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Author Lo, S.-F. doi  openurl
  Title Performance evaluation for sustainable business: a profitability and marketability framework Type
  Year 2009 Publication Corporate Social Responsibility and Environmental Management Abbreviated Journal  
  Volume (down) [2009] Issue Pages  
  Keywords sustainable development; shareholder engagement; performance evaluation; efficiency; investment; Data Envelopment Analysis (DEA )  
  Abstract Corporate sustainability is defined as the integration of financial benefit, environmental protection, and social responsibility into business operations and management. However, there is little evidence depicting the relationship between corporate sustainability and operating performance, and it is also doubtful whether investors in the stock market value corporate sustainable strategies. This study therefore seeks to evaluate the performance of sustainable firms through the perspectives of exploring realistic issues as well as providing supporting evidence. A two-stage performance evaluation is adopted to evaluate the sustainable firms’ profitability and marketability efficiency in comparison with other firms. Copyright © 2009 John Wiley & Sons, Ltd and ERP Environment.  
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  Notes published online Approved  
  Call Number Admin @ admin @ Lo2009 Serial 4567  
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Author Lozano, S.; Iribarren, D.; Moreira, M.T.; Feijoo, G. doi  openurl
  Title The link between operational efficiency and environmental impacts: A joint application of Life Cycle Assessment and Data Envelopment Analysis Type
  Year 2009 Publication Science of The Total Environment Abbreviated Journal  
  Volume (down) 407 Issue 5 Pages 1744-1754  
  Keywords Environmental impacts; Life Cycle Assessment; Best practices; Data Envelopment Analysis (DEA ); Operational efficiency  
  Abstract Life Cycle Assessment (LCA) allows the estimation of the environmental impacts of a process or product. Those environmental impacts depend on the efficiency with which operations are carried out. In the case that LCA data are available for multiple similar installations, their respective operational performances can be benchmarked and links between operational efficiency and environmental impacts can be established. In this paper, this possibility is illustrated with a case study on LCA of mussel cultivation in rafts. For each site (raft) both its inputs consumption and mussel production are known. A separate LCA of each site has been performed and its corresponding environmental impacts have been estimated. Using Data Envelopment Analysis (DEA) on the input/output data allows computing the relative efficiency of each mussel raft and setting appropriate efficiency targets. The DEA targets represent virtual cultivation sites, which consume less input and/or produce more output. The performance of an LCA study for each of these virtual cultivation sites and the comparison between their environmental impacts are used to estimate the environmental impacts consequences of operational inefficiencies. This direct link can help to convince the managers and operators of the cultivation sites of the double dividend of reducing inputs consumption and achieve operational efficiency: lower costs and lower environmental impacts.  
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  Notes Approved  
  Call Number Admin @ admin @ LozanoIribarrenMoreiraFeijoo2009 Serial 4571  
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Author Briec, W.; Horvath, C. doi  openurl
  Title A B-convex production model for evaluating performance of firms Type
  Year 2009 Publication Journal of Mathematical Analysis and Applications Abbreviated Journal  
  Volume (down) 355 Issue 1 Pages 131-144  
  Keywords Min–max cost function; Technology; Upper semilattice; B-convex sets; Nonparametric models; DEA  
  Abstract Some 30 years ago Charnes, Cooper and Rhodes [A. Charnes, W.W. Cooper, E. Rhodes, Measuring the efficiency of decision making units, European J. Oper. Res. 2 (6) (1978) 429-444] proposed DEA (Data Envelopement Analysis) as a mean of measuring and evaluating performance of firms. This paper proposes a model for production technologies which differs from the traditional DEA production model. The usual convex framework of the DEA model is replaced by an order theoretical condition: if two input vectors can produce a given output then the maximum coordinatewise of these two vectors can produce that same output. In this model, technologies are dually linked by a min-max cost function that is dual to the Shephard’s distance function. Assuming free disposal of outputs these technologies can be completely described and the Shephard’s distance function can be given in closed form.  
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  Notes Approved  
  Call Number Admin @ admin @ BriecHorvath2009 Serial 4391  
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Author Hernández-Sancho, F.; Sala-Garrido, R. doi  openurl
  Title Technical efficiency and cost analysis in wastewater treatment processes: A DEA approach Type
  Year 2009 Publication Desalination Abbreviated Journal  
  Volume (down) 249 Issue 1 Pages 230-234  
  Keywords Cost structure; DEA models; Efficiency; Wastewater; Water reuse; Benchmarking methodology  
  Abstract In light of the growing importance of water reuse as an alternative source of water resources in many regional areas, the objective of this paper is to analyse the efficiency of wastewater treatment plants as a basic requisite to improve the potential of the water reuse. The analytical benchmarking methodology Data Envelopment Analysis (DEA) is used to calculate efficiency measurements. An efficiency index is obtained for each plant by means of mathematical programming techniques, aiming to minimise the inputs used in the water treatment process. This indicator is used as a reference to analyse plants’ activity through a series of variables including the size of the plant or its cost structure. Given the importance of wastewater treatment in the Valencia Region (Spain), empirical research has been carried out for 338 plants located in this area. We verify the fact that the largest plants run more efficiently than smaller plants, as was to be expected. At the same time, there is evidence that a series of representative variables in the treatment process are clearly linked to efficiency. Maintenance and waste management costs are the most important factors to explain the differences between plants in terms of efficiency. Finally, the benchmarking methodology (Data Envelopment Analysis) is confirmed as a very useful management tool for the study of wastewater sector.  
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  Call Number Admin @ admin @ Hernandez-SanchoSala-Garrido2009 Serial 4498  
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Author Soleimani-damaneh, M.; Jahanshahloo, G.R.; Mehrabian, S.; Hasannasab, M. doi  openurl
  Title Scale elasticity and returns to scale in the presence of alternative solutions Type
  Year 2009 Publication Journal of Computational and Applied Mathematics Abbreviated Journal  
  Volume (down) 233 Issue 2 Pages 127-136  
  Keywords Scale elasticity; DEA; Returns to scale; Multifunction; Alternative optimal solutions; Efficiency; DMU  
  Abstract Scale elasticity (SE) and returns to scale (RTS) are important topics in performance analysis, which help managers to make decisions about the expansion or contraction of the operation of decision making units under assessment. In this paper, some new results about these topics in the presence of alternative solutions, regarding the concept of multifunction, are provided. At first, some properties of some multifunctions (functions), defined with respect to the optimal solutions of DEA models, are established which help us in what follows. In turn, the relationships between the considered multifunctions and the concept of RTS and SE are studied. Finally an approach for the estimation of the RTS classification of units is obtained, which leads to an important corollary as an interesting result which introduces a connection between two concepts, RTS and SE. This is important from an applied point of view. Also, from a technical point of view, the proofs of theorems which give this corollary use a main lemma of convex analysis literature and give a constructive proof about RTS.  
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  Call Number Admin @ admin @ Soleimani-damanehJahanshahlooMehrabianHasannasab2009 Serial 4647  
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Author Bagherzadeh Valami, H. doi  openurl
  Title Group performance evaluation, an application of data envelopment analysis Type
  Year 2009 Publication Journal of Computational and Applied Mathematics Abbreviated Journal  
  Volume (down) 230 Issue 2 Pages 485-490  
  Keywords Group evaluation; Performance; DEA  
  Abstract The contribution of this paper is to provide an approach for evaluating the performance of a group of decision making units (DMUs) based on the production technology. Group evaluation is an application of data envelopment analysis (DEA). DEA uses linear programming to provide a suitable technique to estimate a multiple-input/multiple-output empirical efficient function. This paper applies group evaluation to evaluate the performance of Iranian commercial banks.  
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  Call Number Admin @ admin @ Bagherzadeh-Valami2009a Serial 4368  
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Author Khodabakhshi, M. doi  openurl
  Title A one-model approach based on relaxed combinations of inputs for evaluating input congestion in DEA Type
  Year 2009 Publication Journal of Computational and Applied Mathematics Abbreviated Journal  
  Volume (down) 230 Issue 2 Pages 443-450  
  Keywords Data Envelopment Analysis (DEA ); Congestion; Inefficiency; Relaxed inputs  
  Abstract This paper provides a one-model approach of input congestion based on input relaxation model developed in data envelopment analysis (e.g. [G.R. Jahanshahloo, M. Khodabakhshi, Suitable combination of inputs for improving outputs in DEA with determining input congestion – Considering textile industry of China, Applied Mathematics and Computation (1) (2004) 263-273; G.R. Jahanshahloo, M. Khodabakhshi, Determining assurance interval for non-Archimedean ele improving outputs model in DEA, Applied Mathematics and Computation 151 (2) (2004) 501-506; M. Khodabakhshi, A super-efficiency model based on improved outputs in data envelopment analysis, Applied Mathematics and Computation 184 (2) (2007) 695-703; M. Khodabakhshi, M. Asgharian, An input relaxation measure of efficiency in stochastic data analysis, Applied Mathematical Modelling 33 (2009) 2010-2023]. This approach reduces solving three problems with the two-model approach introduced in the first of the above-mentioned reference to two problems which is certainly important from computational point of view. The model is applied to a set of data extracted from ISI database to estimate input congestion of 12 Canadian business schools.  
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  Call Number Admin @ admin @ Khodabakhshi2009 Serial 4527  
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Author Wang, Y.-M.; Luo, Y.; Liang, L. doi  openurl
  Title Ranking decision making units by imposing a minimum weight restriction in the data envelopment analysis Type
  Year 2009 Publication Journal of Computational and Applied Mathematics Abbreviated Journal  
  Volume (down) 223 Issue 1 Pages 469-484  
  Keywords Data Envelopment Analysis (DEA ); DEA ranking; Maximin weights; Minimum weight restriction  
  Abstract It has been widely recognized that data envelopment analysis (DEA) lacks discrimination power to distinguish between DEA efficient units. This paper proposes a new methodology for ranking decision making units (DMUs). The new methodology ranks DMUs by imposing an appropriate minimum weight restriction on all inputs and outputs, which is decided by a decision maker (DM) or an assessor in terms of the solutions to a series of linear programming (LP) models that are specially constructed to determine a maximin weight for each DEA efficient unit. The DM can decide how many DMUs to be retained as DEA efficient in final efficiency ranking according to the requirement of real applications, which provides flexibility for DEA ranking. Three numerical examples are investigated using the proposed ranking methodology to illustrate its power in discriminating between DMUs, particularly DEA efficient units.  
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  Call Number Admin @ admin @ WangLuoLiang2009a Serial 4697  
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Author Wen, M.; Li, H. doi  openurl
  Title Fuzzy data envelopment analysis (DEA): Model and ranking method Type
  Year 2009 Publication Journal of Computational and Applied Mathematics Abbreviated Journal  
  Volume (down) 223 Issue 2 Pages 872-878  
  Keywords Data Envelopment Analysis (DEA ); Efficiency; Credibility measure; Ranking method; Fuzzy programming  
  Abstract Data Envelopment Analysis (DEA) is a very effective method to evaluate the relative efficiency of decision-making units (DMUs). Since the data of production processes cannot be precisely measured in some cases, the uncertain theory has played an important role in DEA. This paper attempts to extend the traditional DEA models to a fuzzy framework, thus producing a fuzzy DEA model based on credibility measure. Following is a method of ranking all the DMUs. In order to solve the fuzzy model, we have designed the hybrid algorithm combined with fuzzy simulation and genetic algorithm. When the inputs and outputs are all trapezoidal or triangular fuzzy variables, the model can be transformed to linear programming. Finally, a numerical example is presented to illustrate the fuzzy DEA model and the method of ranking all the DMUs.  
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  Notes Approved  
  Call Number Admin @ admin @ WenLi2009 Serial 4702  
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Author Sun, S.; Hu, S.-C. doi  openurl
  Title Discriminating efficient units using MAJ FDH Type
  Year 2009 Publication Applied Mathematics and Computation Abbreviated Journal  
  Volume (down) 215 Issue 8 Pages 3116-3123  
  Keywords Free disposal hull; Discriminating power; A&P; MAJ; 0-1 Linear programming  
  Abstract Free Disposal Hull (FDH) is one of the tools in the theoretical and empirical work on the measurement of productive efficiency. Excluding linear combinations of extremal observations to construct this reference technology entails that many of the observations belonging to an evaluated dataset are labeled efficient by this method. Few researchers have sought to improve the discrimination power of FDH. Van Puyenbroeck [H. Tulkens, On FDH efficiency analysis: some methodological issues and applications to retail, banking, courts and urban transit, Journal of Productivity Analysis 4 (1993) 183-210] modified standard FDH method by using Andersen and Petersen [N. Adler, L. Friedman, Z. Siunuany-Stern, Review of ranking methods in the data envelopment analysis context, European Journal of Operational Research, 140 (2002) 249-265], referred to A%P FDH. Jahanshahloo et al. [J. Doyle, R. Green, Efficiency and cross-efficiency in DEA: derivation, meanings and uses, Journal of Operational Research Society 45 (5) (1994) 567-578] used 0-1 linear programming (LP), referred to 0-1 LP FDH to find FDH-efficient units. The purpose of this paper is two-folds: to propose MAJ FDH, similar to in spirit as the ranking method in data envelopment analysis by Mehrabian et al. [S. Mehrabian, M.R. Alirezaee, G.R. Jahanshahloo, A complete efficiency ranking of decision making units in data envelopment analysis, Communicational Optimization and Applications 14 (1999) 261-266] that may thus be used to discriminate between FDH-efficient units and to examine the tie-breaking ability of A%P FDH, 0-1 LP FDH, and MAJ FDH by using three numerical examples. Results of the comparisons show: (i) as the number of DMU, input and output is small where all of input and output levels are positive, the A%P FDH can provide a full ranking; (ii) as the number of DMU, input and output is small where some of input and output levels are equal to zero, none of three extended FDH methods can provide a full ranking; and (iii) as the number of DMU, input and output are increased where all of input and output levels are positive, it seems that ranking by MAJ FDH is more precise than other FDH methods.  
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  Notes Approved  
  Call Number Admin @ admin @ SunHu2009 Serial 4663  
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