 Application of Big Data Analytics in Supply Chain Management to Mitigate Pandemic RiskK Jnaneswar and
Zahwa Shirin
Post-Print from HAL Abstract: The majority of industry executives and policymakers are looking for effective strategies and policies to revamp manufacturing patterns and meet market demand. Most transportation links and distribution systems between manufacturers, production facilities, and consumers have been disrupted by the COVID-19 pandemic. The complexities of production and operations management in pandemic circumstances and policy solutions for enhancing the system's stability and sustainability are adequately proposed in this paper. The research employs both main and secondary data sets. Secondary data was gathered through a comprehensive online search that turned up important articles and publications; data was then collected and analysed to better understand the current supply chain situation. It is found that pandemic has caused a major destruction in the supply chain management like transportation barriers, decreased demands, lack of labour, import export barriers, improper inventory management etc. The organizations that used big data analytics to make proper decisions, optimisation purposes has overcome the situation to an extent. Date: 2021-08-18 Published in Asian Journal of Economics, Finance and Management , 2021, 3 (1), pp.484-490 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05188126 Access Statistics for this paper More papers in Post-Print from HAL |
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