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A Scenario-based Interval Multi-objective Mixed-integer Programming Model for a Water Supply Problem: An Integrated AHP Technique

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Abstract

Rapid population growth, industrialization, and lifestyle modernization all increase water demand. However, water supplies are dramatically decreasing due to declining and irregular precipitation and the excessive use and deterioration of existing resources. This situation places tremendous pressure on decision-makers, who must implement plans to create new water supplies in regions likely to experience water shortages in the future. Deciding which projects to implement among various alternatives is challenging with a limited budget. This study aims to create a feasible strategic plan to select the most suitable alternative projects by proposing a multi-objective mixed-integer programming approach to the water supply problem. Considering several criteria, including chance of success, ease of application, nature-friendliness, and project prestige level, the proposed model is integrated using the analytical hierarchical process technique. Decision-makers’ views of the project alternatives are reflected by weights in the model. Also, interval numbers represent the costs of alternatives to handle the problem more realistically. A real-life situation is simulated under various scenarios to test the proposed model. The results show that the proposed integrated model generates more applicable solutions than a classic multi-objective optimization model.

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The data generated and used in this study will be available upon reasonable request from the corresponding author.

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Authors and Affiliations

  1. Department of Construction Technology, Van Vocational School of Higher Education, Van Yuzuncu Yil University, Van, Turkey

    Nadire Ucler

  2. Department of Mathematic Engineering, Faculty of Chemistry-Metallurgy Engineering, Yildiz Technical University, Istanbul, Turkey

    Hale Gonce Kocken

Authors
  1. Nadire Ucler
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  2. Hale Gonce Kocken
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All authors (N. Ucler and H. Gonce Kocken) contributed to the study conception, design, data analysis, and manuscript.

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Correspondence to Nadire Ucler.

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Ucler, N., Gonce Kocken, H. A Scenario-based Interval Multi-objective Mixed-integer Programming Model for a Water Supply Problem: An Integrated AHP Technique. Water Resour Manage 37, 5973–5988 (2023). https://doi.org/10.1007/s11269-023-03638-2

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  • DOI: https://doi.org/10.1007/s11269-023-03638-2

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