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Stochastic automata and supply chain agility in the time-limited supply industry

机译：限时供应行业中的随机自动机和供应链敏捷性

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This paper presents a stochastic automaton approach to stock ordering for retailers of time-limited goods, in the modern supply chain network. The rationale applied is that by ordering in small quantities frequently, overstocking will be reduced, capital liquidity improved and wastage limited. A consequence for the complete supply chain is that such an approach could substantially minimise the reactive bullwhip effect, leading to more efficient utilisation, production and agility throughout the chain. Such agility and flexibility can only be achieved by full integration of stock inventory monitoring technologies (such as RFID) with enterprise integration systems (such as ERP) connected to suppliers, mediated by the internet. We undertake a comparative simulation study of stock ordering using a stochastic automaton and a naive traditional approach. This shows that stochastic ordering, prompted by a stochastic automaton, exhibits characteristic properties that are a prerequisite for reducing the bullwhip effect, thus enabling agile inventory management.
机译：本文提出了一种在现代供应链网络中对限时商品零售商进行库存订购的随机自动机方法。所采用的理由是，通过频繁地进行少量订购，可以减少库存过多，改善资本流动性并减少浪费。完整供应链的结果是，这种方法可以大大减少牛鞭反应的影响，从而在整个供应链中提高利用率，生产效率和敏捷性。只有将库存监控技术（例如RFID）与连接到供应商的企业集成系统（例如ERP）完全集成在一起，才能实现这种敏捷性和灵活性，而企业集成系统是通过Internet进行中介的。我们使用随机自动机和简单的传统方法进行了库存订购的比较模拟研究。这表明，在随机自动机的推动下，随机排序具有一些特性，这些特性是降低牛鞭效应的前提，因此可以进行敏捷的库存管理。

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