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manufacturing-optimization

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assalas / pcb-designer-ai-agent

Star 135

🤖 Intelligent AI-powered PCB design automation tool using machine learning for component placement, routing optimization, and signal integrity analysis. Supports KiCad, Altium Designer, and Eagle CAD integration.

python api machine-learning reinforcement-learning deep-learning electronics tensorflow pytorch artificial-intelligence embedded-systems eagle-cad kicad altium-designer electronic-design-automation thermal-analysis graph-neural-networks signal-integrity pcb-design hardware-design manufacturing-optimization
  • Updated Oct 3, 2026
  • Python
knowledge-surrogate-opt

eismont21 / knowledge-surrogate-opt

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A transformative approach to manufacturing optimization, focusing on the textile forming process. This research synergizes domain-specific knowledge with simulation modeling and introduces Bayesian optimization for efficient parameter space exploration.

data-science deep-learning bayesian-optimization simulation-modeling surrogate-models mc-dropout surrogate-based-optimization domain-knowledge-integration manufacturing-optimization fibre-draping
  • Updated Jan 12, 2024
  • Python

Saleem1975 / production-scheduling-optimization-ga

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Genetic Algorithm for minimizing total tardiness in identical parallel machine scheduling problems

python genetic-algorithm operations-research decision-support metaheuristics industrial-engineering production-scheduling job-scheduling parallel-machine-scheduling manufacturing-optimization scheduling-optimization identical-parallel-machines total-tardiness factory-scheduling due-date-reliability
  • Updated Jun 29, 2026
  • Jupyter Notebook

Anfal-AR / single-reactor-scheduling

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Research companion: Heuristic scheduling strategies for single-reactor pharmaceutical batch production under uncertainty. Statistical analysis (JASP) + visualization (Python). Dataset, scripts, and JASP files included.

machine-learning data-visualization statistical-analysis matplotlib uncertainty-quantification fifo operations-research discrete-event-simulation jasp chemrxiv production-planning pharmaceutical-manufacturing batch-scheduling manufacturing-optimization scheduling-heuristics single-reactor spt-heuristic
  • Updated Dec 10, 2025
  • Python

tk-yasuno / botorch_ccfatigue

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This project demonstrates an MVP (Minimum Viable Product) for adaptive experimental design that efficiently searches for manufacturing conditions maximizing material fatigue lifetime. Using real CCFatigue dataset, we validate the feasibility of Bayesian optimization for material lifetime prediction.

materials-informatics bayesian-optimization active-learning design-of-experiments surrogate-modeling manufacturing-optimization lifetime-prediction adaptive-experimental-design materials-fatigue ccfatigue-dataset
  • Updated May 10, 2026
  • Python

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