Integração das metodologias DEA e BSC para a avaliação de controlo de gestão e dos negócios

Mestrado em Controlo de Gestão e dos Negócios

A modified DEA model to estimate the importance of objectives with an application to agricultural economics

This paper demonstrates a connection between data envelopment analysis (DEA) and a non-interactive elicitation method to estimate the weights of objectives for decision-makers in a multiple attribute approach. This connection gives rise to a modified DEA model that allows us to estimate not only efficiency measures but also preference weights by radially projecting each unit onto a linear combination of the elements of the payoff matrix (which is obtained by standard multicriteria methods). For users of multiple attribute decision analysis the basic contribution of this paper is a new interpretation in terms of efficiency of the non-interactive methodology employed to estimate weights in a multicriteria approach. We also propose a modified procedure to calculate an efficient payoff matrix and a procedure to estimate weights through a radial projection rather than a distance minimization. For DEA users, we provide a modified DEA procedure to calculate preference weights and efficiency measures that does not depend on any observations in the dataset. This methodology has been applied to an agricultural case study in Spain.

Contribuição ao desenvolvimento de ontologias para processos petroquímicos : estudo de caso em uma planta DEA

In the last decades, the oil, gas and petrochemical industries have registered a series of huge accidents. Influenced by this context, companies have felt the necessity of engaging themselves in processes to protect the external environment, which can be understood as an ecological concern. In the particular case of the nuclear industry, sustainable education and training, which depend too much on the quality and applicability of the knowledge base, have been considered key points on the safely application of this energy source. As a consequence, this research was motivated by the use of the ontology concept as a tool to improve the knowledge management in a refinery, through the representation of a fuel gas sweetening plant, mixing many pieces of information associated with its normal operation mode. In terms of methodology, this research can be classified as an applied and descriptive research, where many pieces of information were analysed, classified and interpreted to create the ontology of a real plant. The DEA plant modeling was performed according to its process flow diagram, piping and instrumentation diagrams, descriptive documents of its normal operation mode, and the list of all the alarms associated to the instruments, which were complemented by a non-structured interview with a specialist in that plant operation. The ontology was verified by comparing its descriptive diagrams with the original plant documents and discussing with other members of the researchers group. All the concepts applied in this research can be expanded to represent other plants in the same refinery or even in other kind of industry. An ontology can be considered a knowledge base that, because of its formal representation nature, can be applied as one of the elements to develop tools to navigate through the plant, simulate its behavior, diagnose faults, among other possibilities

Uma metodologia para a análise do desempenho sustentável dos postos de revenda de combustível na cidade de Natal/RN, com o uso de data envelopment analysis-DEA

The increasing use of fossil fuels in line with cities demographic explosion carries out to huge environmental impact in society. For mitigate these social impacts, regulatory requirements have positively influenced the environmental consciousness of society, as well as, the strategic behavior of businesses. Along with this environmental awareness, the regulatory organs have conquered and formulated new laws to control potentially polluting activities, mostly in the gas stations sector. Seeking for increasing market competitiveness, this sector needs to quickly respond to internal and external pressures, adapting to the new standards required in a strategic way to get the Green Badge . Gas stations have incorporated new strategies to attract and retain new customers whom present increasingly social demand. In the social dimension, these projects help the local economy by generating jobs and income distribution. In this survey, the present research aims to align the social, economic and environmental dimensions to set the sustainable performance indicators at Gas Stations sector in the city of Natal/RN. The Sustainable Balanced Scorecard (SBSC) framework was create with a set of indicators for mapping the production process of gas stations. This mapping aimed at identifying operational inefficiencies through multidimensional indicators. To carry out this research, was developed a system for evaluating the sustainability performance with application of Data Envelopment Analysis (DEA) through a quantitative method approach to detect system s efficiency level. In order to understand the systemic complexity, sub organizational processes were analyzed by the technique Network Data Envelopment Analysis (NDEA) figuring their micro activities to identify and diagnose the real causes of overall inefficiency. The sample size comprised 33 Gas stations and the conceptual model included 15 indicators distributed in the three dimensions of sustainability: social, environmental and economic. These three dimensions were measured by means of classical models DEA-CCR input oriented. To unify performance score of individual dimensions, was designed a unique grouping index based upon two means: arithmetic and weighted. After this, another analysis was performed to measure the four perspectives of SBSC: learning and growth, internal processes, customers, and financial, unifying, by averaging the performance scores. NDEA results showed that no company was assessed with excellence in sustainability performance. Some NDEA higher efficiency Gas Stations proved to be inefficient under certain perspectives of SBSC. In the sequence, a comparative sustainable performance and assessment analyzes among the gas station was done, enabling entrepreneurs evaluate their performance in the market competitors. Diagnoses were also obtained to support the decision making of entrepreneurs in improving the management of organizational resources and promote guidelines the regulators. Finally, the average index of sustainable performance was 69.42%, representing the efforts of the environmental suitability of the Gas station. This results point out a significant awareness of this segment, but it still needs further action to enhance sustainability in the long term

Profitability performance assessment in the Australian construction industry: a global relational two-stage DEA method

Effective performance measurement drives performance and supports the development of construction. Only minimal literature measuring construction performance, efficiency and effectiveness simultaneously can be identified. A global relational two-stage data envelopment analysis (DEA) method is here proposed in order to produce effective and informative performance results. A relational two-stage DEA method systematically measures overall efficiency for a whole construction system and also yields scores for the individual stages of construction. The DEA results can be directly compared through global benchmark technology. The Australian construction industry is employed in order to implement the new method, in which profitability performance as a vital indicator of business survival, and its two dimensions of efficiency and effectiveness, are measured. The construction profitability performance and efficiency measures obtained provide evidence of underperformance and a slight imbalance in Australia between 1991 and 2012, while the measures obtained for the effectiveness factor indicate better achievement. The approach here developed promotes progress in modelling two-stage performance measurement and it can be replicated worldwide by construction projects, organizations or industries in order to quantify their performance, identify internal inefficiency components and recognize competitive advantages for promoting sustainable development.

A DEA-based incentives system for centrally managed multi-unit organisations

In multi-unit organisations such as a bank and its branches or a national body delivering publicly funded health or education services through local operating units, the need arises to incentivize the units to operate efficiently. In such instances, it is generally accepted that units found to be inefficient can be encouraged to make efficiency savings. However, units which are found to be efficient need to be incentivized in a different manner. It has been suggested that efficient units could be incentivized by some reward compatible with the level to which their attainment exceeds that of the best of the rest, normally referred to as “super-efficiency”. A recent approach to this issue (Varmaz et. al. 2013) has used Data Envelopment Analysis (DEA) models to measure the super-efficiency of the whole system of operating units with and without the involvement of each unit in turn in order to provide incentives. We identify shortcomings in this approach and use it as a starting point to develop a new DEA-based system for incentivizing operating units to operate efficiently for the benefit of the aggregate system of units. Data from a small German retail bank is used to illustrate our method.

Minor and major consolidations in inverse DEA:definition and determination

Many production systems have acquisition and merge operations to increase productivity. This paper proposes a novel method to anticipate whether a merger in a market is generating a major or a minor consolidation, using InvDEA model. A merger between two or more decision making units (DMUs) producing a single merged DMU that affects the efficiency frontier, defined by the pre-consolidation market conditions, is called a major consolidation. The corresponding alternative case is called a minor consolidation. A necessary and sufficient condition to distinguish the two types of consolidations is proven and two numerical illustrations in banking and supply chain management are discussed. The crucial importance of anticipating the magnitude of a consolidation in a market is outlined.

Percurso profissional. Destaque para a análise da produção de resíduos urbanos no Alentejo Central - portugal e utilização do modelo DEA na definição da meta da recolha seletiva

Neste trabalho de Projeto efetua-se o desenvolvimento do tema da produção de Resíduos Urbanos (RU) no Alentejo Central, utilizando-se o modelo DEA (Data Envelopment Analysis) para a análise das metas da recolha seletiva estabelecidas para 2020. Genericamente, quanto maior é o grau de desenvolvimento económico de um território, maior é a taxa de urbanização e maior é também a quantidade de resíduos urbanos produzidos por habitante. O rendimento e a urbanização são variáveis altamente correlacionadas, quando aumenta o rendimento disponível e os padrões de vida, aumenta também o consumo de bens e serviços de modo correspondente, o que leva ao aumento da quantidade de resíduos gerados. Assim, tendo em conta os impactos locais que os RU abandonados trazem, e com o objetivo de quebrar o elo entre crescimento económico e os impactos ambientais associados à produção de resíduos, são implementadas, nos países com elevados níveis de desenvolvimento, políticas baseadas em modelos integrados de gestão de RU que permitem a recuperação, reciclagem e valorização dos materiais, reservando-se a eliminação (deposição em aterro) para frações não valorizáveis, o que gera empregos e riqueza. Em Portugal vigora o Plano Estratégico para os Resíduos Urbanos (PERSU 2020) que define objetivos e metas nacionais, nomeadamente a meta da recolha seletiva, estabelecendo para 2020 um quantitativo nacional mínimo a recuperar de 47 kg por habitante por ano. Deste modo, importa caracterizar, para o período de 2002 a 2012, como evoluiu a produção de RU em comparação com a evolução do PIB em Portugal. A análise foca-se então na produção de RU na região do Alentejo em particular no Alentejo Central que evidencia um elevado nível per capita em comparação com o resto do país, situando-se mesmo acima das regiões do grande Porto e Lisboa. São apresentadas possíveis razões para o registo destes elevados níveis de produção de RU não se conseguindo, no entanto, avançar com evidências. Como o modelo DEA é utilizado no PERSU 2020 para fundamentar a projeção das metas da recolha seletiva por sistema de gestão de resíduos urbanos, fez-se a sua reprodução, o que permitiu uma análise mais detalhada dos dados e o ensaio de novos resultados considerando, para além do nível de produção de RU, o numero de equipamentos de deposição de recolha seletiva como input do modelo; Abstract: Title of the report: Professional career. Emphasis on the analysis of urban waste production in Alentejo Central - Portugal and the use of the DEA in defining the separate collection target This professional report presents the theme of the Urban Waste (UW) production in Central Alentejo, using the DEA (Data Envelopment Analysis) to analyse the target set for selective collection in 2020. Generally, the higher the degree of economic development of a region, the greater the rate of urbanization and the greater also the amount of municipal waste produced per capita. The variables income and urbanization are highly correlated, if you have an increase in the disposable income and living standards, the consumption of goods and services will increase accordingly, which leads to the increase of the amount of produced waste. Thus, taking into account the local impact that the abandoned UW brings, and in order to break the link between economic growth and the environmental impacts associated with the production of waste, countries with high levels of development implement policies based on integrated UW management models that allow the recovery, recycling and valorisation of materials, restricting the disposal (landfill) to non-recoverable fractions, which creates jobs and wealth. Portugal established a national strategic plan for Urban Waste (PERSU 2020) which defines the goals and national targets, including the selective collection target stating for 2020 a minimum recover of 47 kg per capita per year. Then it is relevant to characterize and compare the evolution of UW production and GDP in Portugal for the period 2002 to 2012. The analysis then focuses on the production of UW in Alentejo, particularly in Central Alentejo region, which shows a high per capita level compared to the rest of the country, placed just above the Greater Porto and Lisbon region. Then we explore several possible reasons for this high level of UW production in this region, but none is successful in producing strong evidence. As the DEA is used in PERSU 2020 to support the projection of the selective collection targets for the municipal waste management systems, in this report we develop the model, which allowed access to the data and a more detailed analyse. Then we introduce and test a new input, the number of separate collection deposition equipment, which gives new results that are compared with the original ones.

Restricting the flexibility in DEA models

DEA models have been applied as the benchmarking tool in operations management to empirically account operational and productive efficiency. The wide flexibility in assigning the weights in DEA approach can result on indicators of efficiency who do not take account the relative importance of some inputs. In order to overcome this limitation, in this research we apply the DEA model under restricted weight specification. This model is applied to Spanish hotel companies in order to measure operational efficiency. The restricted weight specification enables us to decrease the influence of assigning unrealistic weights in some units and improve the efficiency estimation and to increase the discriminating potential of the conventional DEA model.

The Relative Efficiency of International, Domestic, and Budget Airlines : Nonparametric Evidence

This study determines whether the inclusion of low-cost airlines in a dataset of international and domestic airlines has an impact on the efficiency scores of so-called ‘prestigious’ purportedly ‘efficient’ airlines. This is because while many airline studies concern efficiency, none has truly included a combination of international, domestic and budget airlines. The present study employs the nonparametric technique of data envelopment analysis (DEA) to investigate the technical efficiency of 53 airlines in 2006. The findings reveal that the majority of budget airlines are efficient relative to their more prestigious counterparts. Moreover, most airlines identified as inefficient are so largely because of the overutilization of non-flight assets.

Operational performance of low-cost carriers and international airlines : New evidence using a bootstrap truncated regression

Between 2001 and 2005, the US airline industry faced financial turmoil. At the same time, the European airline industry entered a period of substantive deregulation. This period witnessed opportunities for low-cost carriers to become more competitive in the market as a result of these combined events. To help assess airline performance in the aftermath of these events, this paper provides new evidence of technical efficiency for 42 national and international airlines in 2006 using the data envelopment analysis (DEA) bootstrap approach first proposed by Simar and Wilson (J Econ, 136:31-64, 2007). In the first stage, technical efficiency scores are estimated using a bootstrap DEA model. In the second stage, a truncated regression is employed to quantify the economic drivers underlying measured technical efficiency. The results highlight the key role played by non-discretionary inputs in measures of airline technical efficiency.

Efficiency of research performance of Australian universities : a reappraisal using a bootstrap truncated regression approach

The motivation of the study stems from the results reported in the Excellence in Research for Australia (ERA) 2010 report. The report showed that only 12 universities performed research at or above international standards, of which, the Group of Eight (G8) universities filled the top eight spots. While performance of universities was based on number of research outputs, total amount of research income and other quantitative indicators, the measure of efficiency or productivity was not considered. The objectives of this paper are twofold. First, to provide a review of the research performance of 37 Australian universities using the data envelopment analysis (DEA) bootstrap approach of Simar and Wilson (2007). Second, to determine sources of productivity drivers by regressing the efficiency scores against a set of environmental variables.

A note on the ‘Linsanity’ of measuring the relative efficiency of National Basketball Association (NBA) guards

This note examines the productive efficiency of 62 starting guards during the 2011/12 National Basketball Association (NBA) season. This period coincides with the phenomenal and largely unanticipated performance of New York Knicks’ starting point guard Jeremy Lin and the attendant public and media hype known as Linsanity. We employ a data envelopment analysis (DEA) approach that includes allowance for an undesirable output, here turnovers per game, with the desirable outputs of points, rebounds, assists, steals, and blocks per game and an input of minutes per game. The results indicate that depending upon the specification, between 29 and 42 percent of NBA guards are fully efficient, including Jeremy Lin, with a mean inefficiency of 3.7 and 19.2 percent. However, while Jeremy Lin is technically efficient, he seldom serves as a benchmark for inefficient players, at least when compared with established players such as Chris Paul and Dwayne Wade. This suggests the uniqueness of Jeremy Lin’s productive solution and may explain why his unique style of play, encompassing individual brilliance, unselfish play, and team leadership, is of such broad public appeal.

Input-orientated data envelopment analysis framework for measuring and decomposing economic, environmental and ecological efficiency : an application to OECD agriculture

This paper presents an input-orientated data envelopment analysis (DEA) framework which allows the measurement and decomposition of economic, environmental and ecological efficiency levels in agricultural production across different countries. Economic, environmental and ecological optimisations search for optimal input combinations that minimise total costs, total amount of nutrients, and total amount of cumulative exergy contained in inputs respectively. The application of the framework to an agricultural dataset of 30 OECD countries revealed that (i) there was significant scope to make their agricultural production systemsmore environmentally and ecologically sustainable; (ii) the improvement in the environmental and ecological sustainability could be achieved by being more technically efficient and, even more significantly, by changing the input combinations; (iii) the rankings of sustainability varied significantly across OECD countries within frontier-based environmental and ecological efficiency measures and between frontier-based measures and indicators.

A note on the ‘Linsanity’ of measuring the relative efficiency of National Basketball Association guards

This note examines the productive efficiency of 62 starting guards during the 2011/12 National Basketball Association (NBA) season. This period coincides with the phenomenal and largely unanticipated performance of New York Knicks’ starting point guard Jeremy Lin and the attendant public and media hype known as Linsanity. We employ a data envelopment analysis (DEA) approach that includes allowance for an undesirable output, here turnovers per game, with the desirable outputs of points, rebounds, assists, steals and blocks per game and an input of minutes per game. The results indicate that depending upon the specification, between 29% and 42% of NBA guards are fully efficient, including Jeremy Lin, with a mean inefficiency of 3.7% and 19.2%. However, while Jeremy Lin is technically efficient, he seldom serves as a benchmark for inefficient players, at least when compared with established players such as Chris Paul and Dwayne Wade. This suggests the uniqueness of Jeremy Lin's productive solution and may explain why his unique style of play, encompassing individual brilliance, unselfish play and team leadership, is of such broad public appeal.