Jakob Puchinger

Professor in Supply Chain Management and Logistics at EM Normandie Business School

Affiliate Professor at the Industrial Engineering Laboratory  of CentraleSupélec - Université Paris Saclay, member of the Risk Reliability Resilience (R3) Research Group

Co-director of the Future Cities Lab at Centrale Pékin and CentraleSupélec

You can find me on Twitter and LinkedIn.

Academic author profiles: cv-hal, orcid, google scholar

You can join me via email: jpuchinger(at)em-normandie.fr

Bio
Jakob Puchinger is professor in Supply Chain Management and Logistics at  EM Normandie since 2022. He is also affiliate professor at the Laboratoire Génie Industriel at CentraleSupélec, Université Paris-Saclay and co-director of the Future Cities Lab with Centrale Pékin. Jakob Puchinger holds a doctoral degree from TU Wien obtained in 2006. His thesis investigated the combination of metaheuristics and integer programming for solving cutting and packing problems.  In 2006 Jakob Puchinger joined the NICTA Research Centre at the University of Melbourne working on generic hybridization of contraint programming and mathematical programming techniques. He joined the Austrian Institute of Technology in 2008 where he became head of the business unit Dynamic Transportation Systems in 2014. In 2015 Jakob Puchinger became Anthropolis Chair Holder and professor at IRT SystemX and CentraleSupélec, Université Paris-Saclay until September 2022. Jakob was also responsible for the research axis scientifix computing and optimization at IRT SystemX. His main research interests are in logistics and urban mobility, disruptive technologies and the optimization of the underlying transport systems. 

Professional experience

Research Topics

Sustainable Urban Logistics

Urban logistics and especially vehicle routing optimization is an essential part of my research. I focus on novel optimization problems for electric vehicle routing or multi-echelon deliveries using robotic vehicles as well as active mobility modes. The main objective in treating such problems is to reduce the environmental impact of delivery systems

The interaction with passenger transport and the sharing economy are also fields of interest, and pose very challenging questions in terms of vehicle and actvity synchronisation.

Optimization Methods

Difficult optimization problems appear in many highly important, practical fields. The methods of choice for solving such problems come from different streams: matehmatical optimization, local search including metaheuristics, and artifical intelligence.

My research mainly focusses on hybrid optimization methods combining approaches on model decomposition (e.g. Bender's decomposition or Dantzig Wolfe decomposition) and metaheuristics. Recently I am very much interested in methods for solving stochastic and dynamic optimization problems.

Mobility and Urban Futures

The future of cities is strongly related to the evolution of their transport systems.  I am am mainly considereing mobility of people in cities. I am interested in understanding urban environments on diferent scales, using data analysis, simulation, and optimization. 

I recently co-authored a book on the the topic: Tjark Gall, Flore Vallet, Laura Mariana Reyes Madrigal, Sebastian Hörl, Adam Abdin, Tarek Chouaki, Jakob Puchinger. Sustainable Urban Mobility Futures. Palgrave Macmillan, 2023.

Recently, I am interested in the interaction between electric autonomous vehicles and the power grid.

Research Team

Postdoctoral research collaborators

PhD Students

Past PhD Students

Full Publication List