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.
Global manufacturing systems: A model supported by genetic algorithms to optimize production planning / Garavelli, A. C.; Okogbaa, O. G.; Violante, N.. - In: COMPUTERS & INDUSTRIAL ENGINEERING. - ISSN 0360-8352. - STAMPA. - 31:1-2(1996), pp. 193-196. [10.1016/0360-8352(96)00109-X]
Global manufacturing systems: A model supported by genetic algorithms to optimize production planning
Garavelli, A. C.;
1996-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
