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Journal of Industrial Engineering and Management Studies، جلد ۱۱، شماره ۱، صفحات ۱-۱۸
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عنوان انگلیسی A multi-objective mathematical model for virtual water allocation in the food industry of Khuzestan province using meta-heuristic algorithms
چکیده انگلیسی مقاله The purpose of this research is to optimize the use of water resources in dams in Khuzestan province. For this purpose, in this research, we seek to optimize the cost and time of sending water to each of the cities from the total dams in Khuzestan province. The model is solved using the deterministic epsilon constraint method and NSGA-II and MOPSO algorithms meta-heuristically. According to the results presented in this research, the water supply from the Balaroud dam to the cities of Ahvaz, Izeh, Abadan, Baghmolk, and Bandar Imam Khomeini has not been determined to be optimal. The same dam sends a certain amount of water to the cities of Andimeshk, Dezful, Shush, Shushtar and Gotvand. The results showed that NSGA-II has a more acceptable performance than the MOPSO algorithm from the point of view of three criteria, and the MOPSO algorithm has a better condition than the NSGA-II algorithm only in terms of the distance to the ideal point. In addition, according to the sensitivity analysis, it has been determined that the increase in water demand can increase the shipping time by 1.9% and the shipping cost by 60%. Therefore, the effect of water demand is more on time and not on cost. Increasing the budget can have an effect on cost and time, which of course has more effect on time than cost.
کلیدواژه‌های انگلیسی مقاله Water management of dams,optimization,Epsilon Constraint,meta-heuristic algorithm
نویسندگان مقاله Ali Roghani |
Department of Industrial Management, Faculty of Management and Economics, Research Science Branch, Islamic Azad University, Tehran, Iran

Akbar Alem Tabriz |
Department of Industrial Management and Information Technology, Management and Accounting Faculty, Shahid Beheshti University, Tehran, Iran

Mohammad Mehdi Movahedi |
Department of Industrial Management, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran

Gholam Hassan Shirdel |
Department of mathematics and computer sciences, Faculty of Sciences, University of Qom, Qom, Iran

نشانی اینترنتی https://jiems.icms.ac.ir/article_199048_5288c6109886a1e85103118669bac959.pdf
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