A resilient poultry vaccine supply chain network design considering perishability and stress test

Mina Mehravaran, Arash Nemati
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Abstract

Vaccines and seeds are the most significant resources in the poultry industry, particularly for chicken as a global staple. However, designing a resilient network for the poultry vaccine supply chain to create a viable poultry industry has been neglected. Hence, this paper contributes to the poultry vaccine supply chain network design and planning problem by proposing a multi-period mixed-integer linear mathematical model. This model formulizes several resiliency strategies, including considering surplus vaccine production capacity, inventory holding in the customers and manufacturers, simultaneous utilization of both offshore suppliers and domestic manufacturers, and the necessity for fulfilling a proportion of periodic demand using warehoused vaccines. In addition, time-based prices and limited holding periods of poultry vaccines are considered in the model formulation to consider vaccine perishability. The newly developed model minimizes the poultry vaccine supply chain’s total costs, including vaccine purchasing, transportation, warehousing, manufacturer establishment, and opportunity cost, to make decisions on poultry vaccine manufacturer location-allocation, offshore supplier selection, customer order allocation, depot selection, and production capacity allocation. This model is solved in a case study of the chicken industry from Iran using CPLEX solver to design a new supply chain network for Newcastle, Gumboro, and Bronchitis vaccines from 2025 to 2030. Results showed that 6, 7, and 7 locations of 8 candidates have opted for Newcastle, Gumboro, and Bronchitis vaccine production lines establishment, respectively, and two offshore suppliers are selected between 4 potential ones. In addition, the results of stress tests verified the effectiveness of employed resiliency strategies, and sensitivity analysis showed the significant impact of demand variability on establishment and purchasing costs.
考虑易腐性和压力测试的弹性家禽疫苗供应链网络设计
疫苗和种籽是家禽业中最重要的资源,特别是对于作为全球主食的鸡肉而言。然而,为家禽疫苗供应链设计一个有弹性的网络以创建一个可行的家禽业一直被忽视。因此,本文通过提出一个多周期混合整数线性数学模型,对禽疫苗供应链网络的设计和规划问题有所贡献。该模型制定了若干弹性战略,包括考虑剩余疫苗生产能力、客户和制造商的库存、同时利用离岸供应商和国内制造商,以及使用仓库疫苗满足一定比例定期需求的必要性。此外,在模型编制中考虑了基于时间的价格和家禽疫苗的有限持有期限,以考虑疫苗的易腐性。新开发的模型最大限度地减少了家禽疫苗供应链的总成本,包括疫苗采购、运输、仓储、制造商建立和机会成本,以做出家禽疫苗制造商地点分配、离岸供应商选择、客户订单分配、仓库选择和生产能力分配的决策。该模型以伊朗鸡肉行业为例,利用CPLEX求解器设计了2025 - 2030年纽卡斯尔、Gumboro和支气管炎疫苗的新供应链网络。结果显示,8个候选地点中分别有6个、7个和7个地点选择了新建纽卡斯尔、Gumboro和支气管炎疫苗生产线,4个备选地点中有2个选择了离岸供应商。此外,压力测试的结果验证了所采用的弹性策略的有效性,敏感性分析显示需求变化对建立和采购成本的显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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