System dynamics analysis of Retailer's emergency strategies when facing irrational demand and supply disruption

无理数 供应链 系统动力学 业务 动力学(音乐) 供求关系 微观经济学 经济 运筹学 运营管理 计算机科学 营销 心理学 数学 教育学 人工智能 几何学
作者
Qi Sun,Junyong Ma,Qihui Lu,Yaya Gao,XU Wei-dong
出处
期刊:International Journal of Production Economics [Elsevier BV]
卷期号:271: 109223-109223 被引量:9
标识
DOI:10.1016/j.ijpe.2024.109223
摘要

Emergency events, such as epidemics, typhoons, and floods, can lead to increased demand instability, resulting in a higher risk of supply–demand imbalances in supply chains. Companies often face challenges in managing irrational demand and supply disruptions due to their limited experience. In this paper, we utilize system dynamics (SD) and susceptible-infected-recovered (SIR) model to examine the phenomenon of irrational consumer demand within the context of supply disruption. Specifically, we focus on analyzing such demand patterns across three external supply scenarios: sufficient, stable, and learning types. Furthermore, we consider emergency strategies (pricing, transshipment, and hybrid) for the retailer based on the consideration of either delayed or non-delayed delivery mechanisms. The results show that the upsurge of irrational demand following an emergency outbreak is usually short term and enormous. A higher level of panic effect leads to increased irrational demand, whereas a stronger conformity effect results in faster increases and declines of such demand during early and later stages, respectively. Furthermore, the emergency strategies should aim to mitigate the negative impacts of the disruption retailer operations and improve the retailer's emergency capabilities. Numerical analysis indicates that the retailer can increase its profit in the sufficient-type external supply scenario by adopting a pricing strategy that incorporates a delayed delivery mechanism. When facing a stable-type scenario, the recommendation is the hybrid strategy. In a learning-type scenario, the retailer should consider using the hybrid strategy with non-delayed delivery as the default option, but use a pricing strategy if delayed delivery is necessary.
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