Hybrid simulated annealing and genetic approach for solving a multi-stage production planning with sequence-dependent setups in a closed-loop supply chain.
S. TorkamanS. M. T. Fatemi GhomiBehrooz KarimiPublished in: Appl. Soft Comput. (2018)
Keyphrases
- multistage
- production planning
- lot sizing
- simulated annealing
- closed loop supply chain
- genetic algorithm
- multi period
- multi item
- mixed integer programming
- single stage
- combinatorial optimization
- planning horizon
- production system
- knapsack problem
- setup cost
- dynamic programming
- optimal policy
- lot size
- capacity expansion
- production cost
- stochastic programming
- mixed integer
- infinite horizon
- integer programming
- hill climbing
- tabu search
- machine learning
- finite horizon
- neural network
- constraint satisfaction
- markov decision processes
- reinforcement learning
- evolutionary algorithm