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”. 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.
Marcelus Fabri and Helena Ramalhinho attend the Metaheuristics Internacional Conference 2019 in Cartagena de la Indias, Colombia in July 2019. They present a joint work with title “Internal logistics routing optimization”. The work is about the internal logistics in a car manufacture company. The Internal Logistics is an important activity that can lead to improve the efficiency of the production and cost reduction. In this work we describe an internal logistics routing problem in important automotive company and propose an Iterated Local Search algorithm to solve this problem in a realistic environment. This algorithm will be incorporated by the company change the actual static system to a more dynamic and automatic one. We study also the impact of this new system in the company enable the managers to make better decisions and make easier the implementation.