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首页> 外文期刊>International Journal of Production Research >An inventory management approximation for estimating aggregated regional food stock levels
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An inventory management approximation for estimating aggregated regional food stock levels

机译：估算聚合区域食品储量水平的库存管理近似

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摘要

Food is an important resource in disaster management, and food stock levels hold significance for disaster mitigation research and practice. The presence or absence of food stocks is a vulnerability indicator of a region. A large part of overall food stock, before a disaster strikes, is held by private companies (retailers, wholesalers and food producers). However, there is little-to-no information on the food stock levels of commercial companies, and no approach exists to derive such information. We develop an approximation model based on essential inventory management principles and available data sources to estimate aggregated food stock levels in supply networks. The model is applied in a case example that features dairy product stock levels in the German state of Saxonia. The resulting overall stock levels are normalised, and their usability is showcased in a simple vulnerability analysis. Disaster managers are provided with a model that can be used estimate otherwise unavailable data and facilitates investigations into the regional resilience of an area. The limitations of our study are based on the aggregated nature of the supply network structure and data usage (i.e. in the model, we do not consider any seasonality or trend effects).
机译：食物是灾害管理的重要资源，食品股权对灾害缓解研究和实践具有重要意义。食物股的存在或不存在是一个地区的漏洞指标。在灾难罢工之前，整个食物股票的一大部分是私营公司（零售商，批发商和食品生产商）举办的。但是，关于商业公司的食品库存水平几乎没有信息，并且没有任何方法可以派生这些信息。我们基于基本库存管理原则和可用数据源的近似模型来估算供应网络中的聚合食品库存水平。该模型适用于在德国撒克逊州德国州的乳制品股票水平的情况下应用。由此产生的整体库存水平是标准化的，并且在一个简单的漏洞分析中展示了它们的可用性。灾难管理人员提供了一种模型，可以使用估计否则无法使用的数据，并促进调查区域的区域恢复力。我们研究的局限性基于供应网络结构和数据使用的聚合性质（即，在模型中，我们不考虑任何季节性或趋势效应）。

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