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Embedding data on “communicating materials” from context-sensitive information analysis

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Abstract

Nowadays, intelligent products carrying information or having decision-making abilities are becoming widespread. The idea of using intelligent products to ensure an information continuum all along the product life cycle is more and more shared today. However, it is not that easy to identify the information that must be linked to the product. As a result, this paper proposes an information dissemination process for selecting information sensitive to the context of use of the product. This information is then stored on the products themselves using a new type of augmented material, referred to as “communicating material”.

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Notes

  1. Relevance is only computed for the set of product-related tuples retrieved in stage A.

  2. One data item corresponds to a table cell.

  3. An FK will be the PK in another table and vice versa.

  4. The product table is defined as that which includes \(d_p\).

  5. B2MML is meant to be a common data format to link business enterprise applications with manufacturing enterprise applications.

  6. MaterialLot is the reference table because it contains \(d_p\).

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Authors and Affiliations

  1. Centre de Recherche en Automatique de Nancy, Université de Lorraine, CNRS UMR 7039, Campus Sciences, BP 70239 , F-54506 , Vandœuvre-lés-Nancy, France

    Sylvain Kubler, William Derigent, André Thomas & Éric Rondeau

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  1. Sylvain Kubler
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  2. William Derigent
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  3. André Thomas
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  4. Éric Rondeau
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Correspondence to Sylvain Kubler.

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Kubler, S., Derigent, W., Thomas, A. et al. Embedding data on “communicating materials” from context-sensitive information analysis. J Intell Manuf 25, 1053–1064 (2014). https://doi.org/10.1007/s10845-013-0745-y

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  • DOI: https://doi.org/10.1007/s10845-013-0745-y

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