Supply chain agility: An imperative in an unpredictable world

Terence Leung
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Terence Leung: Blue Yonder, USA

Journal of Supply Chain Management, Logistics and Procurement, 2020, vol. 3, issue 2, 129-137

Abstract: The COVID-19 pandemic has only confirmed what we already knew: modern supply chains must be built on a foundation of extreme agility and responsiveness. Fortunately, advanced technologies are making it easier for the supply chain to consider real-time data as conditions change, perform predictive analysis and react immediately, often with little to no human intervention. This paper discusses how companies can work with their trading partners to achieve profitable agility across their end-to-end supply networks, no matter what the future holds. It posits that they can do this by leveraging advanced technologies such as artificial intelligence, machine learning and predictive analytics.

Keywords: COVID-19; modern supply chains; advanced technologies; real-time data; predictive analysis; advanced technologies; artificial intelligence; machine learning; predictive analytics (search for similar items in EconPapers)
JEL-codes: L23 M11 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:aza:jscm00:y:2020:v:3:i:2:p:129-137

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