Dr. Alexandre Forel

Former PhD and Postdoc student

Email: alexandre.forel(at)tum.de


Research interests

  • Production planning
  • Mathematical modelling & optimization
  • Stochastic optimization

Education

08/2015 – 04/2017 M. Sc. in Electrical Engineering
Royal Technical University of Stockholm, Sweden         
09/2013 – 04/2017 Engineering studies
Grenoble Institute of Technology – ENSE3, France

Working papers

I have submitted my thesis on March 31st, 2021. It includes three working papers:

Forel, A.; Grunow, M.: Stochastic programming in master production scheduling: overcoming barriers to industry application. Link to pdf

Forel, A.; Grunow, M.: Dynamic stochastic lot sizing with forecast evolution in rolling-horizon planning.

Forel, A.; Grunow, M.: Production planning for short seasonal demand with forecast evolution.


Conference contributions

  • Forel, A.: Dynamic stochastic lot sizing with forecast evolution. (Vortrag / International Lot-Sizing Workshop, Online seminar) 2020 mehr…
  • Forel, A.: Production planning under seasonal and uncertain demand. (Vortrag / 29th QBWL Workshop, Beilngries (Germany)) 2019 mehr…
  • Forel, A.: Rolling-horizon production planning with forecast evolution in the agrochemical industry. (Vortrag / GOR SCM Arbeitsgruppe, Ludwigshafen (Germany)) 2019 mehr…
  • Forel, A.: Production planning under seasonal and uncertain demand. (Vortrag / GPOM Workshop, Augsburg (Germany)) 2019 mehr…

Student project supervisions

  • Jogsch, N.: Combining prediction and optimisation models for plan stability improvement in the production planning of a semiconductor supply chain. Masterarbeit, 2020 mehr…
  • Soetanto J.: Production planning under demand uncertainty with forecast evolution in the agrochemical industry. Masterarbeit, 2020 mehr…
  • Hübner, M.: Robust optimization for campaign planning under seasonal demand uncertainty. Masterarbeit, 2020 mehr…
  • Kantemirova, L.: Robust optimization for campaign planning under seasonal demand uncertainty in the agrochemical industry. Masterarbeit, 2020 mehr…
  • Meyer, M.: A multi-objective approach for reducing nervousness in lot-sizing problems. Masterarbeit, 2019 mehr…
  • Legner, S.: An application of machine learning to predict plan instability in the production planning of a semiconductor supply chain. Masterarbeit, 2019 mehr…
  • Narajek, D.: Stock-building vs. capacity-underutilization decisions in semiconductor supply chains when facing uncertain market demand. Masterarbeit, 2019 mehr…
  • Buettner, F.: The value of recourse in a multi-stage stochastic environment. Masterarbeit, 2019 mehr…

  • Chia, N.: Event-driven monitoring of product development plans. Bachelorarbeit, 2021 mehr…