Supply Chain Optimization using Multi-Objective Evolutionary Algorithms

@inproceedings{Pinto2004SupplyCO,
  title={Supply Chain Optimization using Multi-Objective Evolutionary Algorithms},
  author={Errol G. Pinto},
  year={2004}
}
  • Errol G. Pinto
  • Published 2004
In this work, multi-objective evolutionary algorithms are used to model and solve a threestage supply chain problem for Pareto Optimality. Typically all supply chain problems are characterized by decisions that are conflicting by nature. Modeling these problems using multiple objectives gives the decision maker a set of Pareto optimal solutions from which to choose. This paper discusses some literature in supply chain optimization and proposes the use of multi-objective evolutionary algorithms… CONTINUE READING