Focal Interest
Focal Interest

Scheduling and Optimization Algorithms

External reference: https://openalex.org/T10551

  1. Scheduling model integrates pallets, machines, and setup stations
    Mixed-integer programming and mutation-based algorithm for scheduling flexible manufacturing with pallet automation, setup stations, and fixture pallets to minimize makespan.
  2. Hybrid scheduling algorithm cuts pharmaceutical production costs
    Improved particle swarm optimization algorithm reduces pharmaceutical manufacturing costs by 6.3% through enhanced scheduling efficiency, improving equipment utilization and delivery rates.
  3. Two-stage D-optimal selection found a less-than-full automation mix
    D-Optimal design methodology for optimizing flexible manufacturing system equipment selection, demonstrating that partial automation achieves superior efficiency in electronics manufacturing.
  4. Online genetic programming improved scheduling in dynamic job shops
    Online Genetic Programming evolves dynamic flexible job shop scheduling rules in real-time without simulation models, achieving superior performance through adaptive fitness and population.