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Volatile Knowledge to Improve the Self-adaptation of Autonomous Shuttles in Flexible Job Shop Manufacturing System

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Service Orientation in Holonic and Multi-agent Manufacturing

Part of the book series: Studies in Computational Intelligence ((SCI,volume 594))

Abstract

It is well known now that MAS are particularly adapted to deal with distributed and dynamic environment. The management of business workflow, data flow or flexible job shop manufacturing systems is typically a good application field for them. This kind of application requires flexibility to face with changes on the network. In the context of FMS, where products and resources entities can be seen as active, this paper presents an application of the volatile knowledge concept to the management of a flexible assembly cell. We illustrate our proposition on an emulator of the flexible assembly cell in our university.

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Notes

  1. 1.

    Or if \( conf\begin{array}{*{20}c} {{\text{t}}_{0} } \\ {{\text{k}}_{o}^{a} } \\ \end{array} \) is the confidence at \( time = 0 \), confidence \( conf\begin{array}{*{20}c} {{\text{t}}_{n} } \\ {{\text{k}}_{o}^{a} } \\ \end{array} = conf\begin{array}{*{20}c} {{\text{t}}_{0} } \\ {{\text{k}}_{o}^{a} } \\ \end{array} \times \left( {1 - deg_{{{\text{k}}_{o}^{a} }} } \right)^{n} \).

  2. 2.

    A Java Agent Development framework, cf. http://jade.tilab.com/.

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Acknowledgments

This research was financed by the International Campus on Safety and Inter-modality in Transportation, the Nord/Pas-de-Calais Region, the French Regional Delegation for Research and Technology, and the French National Centre for Scientific Research. We are grateful for the support of these institutions.

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Adam, E., Trentesaux, D., Mandiau, R. (2015). Volatile Knowledge to Improve the Self-adaptation of Autonomous Shuttles in Flexible Job Shop Manufacturing System. In: Borangiu, T., Thomas, A., Trentesaux, D. (eds) Service Orientation in Holonic and Multi-agent Manufacturing. Studies in Computational Intelligence, vol 594. Springer, Cham. https://doi.org/10.1007/978-3-319-15159-5_21

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  • DOI: https://doi.org/10.1007/978-3-319-15159-5_21

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