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Systems

SYSTEM 001 · INDUSTRIAL AI & OPTIMIZATION

RESEARCHSOURCE VERIFIED

Energy-Aware Production Scheduling

TÜBİTAK 2209-A Applied Research Architecture

ROLE
Researcher (TÜBİTAK 2209-A)
ENGINE
MIP / Reinforcement Learning / QUBO
TIMELINE
2025 - 2026

Examine how energy prices can be incorporated into production scheduling decisions through multiple optimization approaches.

Production scheduling and changing energy prices form a combined industrial optimization problem.

Outcomes

  • Research accepted under the TÜBİTAK 2209-A program.
  • Compared MIP, Reinforcement Learning, and QUBO in an energy-price-aware production scheduling context.

Stack

MIPReinforcement LearningQUBO