Titlebook: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Pro; IFIP WG 5.7 Internat Alexandre Dolgui

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1868-4238 uristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identifi978-3-030-85876-6978-3-030-85874-2Series ISSN 1868-4238 Series E-ISSN 1868-422X

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https://doi.org/10.1007/978-3-662-06371-2riven strategy, this task is crucial to reach the requirements in terms of cost and lead time. This paper provides a brief description of the methods implemented in the web-based application. A numerical example, based on real data of the industrial partners of the FBD_Bmodel project, shows the resu

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Molecular Operations for Gene Assemblyed automatically by the variational autoencoder is that it makes the data smoother, which makes it possible to increase the detection performance of one-class classification methods. The performance evaluation of the proposed model is done on real data from European credit cardholders. Our experimen

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Myosin

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Goods and Activities Tracking Through Supply Chain Network Using Machine Learning ModelsOverview:

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Long Term Demand Forecasting System for Demand Driven ManufacturingOverview: