Solution strategies for the design and planning of supply chains and embedded plants7

CORSANO, GABRIELA; GUILLÉN-GOZALBEZ GONZALO; MONTAGNA, JORGE MARCELO

Chemical Engineering Transactions

AIDIC

Año: 2013; p. 1351 - 1356

In this work we present 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 an mixed integer linear programming (MILP) model introduced in a previous work, we propose three solution strategies that exploit the underlying mathematical structure. The strategies are based on bi-level decomposition algorithm and Lagrangean decomposition method. Also, we propose a hybrid approach that takes advantage of both well known strategies, improving the solution obtained by Lagrangean methods. Numerical results show that the bi-level approach works more efficiently than Lagrangean and hybrid decomposition, and lead to significant CPU savings when compared to the full space MILP for large scale problems.