Arid
DOI10.1007/s13762-022-04743-2
Application of NSGA-II and fuzzy TOPSIS to time-cost-quality trade-off resource leveling for scheduling an agricultural water supply project
Sadeghi, R.; Heidari, A.; Zahedi, F.; Khordehbinan, M. W.; Khalilzadeh, M.
通讯作者Khalilzadeh, M
来源期刊INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
ISSN1735-1472
EISSN1735-2630
出版年2023
卷号20期号:10页码:10633-10660
英文摘要Access to sufficient and safe water particularly in vulnerable countries is one of the most important goals targeted by the United Nations for 2030. The agricultural water supply is crucial in arid areas such as Iran. In water supply projects, employers usually seek less duration and cost, and higher quality, however, contractors seek a reduction of fluctuations in project resources, especially human resources, and these goals may be in conflict with each other. Therefore, finding an optimal project schedule considering different project objectives is vital for managers to achieve stakeholders' satisfaction. In this study, the four main project objectives including time, cost, quality, and resource leveling as well as the activity dependencies and resource constraints are addressed through fuzzy optimization. The proposed model was first implemented on a small-sized project instance for validation; then, the model was solved by the Nondominated Sorting Genetic (NSGA-II) and Multi-objective Particle Swarm Optimization algorithms using the information of a real-world agricultural water supply project. The results of the first Pareto set for different alpha-cuts in relation to the fuzzy quality factor show a set of solutions and different alternatives for project implementation which leads to a number of execution modes each of which may result in achieving the project objectives. Finally, the most ideal solution with a duration of 178 days was selected using the fuzzy TOPSIS method. The findings demonstrate the validity of the proposed model concerning the needs of agricultural water supply organizations.
英文关键词Sustainable development Agricultural water management Project schedule management Augmented epsilon constraint Metaheuristic algorithms Multi-criteria decision-making method
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000917368600001
WOS关键词DISCRETE-TIME ; OPTIMIZATION ; ALGORITHM ; MODES ; FLOW
WOS类目Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/396994
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GB/T 7714
Sadeghi, R.,Heidari, A.,Zahedi, F.,et al. Application of NSGA-II and fuzzy TOPSIS to time-cost-quality trade-off resource leveling for scheduling an agricultural water supply project[J],2023,20(10):10633-10660.
APA Sadeghi, R.,Heidari, A.,Zahedi, F.,Khordehbinan, M. W.,&Khalilzadeh, M..(2023).Application of NSGA-II and fuzzy TOPSIS to time-cost-quality trade-off resource leveling for scheduling an agricultural water supply project.INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY,20(10),10633-10660.
MLA Sadeghi, R.,et al."Application of NSGA-II and fuzzy TOPSIS to time-cost-quality trade-off resource leveling for scheduling an agricultural water supply project".INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY 20.10(2023):10633-10660.
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