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Optimization Approaches for Multi-level Assembly Systems Under Stochastic Lead Times

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Metaheuristics for Production Systems

Part of the book series: Operations Research/Computer Science Interfaces Series ((ORCS,volume 60))

Abstract

The aim of this chapter is to scrutinize problems, modelling approaches and algorithms employed to adapt and parameterize the Material Requirement Planning (MRP) method under lead time uncertainty and to discourse about some potential research areas. The analysis and discussion could help the community deal with variabilities, formalizing the uncertainty of lead times and facilitating development of methods for solving identified problems.

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Author information

Authors and Affiliations

  1. École Nationale Supérieure des Mines, EMSE-FAYOL, CNRS UMR6158 LIMOS, 158 Cours Fauriel, 42023, Saint-Étienne cedex 2, France

    Oussama Ben Ammar, Hélène Marian & Alexandre Dolgui

  2. Université de Technologie de Troyes, UMR-STMR CNRS 6279, 12 rue Marie Curie, 10010, Troyes Cedex, France

    Faicel Hnaien

Authors
  1. Oussama Ben Ammar
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  2. Faicel Hnaien
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  3. Hélène Marian
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  4. Alexandre Dolgui
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Corresponding author

Correspondence to Oussama Ben Ammar .

Editor information

Editors and Affiliations

  1. CRISTAL Laboratory, Lille 1 University, Villeneuve d'Ascq, France

    El-Ghazali Talbi

  2. LOSI Laboratory, University of Technology of Troyes, Troyes, France

    Farouk Yalaoui

  3. LOSI Laboratory, University of Technology of Troyes, Troyes, France

    Lionel Amodeo

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Ammar, O.B., Hnaien, F., Marian, H., Dolgui, A. (2016). Optimization Approaches for Multi-level Assembly Systems Under Stochastic Lead Times. In: Talbi, EG., Yalaoui, F., Amodeo, L. (eds) Metaheuristics for Production Systems. Operations Research/Computer Science Interfaces Series, vol 60. Springer, Cham. https://doi.org/10.1007/978-3-319-23350-5_4

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