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An Inoperability Input-Output Model (IIM) for disruption propagation analysis

机译：中断传播分析的不可操作输入输出模型（IIM）

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Today's Supply Chains (SCs) are global and getting more complex, due to the exigencies of the world economy, making them hard to manage. This is exacerbated by the increasingly frequent occurrence of natural disasters and other high impact disruptions. To stay competitive, companies are therefore seeking ways to better understand the impact of such disruptions to their SCs. In addressing this need, this paper proposes an approach for disruption propagation analysis. We develop a method based on a variation of an Inoperability Input-Output Model (adapted from a Leontief I-O model) to quantify the impact of disruptions across the entire SC. We then analyse the factors that have the most influential impacts on the SCs during disruptions. Initial results show that trading volume handled by a company/ node is an important factor in determining the disruption impact to SCs, besides the number of SC partners (connections) as implied from previous work.
机译：由于世界经济的紧急状况，当今的供应链（SC）已全球化，并且变得越来越复杂，使其难以管理。自然灾害和其他高影响力破坏事件的频繁发生加剧了这种情况。因此，为了保持竞争力，公司正在寻找方法来更好地了解此类中断对其标准服务的影响。为了满足这一需求，本文提出了一种用于干扰传播分析的方法。我们开发了一种基于不可操作性输入输出模型（从Leontief I-O模型改编而成）的变体来量化整个SC上的中断影响的方法。然后，我们分析在中断期间对SC产生最大影响的因素。初步结果表明，除了先前工作所隐含的SC合作伙伴（联系）数量之外，公司/节点处理的交易量是确定对SC的破坏影响的重要因素。

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