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Institut Mines-Télécom

Optimisation dynamique et jumeaux numériques pour le pilotage des opérations de remanufacturing

Academic & Institutional ResearchUpdated on Nov 14
Full-timeDouai, FranceNo salary listed

About the Job

Requirements

  • Ability to conduct research on dynamic scheduling, vehicle-routing and inventory-management problems, mathematical modeling, optimization algorithms, discrete-event simulation, and digital-twin integration is required by the described postdoctoral research work.

Responsibilities

  • Conduct a focused literature review on dynamic integration of remanufacturing scheduling and inventory-routing problems.
  • Formalize the integrated dynamic problem, including reference mathematical models and event management for batch arrivals, diagnostic uncertainties, and operation-duration uncertainties.
  • Design and implement dynamic optimization algorithms, including a multi-population memetic algorithm combining variable neighborhood search for scheduling and iterated local search for routing, as well as re-optimization strategies.
  • Build the reference use case and associated instance sets and open benchmarks with the team.
  • Evaluate the methods through discrete-event simulation and optimization-simulation coupling, and prepare integration into a digital-twin architecture using the IT’m Factory and Maq’It platforms.
  • Disseminate results through international journal articles, conferences, project seminars, and workshops.
  • Co-supervise master's interns.

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