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Author Chang, S.-J.; Hsiao, H.-C.; Huang, L.-H.; Chang, H. doi  openurl
  Title Taiwan quality indicator project and hospital productivity growth Type Journal Article
  Year 2011 Publication Omega Abbreviated Journal  
  Volume 39 Issue 1 Pages 14-22  
  Keywords Taiwan Quality Indicator Project (TQIP); Malmquist productivity change index; Data Envelopment Analysis (DEA )  
  Abstract The Taiwan Quality Indicator Project (TQIP) is a quality management program that measures and monitors the healthcare quality of hospitals in Taiwan. This paper examines the impact of TQIP participation on hospital productivity growth with the application of the Malmquist productivity change index based on data envelopment analysis (DEA). Analyzing operations data from 31 TQIP regional hospitals over the period 1998-2004, we find that TQIP hospitals improved their productivity in the post-TQIP period. This improvement is attributable to quality change and relative efficiency progress. The simultaneous enhancement in both quality and relative efficiency coincides with the philosophy of total quality management (TQM) spirit, and confirms the efficiency improvement and quality assurance functions of TQIP.  
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  Call Number Admin @ admin @ ChangHsiaoHuangChang2011 Serial 4812  
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Author Chang, H.-H.; Chen, Y.-K. doi  openurl
  Title Neuro-genetic approach to optimize parameter design of dynamic multiresponse experiments Type Journal Article
  Year 2011 Publication Applied Soft Computing Abbreviated Journal  
  Volume 11 Issue 1 Pages 436-442  
  Keywords Taguchi method; Dynamic multiresponse; Exponential desirability functions; Experimental design; Genetic algorithms; Neural networks  
  Abstract Engineers have widely applied the Taguchi method, a traditional approach for robust experimental design, to a variety of quality engineering problems for enhancing system robustness. However, the Taguchi method is unable to deal with dynamic multiresponse owing to increasing complexity of the product or design process. Although several alternative approaches have been presented to resolve this problem, they cannot effectively treat situations in which the control factors have continuous values. This study incorporates desirability functions into a hybrid neural network/genetic algorithm approach to optimize the parameter design of dynamic multiresponse with continuous values of parameters. The objective is to find the optimal combination of control factors to simultaneously maximize robustness of each response. The proposed approach is based on three stages which (1) use neural networks for constructing a response function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating overall performance of a specific factor combination, and (3) use a genetic algorithm to optimize parameter design. Effectiveness of the proposed approach is illustrated with a simulated example. Analysis results reveal that the approach has higher performance than the traditional experimental design.  
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  Notes Approved no  
  Call Number Admin @ admin @ ChangChen2011 Serial 4811  
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Author Zhu, D. doi  openurl
  Title A hybrid approach for efficient ensembles Type Journal Article
  Year 2010 Publication Decision Support Systems Abbreviated Journal  
  Volume 48 Issue 3 Pages 480-487  
  Keywords Ensembles; Classification; Data Envelopment Analysis (DEA ); Stacking  
  Abstract An ensemble of classifiers, or a systematic combination of individual classifiers, often results in better classifications in comparison to a single classifier. However, the question regarding what classifiers should be chosen for a given situation to construct an optimal ensemble has often been debated. In addition, ensembles are often computationally expensive since they require the execution of multiple classifiers for a single classification task. To address these problems, we propose a hybrid approach for selecting and combining data mining models to construct ensembles by integrating Data Envelopment Analysis and stacking. Experimental results show the efficiency and effectiveness of the proposed approach.  
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  Notes Approved no  
  Call Number Admin @ admin @ Zhu2010 Serial 4810  
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Author Zhou, P.; Fan, L.-W.; Zhou, D.-Q. doi  openurl
  Title Data aggregation in constructing composite indicators: A perspective of information loss Type Journal Article
  Year 2010 Publication Expert Systems with Applications Abbreviated Journal  
  Volume 37 Issue 1 Pages 360-365  
  Keywords Composite indicator (CI); Multiple criteria decision analysis (MCDA); Aggregation; Distance; Entropy  
  Abstract Composite indicators (CIs) have been widely accepted as a useful tool for performance comparisons, public communication and decision support in a wide spectrum of fields, e.g. economy, environment and knowledge/information/innovation. The quality and reliability of a CI depend heavily on the underlying construction scheme where data aggregation is a major step. This paper analyzes the data aggregation problem in CI construction from the point of view of information loss. Based on the ’minimum information loss’ principle, the distance-based and entropy-based aggregation models for constructing CIs are presented. The entropy-based aggregation model has also been extended to deal with qualitative data. It is shown that the proposed aggregation models have close relationships with several popular MCDA aggregation methods in CI construction, although our proposed models seem to be more flexible while more complex in application. Two case studies are presented to illustrate the use of the proposed aggregation models.  
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  Notes Approved no  
  Call Number Admin @ admin @ ZhouFanZhou2010 Serial 4809  
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Author Zhou, P.; Fan, L.W. doi  openurl
  Title An extension to data envelopment analysis with preference structure for estimating overall inefficiency Type Journal Article
  Year 2010 Publication Applied Mathematics and Computation Abbreviated Journal  
  Volume 216 Issue 1 Pages 812-818  
  Keywords Data envelopment analysis (DEA); Efficiency measurement; Preference structure; Substitution; Overall inefficiency  
  Abstract This paper extends data envelopment analysis (DEA) with preference structure by fully considering the substitution effects among different inputs or outputs. When the unit cost and price information on inputs and outputs are available, the generalized weighted CCR (GWCCR) models proposed in this paper can provide some scalar values for measuring the overall inefficiency. It is found that the GWCCR models focus on the relative aspects of overall inefficiency instead of the absolute aspects focused on by the weighted additive DEA model.  
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  Call Number Admin @ admin @ ZhouFan2010 Serial 4808  
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Author Zhou, P.; Ang, B.W.; Han, J.Y. doi  openurl
  Title Total factor carbon emission performance: A Malmquist index analysis Type Journal Article
  Year 2010 Publication Energy Economics Abbreviated Journal  
  Volume 32 Issue 1 Pages 194-201  
  Keywords Carbon dioxide emissions; Malmquist index; Data Envelopment Analysis (DEA ); Total factor productivity; Bootstrap  
  Abstract This paper introduces a Malmquist CO2 emission performance index (MCPI) for measuring changes in total factor carbon emission performance over time. The MCPI is derived by solving several data envelopment analysis models. Bootstrapping MCPI is proposed to perform statistical inferences on the MCPI results. Using the index the emission performance of the world’s 18 top CO2 emitters from 1997 to 2004 is studied. The results obtained show that the total factor carbon emission performance of the countries as a whole improved by 24% over the period and this was mainly driven by technological progress. The results of a cross-country regression analysis to investigate the determinants of the resulting MCPI are presented.  
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  Notes Approved no  
  Call Number Admin @ admin @ ZhouAngHan2010 Serial 4807  
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Author Zha, Y.; Liang, L. doi  openurl
  Title Two-stage cooperation model with input freely distributed among the stages Type Journal Article
  Year 2010 Publication European Journal of Operational Research Abbreviated Journal  
  Volume 205 Issue 2 Pages 332-338  
  Keywords Shared flow; Two-stage; DEA; Cooperative efficiency; Product-form  
  Abstract Shared flow has been widely used in production scenarios where inputs and outputs are shared among various activities. In DEA literature, shared flow represents situations that DMUs are divided into different components that require common resources or produce goods or services obtained through collaboration among them. The objective of this paper is to offer an approach for studying shared flow in a two-stage production process in series, where shared inputs can be freely allocated among different stages. A product-form cooperative efficiency model is proposed to illustrate the overall efficiency of the DMU, and the relationship between the stages. First, we use a game-theory framework to decide the upper and lower bounds of the efficiencies of the stages in a non-cooperative context. A heuristic is suggested to transform the non-linear model into a parametric linear one, which is then used to solve the cooperative model. The model is justified by a numerical evaluation of bank performances.  
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  Notes Approved no  
  Call Number Admin @ admin @ ZhaLiang2010 Serial 4806  
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Author Zerafat Angiz L., M.; Emrouznejad, A.; Mustafa, A. doi  openurl
  Title Fuzzy assessment of performance of a decision making units using DEA: A non-radial approach Type Journal Article
  Year 2010 Publication Expert Systems with Applications Abbreviated Journal  
  Volume 37 Issue 7 Pages 5153-5157  
  Keywords Fuzzy DEA; Multi objective programming; Membership function; Uncertainty  
  Abstract Data Envelopment Analysis (DEA) is recognized as a modern approach to the assessment of performance of a set of homogeneous Decision Making Units (DMUs) that use similar sources to produce similar outputs. While DEA commonly is used with precise data, recently several approaches are introduced for evaluating DMUs with uncertain data. In the existing approaches many information on uncertainties are lost. For example in the defuzzification, the α-level and fuzzy ranking approaches are not considered. In the tolerance approach the inequality or equality signs are fuzzified but the fuzzy coefficients (inputs and outputs) are not treated directly. The purpose of this paper is to develop a new model to evaluate DMUs under uncertainty using Fuzzy DEA and to include α-level to the model under fuzzy environment. An example is given to illustrate this method in details.  
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  Call Number Admin @ admin @ Zerafat-Angiz-L.EmrouznejadMustafa2010 Serial 4805  
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Author Yu, V.F.; Hu, K.-J. doi  openurl
  Title An integrated fuzzy multi-criteria approach for the performance evaluation of multiple manufacturing plants Type Journal Article
  Year 2010 Publication Computers and Industrial Engineering Abbreviated Journal  
  Volume 58 Issue 2 Pages 269-277  
  Keywords Performance evaluation; MCDM; Voting method; Fuzzy TOPSIS  
  Abstract The performance evaluation is regarded as a multiple criteria decision making (MCDM) problem and has a significant impact on the operations of the enterprise. This paper develops an integrated MCDM approach that combines the voting method and the fuzzy TOPSIS (technique for order preference by similarity to ideal solution) method to evaluate the performance of multiple manufacturing plants in a fuzzy environment. Fuzzy TOPSIS helps decision-makers carry out analysis and comparisons in ranking their preference of the alternatives with vague or imprecise data. Since the evaluation result is often greatly affected by the weights used in the evaluation process, the voting method is used in this study to determine the appropriate criteria weights. A case study demonstrating the applicability of the proposed model is presented. The case company is the world’s largest manufacturer of power supplies. It has three primary manufacturing bases located in Wujiang, Dongguan, and Tianjin, China. The proposed approach is used to evaluate the performance of the company’s five manufacturing plants in Wujiang, which produce switch power, telecom power, DC/DC converters, uninterruptible power systems (UPS) and AC/DC adapters.  
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  Call Number Admin @ admin @ YuHu2010 Serial 4804  
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Author Wu, J.; Zhou, Z.; Liang, L. doi  openurl
  Title Measuring the Performance of Nations at the Beijing Summer Olympics Using an Integer-Valued DEA Model Type Journal Article
  Year 2010 Publication Journal of Sports Economics Abbreviated Journal  
  Volume 11 Issue 5 Pages 549-566  
  Keywords Data Envelopment Analysis (DEA ); Integer values; Olympic ranking; Efficiency  
  Abstract A number of studies have used data envelopment analysis (DEA) to evaluate the performance of the countries in Olympic Games. While the fact that numbers of three kinds of medal must only take integer values is ignored. This study discusses, by means of integer-valued DEA model, the performance of each country at 2008 Beijing Summer Olympic Games. The model in the article considers two inputs (gross domestic product [GDP] per capita and population) and three outputs (number of gold, silver, and bronze medals won); the integrality constraints of three kinds of medal and the weight restrictions among three outputs are also included. The results for the 2008 Beijing Summer Olympic Games are analyzed, and integral output targets are also provided for poorly performing countries to use as benchmarks.  
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  Notes Approved no  
  Call Number Admin @ admin @ WuZhouLiang2010 Serial 4803  
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