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A Decision Model for Identifying and Solving Problems in an Urban Water Supply System

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  • Madson Bruno da Silva Monte

    (Universidade Federal de Pernambuco
    UFAL – Universidade Federal de Alagoas)

  • Danielle Costa Morais

    (Universidade Federal de Pernambuco)

Abstract

Water supply systems in urban areas may become deficient due to increasing demand, which accompanies population growth but is further jeopardized by equipment aging and problems related to maintenance management. Moreover, operating the system involves a large number of issues that a decision-maker must address simultaneously. Therefore, the use of tools to aid the decision process is quite relevant in providing a better understanding of the problem and to generate a recommendation that better meets the wishes of the decision-maker. This study presents a model based on the value-focused thinking approach, requiring only partial information in the multi-attribute analysis by using linear value functions and FITradeoff, entailing less effort to achieve the ideal alternative. The model was applied to the operations manager of the water supply company in the central region of Olinda in the state of Pernambuco, Brazil. Consequently, the model yielded a deep analysis of the manager’s reasoning, which was transcribed through the objective’s hierarchy, and reached a solution to the problems of the local water supply system.

Suggested Citation

  • Madson Bruno da Silva Monte & Danielle Costa Morais, 2019. "A Decision Model for Identifying and Solving Problems in an Urban Water Supply System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(14), pages 4835-4848, November.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:14:d:10.1007_s11269-019-02401-w
    DOI: 10.1007/s11269-019-02401-w
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    References listed on IDEAS

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    2. Khalil Ardeshirtanha & Ahmad Sharafati, 2020. "Assessment of Water Supply Dam Failure Risk: Development of New Stochastic Failure Modes and Effects Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(5), pages 1827-1841, March.
    3. Marques, Adriana Cavalcante & Frej, Eduarda Asfora & de Almeida, Adiel Teixeira, 2022. "Multicriteria decision support for project portfolio selection with the FITradeoff method," Omega, Elsevier, vol. 111(C).
    4. Lucia Reis Peixoto Roselli & Adiel Teixeira Almeida, 2022. "Use of the Alpha-Theta Diagram as a decision neuroscience tool for analyzing holistic evaluation in decision making," Annals of Operations Research, Springer, vol. 312(2), pages 1197-1219, May.
    5. Lucas Borges Leal Da Silva & Evanielle Barbosa Ferreira & Rodrigo José Pires Ferreira & Eduarda Asfora Frej & Lucia Reis Peixoto Roselli & Adiel Teixeira De Almeida, 2023. "Paradigms, Methods, and Tools for Multicriteria Decision Models in Sustainable Industry 4.0 Oriented Manufacturing Systems," Sustainability, MDPI, vol. 15(11), pages 1-27, May.
    6. Adiel Teixeira Almeida & Eduarda Asfora Frej & Lucia Reis Peixoto Roselli, 2021. "Combining holistic and decomposition paradigms in preference modeling with the flexibility of FITradeoff," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(1), pages 7-47, March.
    7. Alexandra Roeger & António F. Tavares, 2020. "Do Governance Arrangements Affect the Voluntary Adoption of Water Safety Plans? An Empirical Study of Water Utilities in Portugal," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(5), pages 1757-1772, March.

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