Global manufacturing systems: a model supported by genetic algorithms to optimize production planning

Global competition emphasizes the benefits of a more coordinated production planning among the subsidiaries of a multinational company (MNC). In this paper, a model for the production assignment of the global demand to the MNC plants is proposed. The solution search, based on total cost optimization, is pursued by genetic algorithms. A simple example is provided to show the model implementation.