F.-Javier Heredia - Academic web site

On November 2021 Mr. Ignasi Mañé presented the MsC thesis dissertation Multistage stochastic bid model for a wind-thermal power producer to opt for the master's degree in Statistics and Operations Research (UPC-UB), advised by prof. F.-Javier Heredia. This master thesis explores different multi-stage stochastic programming models for generation companies to find optimal bid functions in electric spot markets capturing the uncertainty of electric prices of different markets and financial products, and coupling together wind and thermal generation unit

Sandra Orozco, a former student of the Interuniversity Master in Statistics and Operations Research UPC-UB , presented the MSc Thesis Rebalancing stocks among retail points of sale . She analysed a variant of the Vehicle Routing Problem where products are distributed from a depot to multiple retail stores using capacitated vehicles and not only the transportation cost but also the lost sales resulting from stock-outs at each location are minimized. Two exact formulations are proposed and solved both woth exact methods and metaheuristics. Moreover, an end-to-end solution is developed through the implementation of a visualization tool in R Shiny, which uses MySQL databases and shell calls to AMPL to simulate the process of a whole day. This thesis has been advised by myself, prof. Elena Fernéndez, from my same department, and Roman Buil, from Accenture.

The MSc Thesis entitled A MIP formulation of a Hybrid AC-DC offshore wind power plant topology has been  defended by the student Josep Homs, from the Interuniversity Master in Statistics and Operations Research UPC-UB. This work has been advised by myself in collaboration with Cristina Corchero and Lucia Igualada from the Catalonia Institute for Energy Research. This thesis offers a simple, compact and small-sized MIP optimization model that models a hybrid off-shore wind farm design. The model has been tested with small off-sshore wind farms with 24 turbines and 7 platforms locations that may house up to 28 converters. The optimal solution has been obtained within 162 seconds, proving the great potential of the model. Next, the algorithm has been tested with a large realistic case involving 80 turbines and 10 platform locations that may house up to 40 power converters. In this case, the algorithm is able to find a feasible solution 10 milions EUR cheaper than standard current real-world layout designs in just six hours.

Last June 2016 Mr. Daniel Ramon Lumbierres presented the MSc Thesis  Optimal Supply Chain Strategy through Stochastic Programming in the Master of Statistics and Operations Research  (MESIO). This thesis is the result of the collaboration of Mr. Ramon in the funded research project  Digitalizing Supply Chain Strategy with 3D Printing granted by Accenture Technology Labs and was advised by prof. F.-Javier Heredia. A summary of this MSc Thesis has been presented in the 28th European Conference on Operational Research. The MSc Thesis Comission of the MESIO awarded that thesis with the highest grade "Matrícula de Honor" (A with Honours).

On June 2014 two new Master Thesis of the Master of Statistcs and Operations Research UPC-UB   was presented   

Dr. Cristina Corchero (IREC) and professor F.-Javier Heredia (GNOM) were the advisors of these two works developped at the facilities of the Catalonia Institute for Energy Research (IREC).