PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 8, 2026Applied Sciences0 citationsOpen Access

Application of Queuing Theory in the Reliability and Risk Assessment of the Water Supply System: Case Study of the Jabal Hasouna Well-Field

AAAl-Sifao A. Al-SifaoNPNikola V. PetrovićRJRadiša Ž. Jovanović

Key Points

  • The aim is to evaluate the reliability and risk of the water supply system for the Great Man-Made River Project.
  • Analyzed historical performance data of the water supply system.
  • Developed a finite-source, multi-server queuing model for reliability calculation.
  • Assessed different system configurations using risk scores derived from reliability parameters.
  • Identified two configurations that meet all performance and risk criteria.
  • Both configurations needed fewer resources than the original design, specifically requiring up to seven fewer spare pumps.

Abstract

To address water shortages, Libya has undertaken one of the most significant global civil infrastructure projects, the Great Man-Made River Project, aimed at transporting groundwater from southern well-fields to densely populated northern cities. The second phase of the project consisted of installing the water supply system, which comprises 479 well pumps, united to deliver around 2 million cubic meters of water to the north. Historical performance data for the water supply system were analyzed, and a model for the system’s reliability calculation was developed: a finite-source, multi-server queuing system with spares (M/M/c//N/Y). The model enabled the analytical calculation of the system’s reliability in different configurations. Each configuration was assessed using a unique risk score, defined as the product of reliability-based parameters and the consequences associated with water-shortage events resulting from system failures. The analysis identified two alternative configurations that satisfy all predefined performance and risk criteria. Both configurations require fewer resources than the original system design, with up to seven fewer spare pumps, allowing for decision-makers to select the most appropriate option based on additional operational and contextual considerations.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Al-Sifao et al. (2026) studied this question.

synapsesocial.com/papers/6988278b0fc35cd7a88466a2https://doi.org/10.3390/app16031608
Ask AI
Helpful
Bookmark
Share
View Full Paper