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FJS Problem Under Machine Breakdowns

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Advances in Artificial Intelligence: From Theory to Practice (IEA/AIE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10350))

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Abstract

One of the most challenging problems in manufacturing field is to solve the flexible job shop (FJS) problem subject to machines breakdown. In this paper, we propose two rescheduling solutions to handle machine breakdowns: a PSO-based solution and a shifting-based solution. The first solution aims to improve the robustness while the second solution aims to improve the stability.

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References

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Author information

Authors and Affiliations

  1. Labo NOCCS, National Engineering School of Sousse, Sousse, Tunisia

    Rim Zarrouk & Imed Bennour

  2. Labo LIP2, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis, Tunisia

    Abderrazak Jemai

  3. LAMIH, University of Valenciennes and Hainaut-Cambrésis, UVHC, Valenciennes, France

    Abdelghani Bekrar

Authors
  1. Rim Zarrouk
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  2. Imed Bennour
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  3. Abderrazak Jemai
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  4. Abdelghani Bekrar
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Corresponding author

Correspondence to Rim Zarrouk .

Editor information

Editors and Affiliations

  1. Artois University, Lens, France

    Salem Benferhat

  2. Artois University, Lens, France

    Karim Tabia

  3. Texas State University, San Marcos, Texas, USA

    Moonis Ali

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© 2017 Springer International Publishing AG

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Zarrouk, R., Bennour, I., Jemai, A., Bekrar, A. (2017). FJS Problem Under Machine Breakdowns. In: Benferhat, S., Tabia, K., Ali, M. (eds) Advances in Artificial Intelligence: From Theory to Practice. IEA/AIE 2017. Lecture Notes in Computer Science(), vol 10350. Springer, Cham. https://doi.org/10.1007/978-3-319-60042-0_14

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  • DOI: https://doi.org/10.1007/978-3-319-60042-0_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60041-3

  • Online ISBN: 978-3-319-60042-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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