Sustainable-resilient-responsive supply chain with demand prediction: An interval type-2 robust programming approach

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 133, С. 108133 - 108133

Опубликована: Фев. 23, 2024

Язык: Английский

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Optimal distribution and waste management of Covid-19 vaccines from vaccination centers’ satisfaction perspective – A fuzzy time window-based VRP

Transportation Research Part E Logistics and Transportation Review, Год журнала: 2024, Номер 183, С. 103454 - 103454

Опубликована: Фев. 10, 2024

Язык: Английский

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Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges

Journal 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

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Generalized Dombi-based probabilistic hesitant fuzzy consensus reaching model for supplier selection under healthcare supply chain framework

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 133, С. 107966 - 107966

Опубликована: Фев. 6, 2024

Язык: Английский

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Fermatean fuzzy framework based on preference selection index and combined compromise solution methods for green supplier selection in textile industry

International 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

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A data-driven robust decision-making model for configuring a resilient and responsive relief supply chain under mixed uncertainty

Annals of Operations Research, Год журнала: 2024, Номер unknown

Опубликована: Май 15, 2024

Язык: Английский

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A viable supplier selection with order allocation by considering robustness, risk-averse and blockchain technology

Computers & Industrial Engineering, Год журнала: 2024, Номер 193, С. 110319 - 110319

Опубликована: Июль 1, 2024

Язык: Английский

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A hybrid machine learning-based decision-making model for viable supplier selection problem considering circular economy dimensions

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Янв. 25, 2025

Язык: Английский

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Sustainable evaluation of the raw material providers based on industry 5.0 and circular economy aspects: a new stochastic method

OPSEARCH, Год журнала: 2025, Номер unknown

Опубликована: Фев. 4, 2025

Язык: Английский

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Selection of a Suitable Healthcare Supplier Using AHP and TOPSIS Methods Hybridized in Metaheuristic Environment

SN Computer Science, Год журнала: 2025, Номер 6(2)

Опубликована: Фев. 14, 2025

Язык: Английский

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