Managing panic buying-related instabilities in supply chains: A COVID-19 pandemic perspective. Issue 10 (2022)

• Record Type: Journal Article
• Authors: Rahman, Towfique; Paul, Sanjoy Kumar; Shukla, Nagesh; Agarwal, Renu; Taghikhah, Firouzeh
• Is Part Of: IFAC-PapersOnLine. Volume 55:Issue 10(2022)
• Page Start: 305
• Page End: 310
• Publication Date: 2022
• Subjects: Supply chain -- COVID-19 pandemic -- panic buying -- mitigation -- agent-based modeling; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2022.09.405
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Global supply chains (SCs) have been severely impacted by the COVID-19 pandemic on several levels. For example, SCs suffered from panic buying-related instabilities and multiple disruptions of supply, demand, and capacity during the pandemic. This study developed an agent-based model (ABM) to predict the effects of panic buying-related instabilities in SCs and offered strategies to improve them. The ABM model includes a simulation and optimization model of a typical SC of an essential product manufacturer (i.e., toilet paper SC) for the analysis of scenarios and strategies to observe improvements in SCs. Among the four strategies identified, the findings suggest boosting production capacity to the maximum and ensuring optimal reorder points, order sizes, and trucks helped the essential product manufacturers reduce panic buying-related instabilities in their SCs.