Helena Ramalhinho gave an invited talk on “Business Applications of the Iterated Local Search” in the II Escuela de Invierno de la Red HEUR, Campus de Móstoles de la Universidad Rey Juan Carlos, November 6-8, 2019.
Monthly Archives: November 2019
Visit to Mercadona and Amazon
INFORMS 2019 – Seattle
Marcelus Fabri and Helena Ramalhinho attend the INFORMS 2019 Annual Meeting (INFORMS 2019), October 20-23, 2019, Seattle, Washington, USA, and presented a talk on “A Simulation-based Iterated Local Search for The In-house Logistics Routing Problem” .
Abstract: The objective of this work is to optimize the internal logistics processes in the car assembling company SEAT S.A., a Volkswagen subsidiary. We focus on the In-house Logistics Routing Problem (ILRP), an extension of the VRP. In the ILRP the routes are fixed and cannot be modified; the demand is unknown; the fleet is homogeneous; there are time-window and back-orders constraints. To solve the ILRP, we propose an Integer Linear Programming (ILP) model and a Simulation Iterated Local Search (SimILS) algorithm. We conducted experiments based on real company’s data. Results showed that the SimILS provided the best overall results overcoming both the ILP approach and the current company’s solution.