In the current global market, managing supply is not a straightforward process and it becomes even more complex as uncertainty and disruptions occur. In order to mitigate their impact, the selection of suppliers of strategic items should have a more holistic view of the operations in the supply chain. We propose an integrated model for supplier selection, considering inventory management and inbound transportation. We approach this problem, incorporating stochastic demand and suppliers' imperfect quality. Imperfect quality triggers additional costs, including external failure and holding costs. Supply disruptions also affect the suppliers' lead time, resulting in delivery delays. We develop a methodology to address this challenge with simulation-optimisation. A genetic algorithm determines supplier selection decisions, while inventory decisions are computed analytically. Discrete-event simulation is used to evaluate the overall performance, as well as to update the lead time dynamically, according to the disruptions. Finally, sensitivity analysis providing managerial insights reveals that criteria in supplier selection should be given a different priority depending on the characteristics of the items, and the effectiveness of disruption mitigation strategies depends on the disruption characteristics.

在当前的全球市场中，管理供应并不是一个简单的过程，随着不确定性和中断的发生，它变得更加复杂。为了减轻它们的影响，战略项目供应商的选择应该更全面地了解供应链中的运作。我们为供应商选择提出了一个综合模型，考虑了库存管理和入站运输。我们解决了这个问题，结合了随机需求和供应商的不完美质量。不完美的质量会引发额外成本，包括外部故障和持有成本。供应中断还会影响供应商的交货时间，从而导致交货延迟。我们开发了一种方法来通过模拟优化来应对这一挑战。遗传算法确定供应商选择决策，而库存决策是通过分析计算的。离散事件模拟用于评估整体性能，并根据中断动态更新提前期。最后，提供管理洞察力的敏感性分析表明，供应商选择的标准应根据项目的特征给予不同的优先级，并且中断缓解策略的有效性取决于中断特征。