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- W3148367024 abstract "Most Advanced Planning Systems decompose the task of production planning according to the planning horizon in two levels, mid-term and short-term planning. The mid-term planning level sets the targets for the short-term level. In response, the short-term planning level gives feedback to the mid-term level. Moreover, due to detailed knowledge, the short-term planning level should provide relevant input to the mid-term planning run. To compute accurate targets for the short-term planning level the mid-term planning should anticipate its major behaviour. In this article we present an artificial neural network based anticipation of a short-term planning level for a single-stage, multi-product flow line production environment." @default.
- W3148367024 created "2021-04-13" @default.
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- W3148367024 date "2003-01-01" @default.
- W3148367024 modified "2023-10-03" @default.
- W3148367024 title "Hierarchical supply chain planning using artificial neural networks to anticipate base-level outcomes" @default.
- W3148367024 hasPublicationYear "2003" @default.
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