Tag: production optimization

Swarm intelligence in the factory

Modern semiconductor production is a operating at huge complexity, often involving over 1,500 products moving through 300 processing steps across 1,200 different machines. Traditional centralized scheduling methods frequently fail to optimize these NP-hard environments in real-time. To address this, the SwarmIn project leverages Artificial Bee Colony (ABC) algorithms to create a self-organizing, bottom-up scheduling system. Unlike standard scheduling that calculates a global plan from the top down, the SwarmIn approach…