Eventually progressing to the powerful tool of data envelopment analysis (dea) • the system should reflect best practice models for performance reviews and. Data envelopment analysis is a methodology particularly well-suited to measuring the efficiency of hospitals because it is able to accommodate multiple heterogeneous inputs and outputs in order to model the complex relationships that exist within them this research uses data envelopment analysis to. Read human development and data envelopment analysis: a structured literature review, omega on deepdyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. Using the neo-classical theory of production economics as the analytical framework, this book, first published in 2004, provides a unified and easily comprehensible, yet fairly rigorous, exposition of the core literature on data envelopment analysis (dea) for readers based in different disciplines.
Data envelopment analysis (dea) is a linear programming methodology to measure the efficiency of multiple decision-making units (dmus) when the production process presents a structure of multiple inputs and outputs. Big data and analytics in data envelopment analysis efficiency analysis for manufacturing and engineered systems use of data envelopment analysis for incentive. Strategic measurement and management performance using data envelopment analysis: theory and applications edited by ibrahim h osman, abdel latef anouze and ali emrouznejad applied operational research with sas.
Data envelopment analysis and related literature as already stated, a rich history of literature and research which is demonstrating the importance of processes in analyzing the performance of an organization exists (chase, 1981 chase et al, 1983 levitt, 1972 roth et al, 1995. Data envelopment analysis can measure the relative efficiency of a group of hospitals the following data from a particular study involving seven teaching hospitals include three input measures and four output measures. Sion making units (dmus) using data envelopment analysis (dea) techniques dea is a non-parametric linear programming method for assessing the e ciency and pro.
Abstract linear programming data envelopment analysis is used to determine the relative efficiency of 184 libraries in new york (usa) efficiency is defined as whether or not a library could reduce the inputs it uses equiproportionately and still produce the same output. Literature review on efficiency study is controlled by the two most popular methods: the nonparametric data envelopment analysis (dea), which the focus of the main study and the parametric stochastic frontier analysis (sfa), which we will look into very briefly. Data envelopment analysis is therefore used in different areas of daily life, for example in education programs of schools, or the production and retail business (metters et al , 2003) the data envelopment analysis method was introduced into the operations research literature by charnes, cooper, and rhodes in 1978 (see charnes et al , 1978. Given the importance the concept of productive efficiency has on analyzing the human development process, which is complex and multidimensional, this study conducts a literature review on the research works that have used the data envelopment analysis (dea) to measure and analyze the development process. Data envelopment analysis (dea) models with undesirable inputs and outputs have been frequently discussed in dea literature, eg, via data transformation these studies were scatted in the literature, and often confined to some particular applications in this paper we present a systematic.
Data envelopment analysis has gained great popularity in energy and environmental (e&e) modeling in recent years in this paper, we present a literature survey on the application of data envelopment analysis (dea) to e&e studies we begin with an introduction to the most widely used dea techniques. Data envelopment analysis and although there is vast literature analyzing competition and mathematically related to a multi-objective optimization. Literature in the area of supplier evaluation has been supplier evaluation and rationalization via data envelopment analysis: an empirical examination. 1 introduction there has been continuous and rapid growth in the field of data envelopment analysis (dea)-related studies since the original work of charnes, cooper, and rhodes [measuring the efficiency of decision-making units.
Data envelopment analysis is a methodology particularly well-suited to measuring the efficiency of hospitals because it is able to accommodate multiple heterogeneous inputs and outputs in order to model the complex relationships that exist within them. Data envelopment analysis a comprehensive text with models, applications, references and dea-solver software william w cooper university of texas at austin, usa. Introduction to data envelopment analysis and its applications, in osman et al (eds) handbook of research on strategic performance management and measurement using data envelopment analysis: 235-255.
This section provides a review of existing literature related to the application of data envelopment analysis on banks in india and abroad jemric, igor and boris (2002) analysed the bank efficiency in croatia during 1995-2000 using ccr and bcc. Data envelopment analysis (dea) is a mathematical programming model that provides an objective method to structure various measures into a single meaningful performance score (keh, et al, 2006. Related articles executing cost dea of banks using data envelopment analysis program (deap) the cost efficiency analysis or cost data envelopment analysis or cost dea is evaluated when information on prices and costs are available from the source of the data collected for input and output variables (cooper, seiford, & zhu, 2011.
Professor joe zhu is one of the prominent researchers in the field of data envelopment analysis (dea) his research interests are in the areas of operations and business analytics, productivity modeling, and performance evaluation and benchmarking. Data envelopment analysis (dea) is a nonparametric method in operations research and economics for the estimation of production frontiers [clarification needed]it is used to empirically measure productive efficiency of decision making units (or dmus. This study examines the potential effects of variable set expansion and data variations upon the efficiency scores generated using the data envelopment analysis (dea) model it was found that variable set expansion (either through disaggregation of existing variables or addition of new factors) should produce an upward trend in efficiency scores.