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首页> 外文期刊>Journal of Quality Measurement and Analysis: JQMA >NETWORK DATA ENVELOPMENT ANALYSIS AS INSTRUMENT FOR EVALUATING WATER UTILITIES' PERFORMANCE
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NETWORK DATA ENVELOPMENT ANALYSIS AS INSTRUMENT FOR EVALUATING WATER UTILITIES' PERFORMANCE

机译：网络数据包络分析作为评估水实用程序性能的仪器

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摘要

Measuring the water sector performance is essential in improving the quality of water supply services. Commonly, many countries have used performance indicators to benchmark the efficiency and effectiveness of their water management. One of the important performance indicators in determining the efficiency of water utility is to look at their ability to reduce the Non-Revenue Water level or more commonly known as NRW. The percentage of NRW indicates the level of water leakage experienced and can also be classified as undesirable output in the water supply system. On the other hand, Data Envelopment Analysis (DEA) has been widely applied as the instrument to measure water sector performance, but only as a single process or so-called black-box analysis. Since the production of water supply services can be expressed as a two-stage network process, this study attempts to use the Network Data Envelopment Analysis (NDEA) to measure water sector performance. One of DEA model variations is Slack-based Measure (SBM) model, where is subsequently been expanded to the network structure (Network Slack-based Measure, NSBM). This study was undertaken to apply the NSBM model incorporating the undesirable outputs to measure the efficiency, then, proposed as a new performance indicator and can also be used for the benchmarking of the water utilities specifically for Malaysian water industry. From this study, not only the overall performance of each water utility, but also which process should be the focus for those inefficient water utilities can be determined.
机译：测量水部门的性能对于提高供水服务质量至关重要。通常，许多国家使用绩效指标来基准其水管理的效率和有效性。确定水效用效率的重要表现指标之一是看他们减少非收入水位或更常见的NRW的能力。 NRW的百分比表示经验丰富的漏水水平，也可以在供水系统中被归类为不希望的输出。另一方面，数据包络分析（DEA）已被广泛应用于仪器以测量水部门的性能，但仅作为单一过程或所谓的黑箱分析。由于供水服务的生产可以表达为两级网络过程，因此该研究试图使用网络数据包络分析（NDEA）来测量水部门性能。 DEA模型变体之一是基于SLACK的度量（SBM）模型，随后随后扩展到网络结构（基于网络SLACK的度量，NSBM）。本研究采用了纳入不良产出的NSBM模型来衡量效率，然后提出作为新的绩效指标，也可用于专门针对马来西亚水工业的水公用事业的基准测试。从这项研究中，不仅可以确定每种水效用的整体性能，还可以确定哪种过程应该是那些低效的水公用事业的重点。

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