Mitigating disruptions in a multi-echelon supply chain using adaptive ordering
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文摘
We developed a large scale agent-based model to aid Sandia National Laboratories. The impact of a disruption depends on its location. Costlier and longer lasting effects observed from disruptions occurring at lower echelons. Expediting, which is often used to mitigate disruptions, can hurt overall performance. As an alternative to expediting, dynamic order-up-to policies show promise as a mitigation tool. We find benefits from metaheuristics-based global parameter search over multiple echelons.

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