Artículos de revistas
Computational methods for the simultaneous strategic planning of supply chains and batch chemical manufacturing sites
Fecha
2014-01Registro en:
Corsano, Gabriela; Guillen Gozalbez, Gonzalo; Montagna, Jorge Marcelo; Computational methods for the simultaneous strategic planning of supply chains and batch chemical manufacturing sites; Elsevier; Computers and Chemical Engineering; 60; 1-2014; 154-171
0098-1354
Autor
Corsano, Gabriela
Guillen Gozalbez, Gonzalo
Montagna, Jorge Marcelo
Resumen
In this work we present efficient solution strategies for the task of designing supply chains with the explicit consideration of the detailed plant performance of the embedded facilities. Taking as a basis a mixed-integer linear programming (MILP) model introduced in a previous work, we propose three solution strategies that exploit the underlying mathematical structure: A bi-level algorithm, a Lagrangean decomposition method, and a hybrid approach that combines features from both of these two methods. Numerical results show that the bi-level method outperforms the others, leading to significant CPU savings when compared to the full space MILP.