Identifying enablers for a circular healthcare supply chain: an integrated fuzzy DEMATEL-MMDE approach with hesitant information

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dc.contributor.authorAgrawal, Deepak
dc.contributor.authorGupta, Sumit
dc.contributor.authorDusad, Chandni
dc.contributor.authorMeena, ML
dc.contributor.authorDangayach, GS
dc.contributor.authorJagtap, Sandeep
dc.date.accessioned2025-01-23T11:10:12Z
dc.date.available2025-01-23T11:10:12Z
dc.date.freetoread2025-01-23
dc.date.issued2025-02
dc.date.pubOnline2025-01-10
dc.description.abstractOver the past decade, the healthcare industries have been facing the issue of resource scarcity due to socio-political wars, the COVID-19 pandemic, the luxury lifestyles of people, and the prevalence of single-use medical devices. The circular economy (CE) can be vital in accommodating the evolving patient and provider demands. The CE defies the conventional take-make-dispose process and advocates for optimized resource use throughout its entire lifecycle. Finding the critical enabler for a circular supply chain in the Indian healthcare sector is urgently needed because the CE is still nascent in developing nations like India. This paper identifies the enablers of a circular healthcare supply chain (CHSC) through a comprehensive analysis of cause and effect, interrelationships, and priorities using integrated alpha-level sets based on the fuzzy DEMATEL-MMDE approach with hesitant information. Experts' opinions were gathered using a triangular fuzzy linguistic scale, incorporating hesitant information to minimize data vagueness. The results of this study offer valuable insights into various enablers, emphasizing their criticality and interdependence, thereby benefiting healthcare organizations aiming to implement circular supply chains. Additionally, the findings will assist policymakers in creating policies to accelerate the adoption of CE practices in the healthcare industry.
dc.description.journalNameCleaner Engineering and Technology
dc.identifier.citationAgrawal D, Gupta S, Dusad C, et al., (2025) Identifying enablers for a circular healthcare supply chain: an integrated fuzzy DEMATEL-MMDE approach with hesitant information. Cleaner Engineering and Technology, Volume 24, February 2025, Article number 100882
dc.identifier.eissn2666-7908
dc.identifier.elementsID561726
dc.identifier.issn2666-7908
dc.identifier.paperNo100882
dc.identifier.urihttps://doi.org/10.1016/j.clet.2025.100882
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/23425
dc.identifier.volumeNo24
dc.languageEnglish
dc.language.isoen
dc.publisherElsevier
dc.publisher.urihttps://www.sciencedirect.com/science/article/pii/S2666790825000059?via%3Dihub
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject40 Engineering
dc.subject4011 Environmental Engineering
dc.subjectGeneric health relevance
dc.subject12 Responsible Consumption and Production
dc.subject4011 Environmental engineering
dc.subjectHealthcare supply chain
dc.subjectEnablers
dc.subjectCircular economy
dc.subjectDEMATEL
dc.subjectMMDE
dc.subjectFuzzy linguistic term sets
dc.subjectAlpha level sets
dc.titleIdentifying enablers for a circular healthcare supply chain: an integrated fuzzy DEMATEL-MMDE approach with hesitant information
dc.typeArticle
dc.type.subtypeJournal Article
dcterms.dateAccepted2025-01-02

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