Advanced systemic decision process for multi-perspective in pipe management

Name: Manatsawee Nawik.

LCSH: Kasetsart University -- Dissertations. Ph.D. (Water Resources Engineering) 2023.

Classification :.LCCS: TD495

LCSH: Kasetsart University. -- Department of Water Resources Engineering -- Dissertations.

LCSH: Water leakage -- Management.

LCSH: Water-pipes.

LCSH: Water -- Distribution.

Abstract: This study aims to enhance the decision-making process within water pipe management by establishing a systematic mechanism. The primary focus is on developing an advanced pipe management system that operates efficiently within resource constraints, particularly emphasizing water loss management. The methodology employed entails the calculation of two pivotal indices: the Risk Index (RI) and the Infrastructure Value Index (IVI). These indices are derived from risk assessment and asset valuation, incorporating factors such as pipe age, length, historical leak points, and the ratio of current infrastructure value to replacement cost. Additionally, the Area Characteristic Index (ACI) indicates physical condition, accounting for the impact of the District Metering Area (DMA) on pipe replacement management. The decision-making process is constructed by integrating RI, IVI, and ACI, encompassing various perspectives. The resultant output yields a novel index termed the Modified Risk-Value Index (MRVI), utilized for prioritizing pipe routes and a Decision Matrix Guideline for pipe management. The advanced decision process integrates Machine Learning (ML) techniques for RI prediction and determining suitable measures for each DMA. The findings indicate that the Random Forest regression model effectively predicts RI values, while the Random Forest Classification model outperforms other algorithms in suggesting appropriate measures for pipe management. Moreover, both local and global datasets are employed for testing and training data, with distinctions in their application; the local dataset is suitable for DMA-specific pipe replacement implementation, whereas the global dataset is conducive to strategic management purposes. The developed process is validated through application to the Bang Bua Thong branch office, exhibiting the highest percentage of water loss among Metropolitan Waterworks Authority (MWA) branches. Results indicate the pipe replacement plan for over 60 percent of cases, using the conventional MWA approach, is inappropriate. Regarding budget utilization and prioritization of pipes requiring replacement, this new advanced systemic decision process, consisting of MRVI and Decision Matrix Guideline, should be initiatively considered for future pipe management.

Kasetsart University. Office of the University Library

Address: Bangkok

Email: tdckulib@ku.ac.th

Name: Suwatana Chittaladakorn

Role: Thesis Advisor

Name: Sitang Pilailar

Role: Thesis Co-Advisor

Created: 2023

Modified: 2025-06-24

Issued: 2025-06-24

วิทยานิพนธ์/Thesis

วิทยานิพนธ์/Thesis

application/pdf

URL: http://www.lib.ku.ac.th/KUthesis/2566/manatsawee-nawi-all.pdf

CallNumber: TD495.M36

eng

DegreeName: Doctor of Philosophy

Level: Doctoral Degree

Descipline: Water Resources Engineering

Grantor: Kasetsart University

©copyrights Kasetsart University

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