风暴
环境科学
环境资源管理
计算机科学
业务
运营管理
气象学
经济
地理
作者
Joshua Ignatius,Rui Li,Yunqiang Yin,Kunze Jia
摘要
Abstract We investigate the impact of Typhoon Lekima, a source of environmental uncertainty, on delivery performance, utilizing data from RiRiShun Logistics. We apply a staggered difference‐in‐differences model across low‐complexity and high‐complexity supply chains. The analysis uncovers distinct dynamics throughout the typhoon's forecast, active, and recovery phases. Notably, the active phase experiences less disruption in delivery performance compared to the forecast phase, owing to RiRiShun's wait‐and‐see policy. This approach leads to order accumulation but subsequently enables more effective resource allocation. In the recovery phase, high‐complexity supply chains demonstrate significant improvements, surpassing pre‐disaster performance levels. The study further emphasizes the critical role of two response mechanisms in managing high‐complexity supply chains. Increasing throughput efficiencies at destination centers and implementing transfer centers prove effective in enhancing delivery performance during both the forecast and active phases. However, the simultaneous application of these response mechanisms during the forecast phase unexpectedly reduces performance.
科研通智能强力驱动
Strongly Powered by AbleSci AI