Reinforcement learning approaches for the stochastic discrete lot-sizing problem on parallel machines.
Leonardo Kanashiro FelizardoEdoardo FaddaEmilio Del-Moral-HernandezPaolo BrandimartePublished in: Expert Syst. Appl. (2024)
Keyphrases
- lot sizing
- parallel machines
- assembly systems
- setup times
- reinforcement learning
- multi item
- multistage
- single item
- sequence dependent setup times
- rolling horizon
- stochastic inventory control
- scheduling problem
- unrelated parallel machines
- production planning
- precedence constraints
- lead time
- planning horizon
- release dates
- upper bound
- cutting stock