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Multi-objective optimization for Work-In-Process balancing and throughput maximization in global fab scheduling

Abstract : This paper presents a multi-objective optimization approach for global fab scheduling, based on a mathematical model that determines production targets, i.e. product quantities to complete in each operation and each period on a scheduling horizon. The multi-objective approach balances product mix variability minimization and throughput maximization using an ε-constraint approach. For evaluation purposes, the global fab scheduling model is coupled with a generic multi-method simulation model. Numerical experiments conducted on industrial data illustrate the effectiveness of the approach.
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https://hal-emse.ccsd.cnrs.fr/emse-02891768
Contributor : Felicien Barhebwa-Mushamuka <>
Submitted on : Tuesday, July 7, 2020 - 10:05:57 AM
Last modification on : Tuesday, July 7, 2020 - 10:05:58 AM

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F. Barhebwa-Mushamuka, S. Dauzère-Pérès, C. Yugma. Multi-objective optimization for Work-In-Process balancing and throughput maximization in global fab scheduling. 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE), Aug 2019, Vancouver, France. pp.697-702, ⟨10.1109/COASE.2019.8842864⟩. ⟨emse-02891768⟩

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