluating the efficiency of male professional tennis players

We exploit the natural distinction between the attacking and defensive aspects of tennis to get a better understanding of the origins of relative inefficiency. Attacking is simply when a player is serving and defending is when a player is returning serve. We use data envelopment analysis (DEA) to compute the attacking, defensive and overall efficiencies of the top 100 male professional players for the 2009 season. An analysis of the efficiency scores using non-parametric kernel smoothing suggests that there are four groups of players in the sample- those that are relatively efficient in attack and defence; those that are relatively inefficient in attack and defence; and those that are relatively efficient in attack or defence. Truncated regression equations for the technical and super attacking, defensive and overall efficiencies as a function of off-court variables (e.g. height, age, etc.) suggest that being a left-handed player has a significant positive effect on the overall efficiencies

Modelling efficient and anti-efficient frontiers in DEA without explicit inputs

Data envelopment analysis (DEA) is one of the most widely used tools in efficiency analysis of many business and non-profit organisations. Recently, more and more researchers investigated DEA models without explicit input (DEA-WEI). DEA-WEI models can divide DMUs into two categories: efficient DMUs and inefficient DMUs. Usually there is a set of DMUs, which are ‘efficient’ so that conventional DEA models could not rank them. In this paper, we first develop a performance index based on efficient and anti-efficient frontiers in DEA-WEI models. Further, the corresponding performance index in DEA-WEI models with quadratic utility terms (quadratic DEA-WEI) is proposed also. Finally, we present two case studies on performance assessment of basketball players and the evaluation of research institutes in Chinese Academy of Sciences (CAS) to show the applicability and usefulness of the performance indices developed in this paper

Measuring the Technical Efficiency of Hockey Players: Empirical Evidence from Czech Hockey Competition

Ice hockey is a very popular sport in the Czech Republic. Nowadays, hockey player efficiency analysis is a useful tool that helps sports managers with player selection, team composition and team performance evaluation. The literature offers only a limited number of scientific studies that deal with the evaluation of the efficiency of hockey players or clubs. The aim of this research is to use data envelopment analysis to help Czech hockey clubs, managers and coaches to evaluate the efficiency of their players. This research evaluates the technical efficiency of Czech hockey players using three data envelopment analysis models, ranks the best players based on their super-efficiency scores, and then tries to uncover the main sources of player inefficiency. The models are empirically applied to players playing in the Tipsport extraliga in the 2021/22 season. The evaluation used in this paper attempts to incorporate greater objectivity into decision making and thus may be an important step in developing a systematic methodology for evaluating hockey players

Team improvement in the UEFA Champions League: an application of data envelopment analysis

Football teams, when considered as economic organisations, are expected to achieve their objectives without consuming excess resources. Put another way, they must produce their products and services efficiently. In this study, we calculate efficiency on the playing field for teams in the UEFA Champions League between 2003 and 2012. We do this not only with an aim of separating the efficient and inefficient teams, but also to propose a way for inefficient teams to become more efficient. To this end, we use data envelopment analysis to calculate efficiency ratios. From those results, we calculate improvement percentages that we then use as a basis for team management recommendations. We find that no single input is to blame for inefficiency. The general recommendation for inefficient teams is to use fewer attacking plays