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Zhang, X., Huang, G. H., Lin, Q., & Yu, H. (2009). Petroleum-contaminated groundwater remediation systems design: A data envelopment analysis based approach. Expert Systems with Applications, 36(3, Part 1), 5666–5672.
Abstract: Groundwater contamination is one of important environmental problems at petroleum-related sites, which is causing more and more attention. It can bring serious adverse effects on the environment and human health. Design of a groundwater remediation system is desired for supporting the management of petroleum-contaminated sites. Due to high remediation cost and extensive alternatives, efficient remediation design needs to be determined. Data envelopment analysis (DEA) is an approach to measure the relative efficiencies of decision-making units (DMUs) with multiple inputs and multiple outputs without underlying assumptions. However, few of these studies were applied to the design of groundwater remediation systems, where efficient alternatives for remediation systems design need to be determined. This paper proposes a hybrid decision support approach based on data envelopment analysis to determine the most preferable design alternatives for groundwater remediation systems. The total remediation system cost, amount of additional wells, and manpower requirements will be employed as the input variables, while the removal efficiency and technical feasibility as the output variables. The proposed approach will be applied to a case study of designing a groundwater remediation system at a petroleum-contaminated site in western Canada. The most preferable design alternative can be obtained to provide effective decision support for cleaning up the contaminated site.
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Zhang, T. (2009). Frame Work of Data Envelopment Analysis–A Model to Evaluate the Environmental Efficiency of China’s Industrial Sectors. Biomedical and Environmental Sciences, 22(1), 8–13.
Abstract: Objective To evaluate the environmental and technical efficiencies of China’s industrial sectors and provide appropriate advice for policy makers in the context of rapid economic growth and concurrent serious environmental damages caused by industrial pollutants. Methods A data of envelopment analysis (DEA) framework crediting both reduction of pollution outputs and expansion of good outputs was designed as a model to compute environmental efficiency of China’s regional industrial systems. Results As shown by the geometric mean of environmental efficiency, if other inputs were made constant and good outputs were not to be improved, the air pollution outputs would have the potential to be decreased by about 60% in the whole China. Conclusion Both environmental and technical efficiencies have the potential to be greatly improved in China, which may provide some advice for policy-makers.
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Zerafat Angiz L., M., Emrouznejad, A., Mustafa, A., & Rashidi Komijan, A. (2009). Selecting the most preferable alternatives in a group decision making problem using DEA. Expert Systems with Applications, 36(5), 9599–9602.
Abstract: Group decision making is the study of identifying and selecting alternatives based on the values and preferences of the decision maker. Making a decision implies that there are several alternative choices to be considered. This paper uses the concept of Data Envelopment Analysis to introduce a new mathematical method for selecting the best alternative in a group decision making environment. The introduced model is a multi-objective function which is converted into a multi-objective linear programming model from which the optimal solution is obtained. A numerical example shows how the new model can be applied to rank the alternatives or to choose a subset of the most promising alternatives.
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Zarepisheh, M., & Soleimani-damaneh, M. (2009). A dual simplex-based method for determination of the right and left returns to scale in DEA. European Journal of Operational Research, 194(2), 585–591.
Abstract: This study reviews the concept of the ’right’ and the ’left’ returns to scale (RTS) in data envelopment analysis (DEA), and a dual simplex-based method, for determining these two notions in RTS, is proposed, which has computational advantages as compared to the customary method.
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Yu, L., Shen, X., Pan, Y., & Wu, Y. (2009). Scholarly journal evaluation based on panel data analysis. Journal of Informetrics, 3(4), 312–320.
Abstract: This paper proposes a new method for indicator selection in panel data analysis and tests the method with relevant data on agricultural journals provided by the Institute of Scientific & Technical Information of China. An evaluation exercise by the TOPSIS method is conducted as a comparison. The result shows that panel data analysis is an effective method for indicator selection in scholarly journal evaluation; journals of different disciplines should not be evaluated with the same criteria; it is beneficial to publish all the evaluation indicators; unavailability of a few indicators has a limited influence on evaluation results; simplifying indicators can reduce costs and increase efficiency as well as accuracy of journal evaluation.
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Yu, W., & Ramanathan, R. (2009). An assessment of operational efficiency of retail firms in China. Journal of Retailing and Consumer Services, 16(2), 109–122.
Abstract: This study aims to assess operational efficiency of retail firms in China. Economic efficiencies of 61 retailers working in China between 2000 and 2003 are examined in this study using three related methodologies: data envelopment analysis (DEA), Malmquist productivity index (MPI), and a bootstrapped Tobit regression model. DEA analysis shows that only seven retail firms are considered as efficient under CRS assumption in 2002, and four firms in 2003. MPI results indicate that about 37.7 percent (23 out of 61) of retail firms have registered progress in terms of MPI during 2000 and 2003. Results of the bootstrapped Tobit analysis show that retail characteristic plays a significant role influencing retail efficiency.
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Yu, M. - M., & Lee, B. C. Y. (2009). Efficiency and effectiveness of service business: Evidence from international tourist hotels in Taiwan. Tourism Management, 30(4), 571–580.
Abstract: The aim of this paper is to propose a mathematical programming technique referred to as Hyperbolic Network Data Envelopment Analysis (HNDEA) to appraise service performance in a service industry. International tourist hotels in Taiwan are used as an example to illustrate the process. The results show that productive efficiency and service effectiveness differ across hotel businesses. Some hotels are good in terms of their production operations, while others are good in regard to their marketing operations. By identifying each competitor’s performance, in terms of productive efficiency and service effectiveness, managers can select appropriate benchmark hotels to improve their operations.
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Yu, W., Jamasb, T., & Pollitt, M. (2009). Does weather explain cost and quality performance?: An analysis of UK electricity distribution companies. Energy Policy, 37(11), 4177–4188.
Abstract: In recent years, a number of empirical studies and energy regulators have applied benchmarking techniques to measuring the efficiency and performance of network utilities. An important issue has been the extent to which the results are influenced by contextual factors. Among these, weather factors are frequently discussed as being important. We use factor analysis and two-stage data envelopment analysis techniques to examine the effect of a set of important weather factors (gale, hail, temperatures, rainfall and thunder) on the performance of electricity distribution networks in the UK. The results indicate that such factors often do not have a significant economic and statistical effect on the overall performance of the utilities. The weather parameters in some models are significant in terms of economic efficiency. The results echo our previous findings of the importance of extending the basic model to include other inputs such as total expenditure (Totex), customer minutes lost (CML) and network energy losses in regulatory benchmarking.
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Yuhua, Z., & Dongkun, L. (2009). Investment optimization in oil and gas plays. Petroleum Exploration and Development, 36(4), 535–540.
Abstract: A model was established to illustrate the relation between cumulative exploration investment and growth of total proved reserves on the basis of growth model of total proved reserves. The Data Envelopment Analysis (DEA) theory was used to give an optimal solution of the function of constructed productivity and development investment, and, together with an exponential oil & gas operational cost function, a model of the relation between development investment and oil & gas output was deduced. Based on the models of investment-exploration-development relations, and considering maximum profit, yield component, reserves-to-output ratio and production rate, an optimal function of multi-stage investment was established, which can result in multi-stage investment structure under given conditions with genetic algorithms. The method can provide scientific basis for oil companies to make a long-term strategic program and investment plan in oil and gas exploration and development, decrease the subjective blindness in the investment and bring about a reasonable and orderly exploration and development of oil and gas resources.
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Yu, M. - M., & Fan, C. - K. (2009). Measuring the performance of multimode bus transit: A mixed structure network DEA model. Transportation Research Part E: Logistics and Transportation Review, 45(3), 501–515.
Abstract: The aim of this paper is to propose a mixed structure network data envelopment analysis (MSNDEA) model which allows a representation of a parallel production serial connection of consumption processes in a unified framework and hence can be used to simultaneously estimate the production efficiency, service effectiveness and operational effectiveness of multimode transit firms. To do this, Taiwan’s bus transit system is selected for the empirical applications. The main advantages of the MSNDEA model are in contexts where internal linkage and shared inputs between activities can be considered in this model, and the model structure is more realistic than the conventional one.
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