Behmanesh, E;Pannek, J.:
Ranking Parameters of a Memetic Algorithm for a Flexible Integrated Logistics Network.
Proceedings of the 7th International Conference LDIC 2020, S. 76-85, 2018.
Increasing level of competitiveness in real word cases, forces enterprises to collaborate in multiple dimensions like resource sharing, information sharing, capacity planning and delivery path flexibility. These efforts make the logistics network problem more complex and most of the time impossible to find an optimal solution in a traditional way with acceptable time. In this paper, we present an costumization approach for a memetic algorithm to an integrated forward/reverse supply chain model which is flexible in delivery path. To this end, Taguchi method is adapted to identify the most important parameters and rank the latter. The results are illustrated by a numerical case study.