Simulation-optimization approach for the multi-objective production and distribution planning problem in the supply chain: using NSGA-II and Monte Carlo simulation.
Niloofar Nadim KabiriSaeed EmamiAbdul Sattar SafaeiPublished in: Soft Comput. (2022)
Keyphrases
- supply chain
- monte carlo simulation
- multi objective
- nsga ii
- capacity planning
- optimization algorithm
- evolutionary multiobjective
- multiobjective optimization
- multi objective optimization
- optimization problems
- multiple objectives
- evolutionary algorithm
- multi objective evolutionary algorithms
- supply chain management
- quantity discount
- pareto optimal
- monte carlo
- multiobjective evolutionary algorithm
- markov chain
- distribution network
- conflicting objectives
- optimum design
- multi objective optimization problems
- multi objective optimisation
- production planning
- bi objective
- test problems
- particle swarm
- genetic algorithm
- lead time
- inventory control
- objective function
- particle swarm optimization
- pareto optimal solutions
- decision making
- differential evolution
- multi objective problems
- customer demand
- genetic programming
- fitness function
- optimal solution
- mixed integer programming model
- random variables
- metaheuristic
- special case