A Neutrosophic Fuzzy Optimisation Model for Optimal Sustainable Closed-Loop Supply Chain Network during COVID-19

In this paper, a sustainable closed-loop supply chain problem is modelled in conditions of uncertainty. Due to the COVID-19 pandemic situation, the designed supply chain network seeks to deliver medical equipment to hospitals on time within a defined time window to prevent overcrowding and virus tra...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Agnieszka Szmelter-Jarosz, Javid Ghahremani-Nahr, Hamed Nozari
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	closed-loop supply chain network sustainability uncertainty fuzzy neutrosophic COVID-19 pandemic Risk in industry. Risk management HD61 Finance HG1-9999
Acceso en línea:	https://doaj.org/article/34aeb1994df143988fbcc560d8a51b45
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:34aeb1994df143988fbcc560d8a51b45
record_format	dspace
spelling	oai:doaj.org-article:34aeb1994df143988fbcc560d8a51b452021-11-25T18:08:31ZA Neutrosophic Fuzzy Optimisation Model for Optimal Sustainable Closed-Loop Supply Chain Network during COVID-1910.3390/jrfm141105191911-80741911-8066https://doaj.org/article/34aeb1994df143988fbcc560d8a51b452021-11-01T00:00:00Zhttps://www.mdpi.com/1911-8074/14/11/519https://doaj.org/toc/1911-8066https://doaj.org/toc/1911-8074In this paper, a sustainable closed-loop supply chain problem is modelled in conditions of uncertainty. Due to the COVID-19 pandemic situation, the designed supply chain network seeks to deliver medical equipment to hospitals on time within a defined time window to prevent overcrowding and virus transmission. In order to achieve a suitable model for designing a sustainable closed-loop supply chain network, important decisions such as locating potential facilities, optimal flow allocation, and vehicle routing have been made to prevent the congestion of vehicles and transmission of the COVID-19 virus. Since the amount of demand in hospitals for medical equipment is unknown, the fuzzy programming method is used to control uncertain demand, and to achieve an efficient solution to the decision-making problem, the neutrosophic fuzzy method is used. The results show that the designed model and the selected solution method (the neutrosophic fuzzy method) have led to a reduction in vehicle traffic by meeting the uncertain demand of hospitals in different time windows. In this way, both the chain network costs have been reduced and medical equipment has been transferred to hospitals with social distancing.Agnieszka Szmelter-JaroszJavid Ghahremani-NahrHamed NozariMDPI AGarticleclosed-loop supply chain networksustainabilityuncertaintyfuzzy neutrosophicCOVID-19pandemicRisk in industry. Risk managementHD61FinanceHG1-9999ENJournal of Risk and Financial Management, Vol 14, Iss 519, p 519 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	closed-loop supply chain network sustainability uncertainty fuzzy neutrosophic COVID-19 pandemic Risk in industry. Risk management HD61 Finance HG1-9999
spellingShingle	closed-loop supply chain network sustainability uncertainty fuzzy neutrosophic COVID-19 pandemic Risk in industry. Risk management HD61 Finance HG1-9999 Agnieszka Szmelter-Jarosz Javid Ghahremani-Nahr Hamed Nozari A Neutrosophic Fuzzy Optimisation Model for Optimal Sustainable Closed-Loop Supply Chain Network during COVID-19
description	In this paper, a sustainable closed-loop supply chain problem is modelled in conditions of uncertainty. Due to the COVID-19 pandemic situation, the designed supply chain network seeks to deliver medical equipment to hospitals on time within a defined time window to prevent overcrowding and virus transmission. In order to achieve a suitable model for designing a sustainable closed-loop supply chain network, important decisions such as locating potential facilities, optimal flow allocation, and vehicle routing have been made to prevent the congestion of vehicles and transmission of the COVID-19 virus. Since the amount of demand in hospitals for medical equipment is unknown, the fuzzy programming method is used to control uncertain demand, and to achieve an efficient solution to the decision-making problem, the neutrosophic fuzzy method is used. The results show that the designed model and the selected solution method (the neutrosophic fuzzy method) have led to a reduction in vehicle traffic by meeting the uncertain demand of hospitals in different time windows. In this way, both the chain network costs have been reduced and medical equipment has been transferred to hospitals with social distancing.
format	article
author	Agnieszka Szmelter-Jarosz Javid Ghahremani-Nahr Hamed Nozari
author_facet	Agnieszka Szmelter-Jarosz Javid Ghahremani-Nahr Hamed Nozari
author_sort	Agnieszka Szmelter-Jarosz
title	A Neutrosophic Fuzzy Optimisation Model for Optimal Sustainable Closed-Loop Supply Chain Network during COVID-19
title_short	A Neutrosophic Fuzzy Optimisation Model for Optimal Sustainable Closed-Loop Supply Chain Network during COVID-19
title_full	A Neutrosophic Fuzzy Optimisation Model for Optimal Sustainable Closed-Loop Supply Chain Network during COVID-19
title_fullStr	A Neutrosophic Fuzzy Optimisation Model for Optimal Sustainable Closed-Loop Supply Chain Network during COVID-19
title_full_unstemmed	A Neutrosophic Fuzzy Optimisation Model for Optimal Sustainable Closed-Loop Supply Chain Network during COVID-19
title_sort	neutrosophic fuzzy optimisation model for optimal sustainable closed-loop supply chain network during covid-19
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/34aeb1994df143988fbcc560d8a51b45
work_keys_str_mv	AT agnieszkaszmelterjarosz aneutrosophicfuzzyoptimisationmodelforoptimalsustainableclosedloopsupplychainnetworkduringcovid19 AT javidghahremaninahr aneutrosophicfuzzyoptimisationmodelforoptimalsustainableclosedloopsupplychainnetworkduringcovid19 AT hamednozari aneutrosophicfuzzyoptimisationmodelforoptimalsustainableclosedloopsupplychainnetworkduringcovid19 AT agnieszkaszmelterjarosz neutrosophicfuzzyoptimisationmodelforoptimalsustainableclosedloopsupplychainnetworkduringcovid19 AT javidghahremaninahr neutrosophicfuzzyoptimisationmodelforoptimalsustainableclosedloopsupplychainnetworkduringcovid19 AT hamednozari neutrosophicfuzzyoptimisationmodelforoptimalsustainableclosedloopsupplychainnetworkduringcovid19
_version_	1718411551653756928

A Neutrosophic Fuzzy Optimisation Model for Optimal Sustainable Closed-Loop Supply Chain Network during COVID-19

Ejemplares similares