Evaluation of the Performance and the Efficiency of Water Supply Organizations Using Data Envelopment Approach

Q3 Engineering
N. Theeb, H. Smadi, M. Obaidat
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引用次数: 0

Abstract

The main objective of this study is to use the data envelopment approach (DEA) in combination with sensitivity analysis and key performance study to evaluate the performance and efficiency of the collection works of water companies, especially in a local water company in Jordan. Constant return to scale (CCR) model is applied to ten decision-making units (DMU), where each DMU represents a geographical area. In the results, it is found that DMU3 and DMU5 are inefficient in many quarters, whereas the other DMUs, such as DMU1 and DMU2 show an efficient score in many quarters. Additionally, sensitivity analysis is used to investigate the collection if the performance becomes efficient for some inefficient DMUs. Furthermore, when linking the relative efficiency scores with the collection ratio KPI, it is found that most of the DMUs were not able to reach 100% scores for many quarters.
用数据包络法评价供水组织的绩效和效率
本研究的主要目的是利用数据包络法(DEA)结合敏感性分析和关键绩效研究来评估水务公司的收集工作的绩效和效率,特别是在约旦当地的一家水务公司。将CCR模型应用于10个决策单元(DMU),每个决策单元代表一个地理区域。在结果中,我们发现DMU3和DMU5在很多季度都是低效的,而其他的DMU1和DMU2在很多季度都是高效的。此外,灵敏度分析用于研究收集性能是否对一些低效的dmu变得有效。此外,当将相对效率得分与回收率KPI联系起来时,发现大多数dmu在许多季度都无法达到100%得分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Six Sigma and Competitive Advantage
International Journal of Six Sigma and Competitive Advantage Engineering-Industrial and Manufacturing Engineering
CiteScore
2.00
自引率
0.00%
发文量
16
期刊介绍: Today, Six Sigma is recognised in many world class organisations as an effective means of achieving and maintaining operational excellence and competitive advantage. Six Sigma has proved to be successful in many manufacturing and service organisations to drive out variability from processes, improve process effectiveness and product/service quality, reduce defect rate, enhance customer satisfaction, etc. IJSSCA publishes papers that address Six Sigma issues from the perspectives of customers, industrial engineers, business managers, management consultants, industrial statisticians and Six Sigma practitioners.
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