Development of Maintenance Management Model for Enhancing Availability Performance of Water Supply Intake Infrastructures

Read full text
Authors: Said Mrindoko, Dickson Kasese Gidion
Cited by: 0

Abstract

Water intake infrastructure are important to the reliability of water services. However, their operational availability is often compromised by inadequate maintenance, especially within developing regions. This work proposes and validates a maintenance management model for improving the availability performance of water intake infrastructures, taking the case study of Moshi Urban Water Supply and Sanitation Authority, Tanzania. A mixed-methods design that combined qualitative insights from staff interviews with quantitative data on maintenance performance was used. RII analysis highlighted the key impacting factors that determine performance as: construction quality, RII = 0.916; poor intake design, RII = 0.904; and absence of a budget for preventive maintenance, RII = 0.832. Multiple regression analysis, which quantified the contributions of these factors, has determined that construction quality and the effectiveness of screening enhance availability positively, whereas poor design, infrastructure ageing, flood and inadequacies in maintenance budgets have substantial negative impacts. In this respect, the ensuing regression model has been validated to have a high average predictive accuracy of 97.64%, hence robust enough. The study concluded that shifting from the current reactive to a proactive or data-driven maintenance strategy is imperative. It recommends institutionalising preventive maintenance, integrating the model into a Computerised Maintenance Management System, and raising construction standards to significantly enhance the availability, reliability and sustainability of water supply services within Tanzania and similar contexts

Fields of Study & Subjects

Reliability and Maintenance Optimization Water Systems and Optimization Power System Reliability and Maintenance

Publication details

Journal / source
East African Journal of Engineering
Volume
9
Issue
1
Pages
143–157
Publication date
16 February 2026
Language
EN