IMPROVING SUPPLY CHAIN RESILIENCE THROUGH METHODS OF FAST ADAPTATION TO SUDDEN DEMAND SHIFTS IN THE TIME OF CRISIS

Petr Tulach () and Pavel Foltin
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Petr Tulach: LOGIO; Department of Logistics, Faculty of Military Leadership, University of Defence in Brno, Czech Republic
Pavel Foltin: Department of Logistics, Faculty of Military Leadership, University of Defence in Brno, Czech Republic

Business Logistics in Modern Management, 2020, vol. 20, 165-179

Abstract: Supply chain resilience is a topic long discussed, however, spread of the newly emerged COVID-19 virus pandemic in 2020 and subsequent application of measures to deal with it had strong impact on supply chains. One of the challenges of 2020, which companies had to face, was a sudden change in demand. While commonly known forecasting methods are able to estimate demand that behaves according to the historical experience, need for different approach to sudden shifts in demand both up and down, arose. Research into comparison of such methods was carried out and they were tested on data from the outbreak of COVID-19 virus pandemic crisis in the Czech Republic, when applied measures and concerns of people caused a significant change that had impact on the demand for various goods.

Keywords: supply chain; supply chain resilience; demand forecasting; Covid-19; mean absolute percentage error (MAPE) (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:osi:bulimm:v:20:y:2020:p:165-179

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