Determining the best strategy to reduce losses in Banias water network, based on the Analytical Hierarchy Process AHP: تحديد الاستراتيجية الأفضل لتخفيف الفواقد في شبكة مياه مدينة بانياس بالاعتماد على طريقة التحليل الهرمي Analytical Hierarchy Process (AHP)

Jamelah Mouhammad Salman, Abbas Abdulrahman Jamelah Mouhammad Salman, Abbas Abdulrahman
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Abstract

The study aims to choose the best strategy for reducing Water losses in Banias City Water Distribution network, that reaches a large percentage about 65%, based on the Analytical Hierarchy Process (AHP). The strategies (alternatives), the main and secondary criteria necessary to reach the construction of the decision matrix and the development of the final strategies for the work of the Establishment in accordance with it, based on the opinions of experts in the Banias Water Establishment, in addition to references and previous studies in the field of research. The necessary questionnaire was prepared and then distributed to a group of experts (30 experts) of engineers and technicians working in Banias Water Establishment, and thus conducting comparison process between the main criteria, the sub- criteria, and the alternatives for the sub- criteria. The Expert Choice Software Which is based on AHP method, is used, and It automatically performs mathematical processes and calculates final relative weights to obtain the final decision matrix. The results showed that the strategy of dividing the network into district metered areas ranked first, with the highest rating of 27.8%, followed by the strategy of control and pressure management with 13.6%, while the strategy of replacing meters came last with 3.5%.
在水泥业中减少减少风险的战略:根据分级分析方法,确定减少巴尼亚斯市供水系统损失的最佳战略
本研究旨在根据层次分析法(AHP)选择最佳策略来减少巴尼亚斯城市供水网络的水损失,这一比例高达65%。战略(备选方案),根据Banias水务公司专家的意见,以及参考文献和以前在研究领域的研究,建立决策矩阵和根据决策矩阵制定机构工作的最终战略所必需的主要和次要标准。编写了必要的调查表,然后分发给在Banias水务公司工作的一组专家(30名专家)工程师和技术人员,从而对主要标准、次级标准和次级标准的备选方案进行比较。采用基于层次分析法的专家选择软件,自动进行数学处理,计算最终的相对权重,得到最终的决策矩阵。结果显示,将管网划分为小区计量区域的策略得票率最高,为27.8%,其次是控制和压力管理策略,得票率为13.6%,最后是更换计量策略,得票率为3.5%。
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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