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- W3215748829 abstract "At the beginning of the 5th generation of the industrial digital transformation, the Purchase 5.0 process is also undergoing a profound change, first through its buyers, called augmented buyers. Faced with the challenges of the automation induced by this transformation, research works are stepping up and trying to converge on more advanced techniques of Artificial Intelligence (AI) to face the complex problem of multi-vendor selection. The risks associated with supplier volatility, further weakened by the COVID-19 pandemic crisis, have extensively increased consequently. The objective of this paper is to remedy this weakness. It offers a new hybrid approach of multicriteria analysis and chat-bots with risk aversion capacity by using reinforcement learning. A validation framework is proposed from a French car manufacturer for a preliminary scenario. The first results are promising and encourage us to pursue in the continuation of this work." @default.
- W3215748829 created "2021-12-06" @default.
- W3215748829 creator A5081188475 @default.
- W3215748829 date "2021-11-21" @default.
- W3215748829 modified "2023-09-26" @default.
- W3215748829 title "Processus Achat 5.0 et Acheteurs Augmentés: L’IA collective avec chat-bots dotés d’aversion au risque post-COVID-19: Cas d’un constructeur automobile Français" @default.
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