Article ID: | iaor201110219 |
Volume: | 12 |
Issue: | 4 |
Start Page Number: | 583 |
End Page Number: | 602 |
Publication Date: | Dec 2011 |
Journal: | Optimization and Engineering |
Authors: | Dittel Agnes, Gttlich Simone, Ziegler Ute |
Keywords: | programming: integer, heuristics, networks, production |
In this work we present a mixed‐integer model for the optimal design of production/transportation systems. In contrast to standard design problems, our model is originally based on a coupled system of differential equations capturing the dynamics of manufacturing processes and stocks. The problem is to select an optimal parameter configuration from a predefined set such that respective constraints are fulfilled. We focus on single commodity flows over large time scales as well as highly interconnected networks and propose a suitable start heuristic to ensure feasibility and to speed up the solution procedure.