Model retraining and information sharing in a supply chain with long-term fluctuating demands.
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ABSTRACT:
SUBMITTER: Ezaki T
PROVIDER: S-EPMC8514521 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature
Publications
Model retraining and information sharing in a supply chain with long-term fluctuating demands.
Ezaki Takahiro T Imura Naoto N Nishinari Katsuhiro K
Scientific reports 20211013 1
Demand forecasting based on empirical data is a viable approach for optimizing a supply chain. However, in this approach, a model constructed from past data occasionally becomes outdated due to long-term changes in the environment, in which case the model should be updated (i.e., retrained) using the latest data. In this study, we examine the effects of updating models in a supply chain using a minimal setting. We demonstrate that when each party in the supply chain has its own forecasting model ...[more]
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