Journal of Industrial and Systems Engineering

Journal of Industrial and Systems Engineering

Optimization of Dam Water Resource Allocation in Khuzestan Province using the Epsilon-Constraint Method

Document Type : Research Paper

Authors
Ali Roghani 1
Akbar Alem Tabriz 2
Mohammad Mehdi Movahedi 3
Gholam Hassan Shirdel 4
1 Department of Industrial Management, SR.C., Islamic Azad University, Tehran, Iran
2 Department of Industrial Management, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran
3 Department of Industrial Management, SR. C., Islamic Azad University, Tehran, Iran
4 Department of mathematics and computer sciences, Faculty of Sciences, University of Qom, Qom, Iran
Abstract
The present research aims to optimize the utilization of water resources from dams in Khuzestan province. To this end, this study seeks to optimize the cost and time of water delivery to each city from the total dams in Khuzestan province. The model was solved using the epsilon-constraint method. According to the results presented in the current research, water supply from Balarud Dam to the cities of Ahvaz, Izeh, Abadan, Bagh-e Malek, and Bandar Imam Khomeini was not found to be optimal. While the same dam sends a specific amount of water to the cities of Andimeshk, Dezful, Shush, Shushtar, and Gotvand. Furthermore, according to the sensitivity analysis performed, it has been determined that an increase in water demand can increase delivery time by up to 1.9% and delivery cost by up to 0.6%. Therefore, the greater effect of water demand is on time rather than cost. An increase in budget, however, can affect both cost and time, although again the effect is more on time than on cost. The next parameter is the time interval between cities and the production complex, which is expected to increase water delivery time by up to 13% with its increase, showing a relatively significant effect, while this effect on cost is less than on time.
Keywords
Dam water management
Optimization
Epsilon-constraint
Subjects
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Journal of Industrial and Systems Engineering
Volume 17, Issue 2 - Serial Number 2
Spring 2025
Pages 291-314

  • Receive Date 10 January 2024
  • Revise Date 09 March 2024
  • Accept Date 12 April 2024