The poultry industry is one of the most important agricultural sectors, which constitutes a significant part of the per capita consumption of protein and meat. Integrating operations of poultry industry sections including production, distribution and consumption becomes vital. Although the proper poultry supply chain has been established and made plenty of benefits for a long time, the global outbreak of COVID-19 shows that operations under pandemic are still challenge for the poultry industry. In this paper, the impacts of pandemic on poultry industry is investigated by developing a multi-period multi-modal stochastic poultry supply chain. Two models are developed aiming to mitigate the negative effects of pandemic occurrence through product stocking policy. In the first model, distribution system is in accordance with a multi-component structure, while the second model allows direct connections between suppliers (farmers) and demanders (customers). In both models, poultry productions are negatively affected by COVID 19. Due to the complexity of the model, a hybrid solution approach based on Branch and Cut and Dynamic Programming is developed. To validate the performance of the proposed model and solution procedure, a case study on the broiler industry in the state of Mississippi is performed. The results show that storing poultry products in the pre-pandemic along with direct logistics during pandemic period can save the broiler supply chain cost up to 30%.

家禽业是最重要的农业部门之一，占人均蛋白质和肉类消费量的很大一部分。包括生产、分销和消费在内的家禽业部门的整合运营变得至关重要。尽管已经建立了适当的家禽供应链并长期受益匪浅，但 COVID-19 的全球爆发表明，大流行下的运营仍然对家禽业构成挑战。在本文中，通过开发多周期多模式随机家禽供应链来研究大流行对家禽业的影响。开发了两种模型，旨在通过产品库存政策减轻大流行发生的负面影响。在第一个模型中，分配系统按照多组件结构，而第二种模式允许供应商（农民）和需求者（客户）之间的直接联系。在这两种模型中，家禽生产都受到 COVID 19 的负面影响。由于模型的复杂性，开发了一种基于分支切割和动态规划的混合解决方案方法。为了验证所提出的模型和求解过程的性能，对密西西比州的肉鸡产业进行了案例研究。结果表明，在大流行前储存家禽产品以及大流行期间的直接物流可以节省高达 30% 的肉鸡供应链成本。开发了一种基于分支切割和动态规划的混合解决方案方法。为了验证所提出的模型和求解过程的性能，对密西西比州的肉鸡产业进行了案例研究。结果表明，在大流行前储存家禽产品以及大流行期间的直接物流可以节省高达 30% 的肉鸡供应链成本。开发了一种基于分支切割和动态规划的混合解决方案方法。为了验证所提出的模型和求解过程的性能，对密西西比州的肉鸡产业进行了案例研究。结果表明，在大流行前储存家禽产品以及大流行期间的直接物流可以节省高达 30% 的肉鸡供应链成本。