Helena taught a course on Metaheuristics for Combinatorial Optimization at the RMIT, Melbourne, Australia.
The course was financially supported by the ERASMUS+ International Program. Helena would like to thank the program and all the team at the “Servei de Relacions Internacionals” of UPF that have helped in making this course possible.
The course will focus on Metaheuristics applied to Combinatorial Optimization to solve large-scale business problems based on the scientific method. Combinatorial Optimization problems like Routing, Location, and Scheduling problems will be described. Heuristics and metaheuristics algorithms, two relevant methodologies to solve these problems, are presented and explained in detail. It will be also presented some real applications of these problems in different areas as Operations Management, Healthcare, Marketing, Logistics, Supply Chain Management, etc. Finally, it will be discussed several real applications of metaheuristics to solve combinatorial optimization in different businesses as for example Seat, Inditex (Zara), CatLab, Area de Guissona, etc. Continue reading →
Helena participates on the Metaheuristics Summer School – from Design to Implementation – MESS 2018, 21-25 July 2018, Achireale Italy as an invited Speaker. She gave a talk on Iterated Local Search – Extensions and Applications.
Helena participates in the EURO 2018 – 29th European Conference on Operational Research at Valencia, Spain, 8-11 July, 2018. Many members of the Business Analytics Research Groupparticipate in this fantastic conference. The organization hold the 1st Women in Science (WiS)event in the EURO Conference. The main goal was to highlight the role of WiS throughout history.
Marcelus Fabri and Helena Ramalhinho presented a paper on “Optimizing Factory Logistics in a Automotive Industry“
Abstract: Logistics chains do not end at the entrance of a Factory. Optimizing the processes of provision and disposal of the materials and the components for production lines are becoming key way to increase efficiency and decrease costs in manufacturing. This research mainly focuses on studying and modeling the Warehouse Shipping Routing Problem at the internal Warehouse at SEAT S.A. We propose a mathematical model and an Iterated Local Search metaheuristic combined with Simulation to solve this problem. We present computational results with real data and conclude that our proposed approach improves the actual solution and provides a tool to be used in scenarios of production on new car models.
Helena Ramalhinho participates as invited professor in the Doctoral School organized by the Colombian Association of Operational Research (ASOCIO) (“Escuela Doctoral de la Asociación Colombiana de Investigación de Operaciones”) held in Cali, Colombia in June 2018. She gave a 6 hours course about Metaheuristics and Applications.
She also visit the ITM (Instituto Tecnologico Metropolitano) and University of Medellin at Medellin and gave a talk in both universities.
Lourenço H.R., Martin O. and Stützle T. (2010), Iterated Local Search: Framework and Applications. In Handbook of Metaheuristics, 2nd. Edition. Vol.146. M. Gendreau and J.Y. Potvin (eds.), Kluwer Academic Publishers, International Series in Operations Research & Management Science, pp. 363-397