Data envelopment analysis, operational research and uncertainty

Dyson, Robert G.; Shale, Estelle A.

doi:10.1057/jors.2009.145

Cited by 117 publications

(43 citation statements)

References 35 publications

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“…This is the objective of this article. In line with what has been suggested by several authors (for example, Ackoff [5], Cooper [6], Dyson and Shale [7]), the main purpose of this research project is to explore the usefulness of Operational Research techniques (in particular, the DEA method) in real operational contexts and to put forward some recommendations regarding its successful application in practice. With this purpose in mind, and using a case study from a multinational company operating in the area of vertical transportation, we have developed four interconnected DEA models, one for each of the perspectives of the BSC.…”

Section: Introductionmentioning

confidence: 82%

Integrating the Data Envelopment Analysis and the Balanced Scorecard approaches for enhanced performance assessment

Amado

Santos

Marques

2012

Omega

118

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This article presents the development of a conceptual framework which aims to assess Decision Making Units (DMU) from multiple perspectives. The proposed conceptual framework combines the Balanced Scorecard (BSC) method with the non-parametric technique known as Data Envelopment Analysis (DEA) by using various interconnected models which try to encapsulate four perspectives of performance (financial, customers, internal processes, learning and growth).The practical relevance of the conceptual model has been tested by using it to assess the performance of DMUs in a multinational company which operates in two business areas.Various models were developed with the collaboration of the directors of the company in order to conceive an appropriate and consensual framework which may provide useful information for the company. The application of the conceptual framework provides structured information regarding the performance of each DMU (from multiple perspectives) and ways to improve it. By integrating the BSC and the DEA approaches this research helps to identify where there is room for improving organisational performance and points out opportunities for reciprocal learning between DMUs. In doing so, this article provides a set of recommendations relating to the successful application of DEA and its integration with the BSC, in order to promote a continuous learning process and to bring about improvements in performance.

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Section: Introductionmentioning

confidence: 82%

Integrating the Data Envelopment Analysis and the Balanced Scorecard approaches for enhanced performance assessment

Amado

Santos

Marques

2012

Omega

118

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“…Another evaluation method is stochastic frontier analysis (SFA) which is a parametric approach regarding the environmental damage as an independent variable or input [7]. In SFA, a production function needs to be confirmed [22,23]. However, it cannot always be correct with respect to subjective perception [24].…”

Section: Introductionmentioning

confidence: 99%

Environmental Efficiency and Its Determinants for Manufacturing in China

2016

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Abstract:In this study, we analyze the environmental efficiency performance and its determinants of 29 manufacturing industries in China from 2006 to 2011 by employing a two-stage DEA (data envelopment analysis)-Tobit model. For providing comparative and robust evidence, the 29 manufacturing industries are classified into three groups based on the pollution intensity. In the first stage, a SBM (slacks-based measure)-DEA model is applied to assess economic efficiency and environmental efficiency scores to illustrate the effects of the environmental factors, while taking into consideration the undesirable output. In the second stage, utilizing these calculated environmental efficiency scores as dependent variables, we employ a Tobit regression model to study the determinants of the environmental efficiency by selecting three independent variables including the industry scale, the openness degree and the energy structure. It turns out that the environmental factors have a positive effect on the lightly polluted industries and a negative effect on the moderately polluted industries, the heavily polluted industries, and the overall industries, while the openness degree, the industry scale, and the energy structure can be effective measures to improve environmental efficiency. Based on these findings, we propose policy measures to enhance the environmental efficiency of manufacturing in China.

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“…The coordinator of the center of the matrix could be chosen as (x0, y0), where x0=1, and y0= ymean, i.e., the mean of operating revenue for the entire sample which can be considered as the average level of the industry which the DMUs belong to. The matrix consists of four distinct quadrants: star (big and strong), sleeper (big but weak), dog (small but strong) and question mark (small and weak), where different profiles of DMUs are likely to exist and be assessed on the matrix analogous to a profitability-efficiency matrix discussed by Dyson et al (1990) and Boussofiane et al (1991). From the figure, it is clear that focusing on operating revenue and neglecting DEA efficiency may result in high operating revenue but lacking good operational management.…”

Section: Operating Revenue-dea Efficiency (Or-deae) Matrixmentioning

confidence: 99%

“…Note that, the idea of constructing the OR-DEAE matrix came from the work of Dyson et al (1990) and Boussofiane et al (1991). Analogously to a famous technique to support strategic option formulation -Boston Consulting Group (BCG) matrix (Boston Consulting Group, 1972), Dyson et al (1990).…”

Section: Operating Revenue-dea Efficiency (Or-deae) Matrixmentioning

confidence: 99%

“…Analogously to a famous technique to support strategic option formulation -Boston Consulting Group (BCG) matrix (Boston Consulting Group, 1972), Dyson et al (1990). and Boussofiane et al (1991) discussed a profitability-efficiency matrix to assesse on both profitability and DEA efficiency of DMUs which belong to a profit-making sector.…”

Section: Operating Revenue-dea Efficiency (Or-deae) Matrixmentioning

confidence: 99%

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Comparative Research on Performance of Feed Companies in China---Based on an OR-DEAE Matrix

Zhu¹,

Zhang²

2017

ASS

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Feed manufacturing play a key role in agriculture development and economic growth. The present paper elucidates an operating revenue-DEA efficiency (OR-DEAE) matrix to evaluate both big and strong aspects of feed enterprises in China based on the evaluation measure of Fortune Global 500 and a Data Envelopment Analysis (DEA) method, i.e., super-efficiency CCR model, in order to achieve a healthy and sustainable development in feed manufacturing. Results show that there is a big difference between the performances of feed companies in China. Most of the feed companies are in the question mark quadrant or dog quadrant of the OR-DEAE matrix, showing that their operation levels are relatively low. Only two benchmarking companies were in the star quadrant which reflects they have both big and strong capability. We therefore provide several suggestions for the backward companies to improve their performance.

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Data envelopment analysis, operational research and uncertainty

Cited by 117 publications

References 35 publications

Integrating the Data Envelopment Analysis and the Balanced Scorecard approaches for enhanced performance assessment

Integrating the Data Envelopment Analysis and the Balanced Scorecard approaches for enhanced performance assessment

Environmental Efficiency and Its Determinants for Manufacturing in China

Comparative Research on Performance of Feed Companies in China---Based on an OR-DEAE Matrix

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