News Wise In the field of food supply chain management during public health emergencies like the COVID-19 pandemic, government-led food supply chains are critical for ensuring residents’ dietary needs. However, such chains face significant challenges: insufficient transportation capacity, uneven distribution of district warehouses, and production-demand mismatches lead to severe food shortages. Existing research mostly focuses on non-government-led supply chains, lacks dynamic analysis of pandemic phases, and has insufficient scenario simulations for government-led chains, making it hard to provide targeted recovery strategies.
Therefore, a research team from the School of Information Technology and Artificial Intelligence at Zhejiang University of Finance and Economics conducted a study titled “Recovery strategies for government-led food supply chain in COVID-19 pandemic: A simulation study”.
This study uses AnyLogistix software to build a three-level government-led food supply chain simulation model (designated suppliers, district warehouses, communities) and divides the pandemic into four phases (initial, silent management, express resumption, full recovery) with corresponding government-led demand ratios (75%, 125%, 50%, 25%). It designs seven recovery strategies and simulates two disruption scenarios (supplier/warehouse closure) to test strategy robustness.