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Cash flow dynamics in the supply chain during and after disruptions

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  • Ivanov, Dmitry

Abstract

Supply chain resilience and the ripple effect have been widely studied, mostly focusing on material flow-related practices. The financial flow adjustments to cope with supply chain disruptions have received much less attention. We contribute to the literature by examining the impact of adapting payment terms during and after disruptions. In particular, we perform a discrete event simulation analysis in anyLogistix for a complex supply chain network to investigate the impact of adjusting payment terms on supply chain cash flows. Our results suggest that collaboratively adjusting payment terms is an effective strategy for coping with disruptions. In contrast, ad hoc adjustments and immediate returns to pre-disruption payment schemes do not yield visible improvements. Positive effects on cash and loans are observed if an adjustment of payment terms occurs proactively and in a coordinated manner, especially when expediting payments downstream and payment slowing down upstream. The results from our sensitivity analysis on the impact of accelerating/decelerating cash conversion cycles favour shorter cycles when coping with disruptions. We deduce useful managerial insights and reveal some new theoretical tensions related to the impact of payment adjustments on cash flows in supply chains.

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  • Ivanov, Dmitry, 2024. "Cash flow dynamics in the supply chain during and after disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    • Handle: RePEc:eee:transe:v:185:y:2024:i:c:s1366554524001170
    DOI: 10.1016/j.tre.2024.103526
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