Impact analysis of COVID-19 outbreak on cold supply chains of perishable products using a SWARA based MULTIMOORA approach
| dc.contributor.author | Neeraj Kumar | |
| dc.contributor.author | Mohit S. Tyagi | |
| dc.contributor.author | Anish Kumar Sachdeva | |
| dc.contributor.author | Yigit Kazancoglu | |
| dc.contributor.author | Mangey Ram | |
| dc.contributor.author | Ram, Mangey | |
| dc.contributor.author | Tyagi, Mohit | |
| dc.contributor.author | Kumar, Neeraj | |
| dc.contributor.author | Sachdeva, Anish | |
| dc.contributor.author | Kazancoglu, Yigit | |
| dc.date.accessioned | 2025-10-06T17:49:48Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | The present study aims to analyze the impact of the COVID-19 outbreak resulting in Cold Supply Chain (CSC) disruptions and shed new light on the potential opportunities yielded from the pandemic. In addition the work also aims to explore the most appropriate strategies to minimize CSC disruption due to the COVID-19 outbreak and to repurpose to create conditions as they were before the pandemic. The impact of the COVID-19 outbreak on CSCs has been analyzed theoretically and empirically considering seven broader assessment criteria. To diminish the disruption due to COVID-19 eight of the most appropriate remedial strategies have been proposed in this study. A new hierarchical model was developed to articulate the analysis and consolidate various issues pertinent to CSC disruption caused by COVID-19 in one frame. The developed model was analyzed using a hybrid approach of SWARA-based MULTIMOORA methods. The SWARA method has been used to analyze the significance of considered assessment criteria while the MULTIMOORA method has been used to analyze the mutual importance of proposed strategies. The findings of this paper show that ‘structural impact’ and ‘business and financial impact’ are the two most affected traits of CSC during the COVID-19 pandemic throughout the world. Meanwhile the strategies ‘development of safe and healthier work scenario for partners of the cold chain’ and ‘successful monitoring and implementation of COVID-19 protocols’ are the two most important proposed strategies that might help management to mitigate the influence of the COVID-19 outbreak on CSCs. Findings of this research enable CSC managers and policy-makers to develop potential and robust plans for their operations to respond to disruptive situations like COVID-19 and turn them into opportunities for organizational growth and improving the health of society. © 2022 Elsevier B.V. All rights reserved. | |
| dc.description.sponsorship | UK Research and Innovation, UKRI, (103517) | |
| dc.identifier.doi | 10.1007/s12063-022-00289-1 | |
| dc.identifier.issn | 19369743, 19369735 | |
| dc.identifier.issn | 1936-9735 | |
| dc.identifier.issn | 1936-9743 | |
| dc.identifier.scopus | 2-s2.0-85132807531 | |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132807531&doi=10.1007%2Fs12063-022-00289-1&partnerID=40&md5=a2f2df271b8c04a19b8604d6ca0385f0 | |
| dc.identifier.uri | https://gcris.yasar.edu.tr/handle/123456789/8637 | |
| dc.identifier.uri | https://doi.org/10.1007/s12063-022-00289-1 | |
| dc.language.iso | English | |
| dc.publisher | Springer | |
| dc.relation.ispartof | Operations Management Research | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.source | Operations Management Research | |
| dc.subject | Cold Supply Chain, Covid-19 Pandemic, Food Products, Multimoora Method, Pharmaceutical Products, Swara Method | |
| dc.subject | Pharmaceutical Products | |
| dc.subject | Food Products | |
| dc.subject | Cold Supply Chain | |
| dc.subject | SWARA Method | |
| dc.subject | COVID-19 Pandemic | |
| dc.subject | MULTIMOORA Method | |
| dc.title | Impact analysis of COVID-19 outbreak on cold supply chains of perishable products using a SWARA based MULTIMOORA approach | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| gdc.author.id | Kazancoglu, Yigit/0000-0001-9199-671X | |
| gdc.author.id | Ram, Mangey/0000-0002-8221-092X | |
| gdc.author.id | Sachdeva, Anish/0000-0002-7884-9982 | |
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| gdc.author.wosid | Sachdeva, Anish/Q-9029-2016 | |
| gdc.author.wosid | Kumar, Neeraj/JUV-5417-2023 | |
| gdc.author.wosid | Ram, Mangey/B-8214-2012 | |
| gdc.author.wosid | Kazancoglu, Yigit/E-7705-2015 | |
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| gdc.description.departmenttemp | [Kumar, Neeraj; Tyagi, Mohit; Sachdeva, Anish] Dr BR Ambedkar Natl Inst Technol, Dept Ind & Prod Engn, Jalandhar, Punjab, India; [Kazancoglu, Yigit] Yasar Univ, Dept Logist Management, Izmir, Turkey; [Ram, Mangey] Graph Era Deemed Univ, Dept Math Comp Sci & Engn, Dehra Dun, Uttarakhand, India; [Ram, Mangey] Peter Great St Petersburg Polytech Univ, Dept Math Comp Sci & Engn, Inst Adv Mfg Technol, St Petersburg, Russia | |
| gdc.description.endpage | 1314 | |
| gdc.description.issue | 3-4 | |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| gdc.description.startpage | 1290 | |
| gdc.description.volume | 15 | |
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| gdc.virtual.author | Kazançoğlu, Yiğit | |
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| person.identifier.scopus-author-id | Kumar- Neeraj (58733542500), Tyagi- Mohit S. (56102678200), Sachdeva- Anish Kumar (24537822600), Kazancoglu- Yigit (15848066400), Ram- Mangey (55482383400) | |
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