Process Integration and Optimization for Sustainability, Год журнала: 2025, Номер unknown
Опубликована: Янв. 18, 2025
Язык: Английский
Process Integration and Optimization for Sustainability, Год журнала: 2025, Номер unknown
Опубликована: Янв. 18, 2025
Язык: Английский
Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 133, С. 108133 - 108133
Опубликована: Фев. 23, 2024
Язык: Английский
Процитировано
22Transportation Research Part E Logistics and Transportation Review, Год журнала: 2024, Номер 183, С. 103454 - 103454
Опубликована: Фев. 10, 2024
Язык: Английский
Процитировано
18Journal Of Big Data, Год журнала: 2024, Номер 11(1)
Опубликована: Май 6, 2024
Abstract The United Nations’ 17 Sustainable Development Goals stress the importance of global and local efforts to address inequalities implement sustainability. Addressing complex, interconnected sustainability challenges requires a systematic, interdisciplinary approach, where technology, AI, data-driven methods offer potential solutions for optimizing resources, integrating different aspects sustainability, informed decision-making. Sustainability research surrounds various local, regional, challenges, emphasizing need identify emerging areas gaps AI models play crucial role. study performs comprehensive literature survey scientometric semantic analyses, categorizes problems, discusses sustainable use big data. outcomes analyses highlight collaborative inclusive that bridges regional differences, interconnection topics, major themes related It further emphasizes significance developing hybrid approaches combining techniques, expert knowledge multi-level, multi-dimensional Furthermore, recognizes necessity addressing ethical concerns ensuring data in research.
Язык: Английский
Процитировано
17Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 133, С. 107966 - 107966
Опубликована: Фев. 6, 2024
Язык: Английский
Процитировано
16International Journal of Systems Science Operations & Logistics, Год журнала: 2024, Номер 11(1)
Опубликована: Фев. 22, 2024
This work aims to enhance the efficiency and dependability of green supplier selection process by developing a decision support tool. Thereby, novel fuzzy group multi-criteria decision-making approach based on Preference Selection Index (PSI) Combined Compromise Solution (CoCoSo) methods under Fermatean Fuzzy (FF) environment for is proposed. The primary novelties contributions are: (i) first time, FF-PSI model developed extract priority weight values criteria, (ii) an improved FF-CoCoSo methodology proposed, FF-PSI-CoCoSo framework offered resolving challenging real-life problems. To present framework's practicality, real-case study evaluating six suppliers concerning nine drives economics, environmental, technological aspects in textile company Turkey conducted. results indicate that "green warehousing" most essential driver suppliers, followed "recycling" "damaged product ratio." A detailed sensitivity comparison check further conducted display solidity effectiveness proposed framework. suggested offers reliable solution precise sustainable rating suppliers. Moreover, it can be addressed solve various real-world
Язык: Английский
Процитировано
14Annals of Operations Research, Год журнала: 2024, Номер unknown
Опубликована: Май 15, 2024
Язык: Английский
Процитировано
10Computers & Industrial Engineering, Год журнала: 2024, Номер 193, С. 110319 - 110319
Опубликована: Июль 1, 2024
Язык: Английский
Процитировано
10Environment Development and Sustainability, Год журнала: 2025, Номер unknown
Опубликована: Янв. 25, 2025
Язык: Английский
Процитировано
1OPSEARCH, Год журнала: 2025, Номер unknown
Опубликована: Фев. 4, 2025
Язык: Английский
Процитировано
1SN Computer Science, Год журнала: 2025, Номер 6(2)
Опубликована: Фев. 14, 2025
Язык: Английский
Процитировано
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