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Disruption Risk Management in Serial Multi-Echelon Supply Chains

机译:串行多梯队供应链中的中断风险管理

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This research focuses on managing supply chain disruption risk using inventory and reserve capacity in serial multi-echelon supply chains. The research problem is to determine the optimal risk mitigation inventories and reserve capacities when product transformation occurs at each echelon. Disruptions at each echelon are modeled as a random process. We derive insights on the optimal location and quantity of risk mitigation inventory (RMI) and reserve capacity held in serial supply chains. We show that the downstream echelon typically holds at least as much RMI as the upstream echelon. At the same time, it is often optimal to hold additionally more reserve capacity downstream than upstream. These results hold under the assumption that inventory and reserve capacity holding costs are larger downstream than upstream. Our research also suggests that RMI is preferred to reserve capacity as a risk mitigation lever in long serial supply chains, i.e., in supply chains with a large number of echelons. This research problem is inspired by a risk management problem of a leading pharmaceutical company.
机译:本研究侧重于使用串行多梯队供应链中的库存和储备容量管理供应链中断风险。研究问题是当在每个梯度发生产品转换时,确定最佳风险减缓库存和储备能力。每个梯度的中断被建模为随机过程。我们介绍了在串行供应链中持有风险缓解库存(RMI)的最佳位置和数量的见解。我们表明下游echelon通常至少与上游梯队一样多的RMI。与此同时,往往是最佳的最佳储备容量,而不是上游。这些结果在假设库存和储备能力持有成本的下游比上游的假设持有。我们的研究还表明,RMI优先于长期串行供应链中保留作为风险缓解杆的容量,即,在具有大量梯度的供应链中。该研究问题受到领先制药公司的风险管理问题的启发。

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