A robust decision support leader-follower framework for design of contamination warning system in water distribution network. (20th March 2019)

• Record Type: Journal Article
• Authors: Khorshidi, Mohammad S.; Nikoo, Mohammad Reza; Ebrahimi, Elham; Sadegh, Mojtaba
• Is Part Of: Journal of cleaner production. Volume 214(2019)
• Page Start: 666
• Page End: 673
• Publication Date: 2019-03-20
• Subjects: Decision support system -- Top-down decision making structure -- Robust sensor placement optimization -- Contamination warning system -- Leader-follower game -- Conditional value-at-risk; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2019.01.010
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: In recent years, several models have been proposed to inoculate Water Distribution Systems (WDS) against impacts of accidental and/or intentional compromised water quality through optimal deployment of online monitoring sensors in the network, which is referred to as Contamination Warning Systems (CWS). Translating such modeling efforts to real-world practice is, however, a challenge as different involved parties may pursue conflicting goals and modeling-based recommendations may not justify all stakeholders' criteria. It is, hence, pivotal to develop conflict resolution methodologies to support engagement of different stakeholders in securing a safe water distribution. The decision making structure for CWS design is often of top-down nature, with the upper level decision maker concerned mainly about public safety and lower level stakeholders concerned about operational costs. In this study, a decision support framework based on Leader-Follower Game is proposed, given different power levels. Leader's objectives are focused on the CWS robustness, while followers have conflicting interests that are in turn resolved via Nash Bargaining method. Lamerd WDS (Fars, Iran) is selected to assess the proposed model's performance. The results show the proposed objective and parsimonious model provides a robust solution that complies with the leader's criteria and maximizes the followers' satisfaction. The proposed decision support system helps govern WDSs in a resilient and safe manner and warrants practical implementation of modeling-based security assurance policies to provide sustainable service to the society. Highlights: Leader-Follower Game is a formidable tool for modeling top-down decision structures. Governmental parties are involved in design of CWS for protecting WDS. The leader's outlines may act as an impasse for the follower. The followers' interests comply with leader's using the LFG decision support system.