Supply chain managers have realized that competition between supply chains has replaced competition between companies. In addition, with increasing disruptions and uncertainty in planning, companies need to be able to make informed decisions at risk. Coordination in the resilient supply chain and appropriate selection of suppliers play a key role in risky situations. In previous research, mainly the impact of resilience strategies in the decentralized supply chain has been investigated and ignored the reliability of suppliers in the decision-making process. Therefore, we provide an effective framework for selecting reliable suppliers and order allocation, which increases the supply chain's benefits by considering the risk reduction strategies and coordination between the buyer and the supplier. Thus, we optimized the problem of supplier selection and order allocation in a centralized supply chain using mixed-integer nonlinear programming models and risk reduction strategies. These strategies are protected suppliers, back-up suppliers, reserving additional capacity, emergency stock, and geographical separation. Also, by considering the failure mode and effects analysis technique and the risk priority number constraint, suppliers' reliability has been considered. A numerical example is solved with the exact method. In addition, the application of the proposed models in a case study has been investigated by the Grasshopper optimization algorithm. Based on the sensitivity analysis results, we found that the simultaneous use of risk reduction strategies in the models significantly reduces supply chain costs and increases its benefits. Also, considering the reliability constraints causes supply chain managers to choose suppliers with more desirable reliability.

供应链管理者已经意识到供应链之间的竞争已经取代了公司之间的竞争。此外，随着规划中断和不确定性的增加，公司需要能够在风险中做出明智的决策。Coordination in the resilient supply chain and appropriate selection of suppliers play a key role in risky situations. 在以往的研究中，主要考察了分散供应链中弹性策略的影响，而忽略了供应商在决策过程中的可靠性。因此，我们提供了一个有效的框架来选择可靠的供应商和订单分配，通过考虑降低风险的策略和买方与供应商之间的协调来增加供应链的收益。因此，我们使用混合整数非线性规划模型和风险降低策略优化了集中式供应链中的供应商选择和订单分配问题。这些策略是受保护的供应商、备用供应商、保留额外的产能、紧急库存和地域隔离。此外，通过考虑故障模式和影响分析技术以及风险优先级数约束，还考虑了供应商的可靠性。一个数值例子用精确方法求解。此外，所提出的模型在案例研究中的应用已经通过 Grasshopper 优化算法进行了研究。基于敏感性分析结果，我们发现在模型中同时使用风险降低策略显着降低了供应链成本并增加了其收益。还，