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• W2980496790 abstract "This paper address the problem of scheduling production and maintenance operation in predictive maintenance context. It proposes a contribution in the decision making phase of the prognostic and health management framework. The prognostics and decision processes are merged and an ant colony optimization approach for finding the sequence of decisions that optimizes the benefits of a production system is developed. A case study on a single machine composed of several components where machine can have several usage profiles. The results show that our approach surpasses classical condition based maintenance policy." @default.
• W2980496790 created "2019-10-25" @default.
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• W2980496790 date "2019-03-01" @default.
• W2980496790 modified "2023-09-26" @default.
• W2980496790 title "Integrated Production and Predictive Maintenance Planning based on Prognostic Information" @default.
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• W2980496790 doi "https://doi.org/10.1109/aset.2019.8871007" @default.
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