Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/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
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ISSN | 1735-1472 |
EISSN | 1735-2630 |
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 |
推荐引用方式 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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