AI for data-driven and self-configurable supply chains


Today's markets are characterized by great product diversity and product customization. Demand is volatile and uncertain. In addition, product life cycles are shortened and production and delivery times acceptable to customers are increasingly short. Therefore, today's businesses need to deploy flexible production systems, robust supply chains, and agile planning processes. In this context, current analytical tools are starting to reach their limit. Nevertheless, technologies evolve and offer interesting prospects. We refer, in particular, to Industry 4.0 technologies and advances in artificial intelligence and data science.

In the perimeter of this Chair, we are developing innovative decision-support tools for the planning and management of production systems and the supply chains, by coupling optimization and simulation with artificial intelligence techniques. This approach should allow a higher efficiency and have (self) -adaptive solutions, in particular in the case of a dynamic or uncertain environment and when the problems are not well defined.


G. Alpan (Speaker), Webinar "AI for Industry 4.0 in Grenoble Alpes "  for Japanese companies, organised by Invest In Grenoble-Alpes, & Business France in Japan, 6 July 2021.
G. Alpan (Speaker), Les rendez-vous de l'industrie #1  "VSES/SMES : how to make the best use of your industrial data", Event co-organised by the Auvergne-Rhône-Alpes Entreprises Region, Formation Pro de Grenoble INP-UGA - UGA, Maison de l'Emploi et de la Formation des Pays Voironnais et du Sud Grésivaudan, 7 October 2021.
G. Alpan, Key note speaker,  "Artificial intelligence in supply chain management: trends, challenges and opportunities", CIGI-Qualita 21 : International Industrial Engineering Conference QUALITA 2021.

12/02/2020 - Industrial Workshop, Grenoble
15/04/2020 - Visio seminar with industrial partners
02/06/2020 - Visio seminar with industrial partners
08/07/2020 - Visio seminar with industrial partners


  • Zakarya Soufi, Pierre David, Zakaria Yahouni. A methodology for the selection of Material Handling Equipement in manufacturing systems. INCOM 2021, Jun 2021, Budapest (virtual), Hungary. 
  • Hamza Bouzekri, Gülgün Alpan, Vincent Giard. Integrated Laycan and Berth Allocation and time-invariant Quay Crane Assignment Problem in tidal ports with multiple quays.European Journal of Operational Research, Elsevier, 2021.
  • Etienne Cuisinier, Cyril Bourasseau, Alain Ruby, Pierre Lemaire, Bernard Penz. Techno‐economic planning of local energy systems through optimization models: a survey of current methods.     International Journal of Energy Research, Wiley, 2021, 45, pp.4888-4931. 
  • Abdourahim Sylla, Thierry Coudert, Élise Vareilles, Laurent Geneste, Michel Aldanondo. Possibilistic Pareto-dominance approach to support technical bid selection under imprecision and uncertainty in engineer-to-order bidding process. International Journal of Production Research, Taylor & Francis, 2021, 59 (21), pp.6361-6381. 
  • Zakaria Yahouni, A. Ladj, F. Belkadi, O. Meski, M. Ritou. A smart reporting framework as an application of multi-agent system in machining industry. International Journal of Computer Integrated Manufacturing, Taylor & Francis, In press, 34 (5), pp.470-486.
  • Hamza Bouzekri, Gülgün Alpan, Vincent Giard. Modélisation du problème de l'allocation des planches et des postes à quai dans les ports vraquiers. MOSIM’20: 13ème Conférence Francophone de Modélisation, Optimisation et Simulation, Nov 2020, Agadir, Maroc.
  • Frédéric Noël, Gülgün Alpan, Fabien Mangione. A Complete Digital Chain to Enable the Digital Twin of a Shop Floor. IFIP Advances in Information and Communication Technology, pp.128-138, 2020,
  • Hamza Bouzekri, Gülgün Alpan, Vincent Giard. A dynamic hybrid Berth Allocation Problem with routing constraints in bulk ports. APMS 2020, Aug 2020, Novi Sad, Serbia. pp.250-258, 
  • Adèle Louis, Gülgün Alpan, Bernard Penz, Alain Benichou. On the Interest of Reconsidering a Real-Life Car Sequencing Model. International Conference on Information, Logistics & Supply Chain – ILS 2020, Apr 2020, Austin, United States.
  • Asefeh Hasani Goodarzi, Seyed Hessameddin Zegordi, Gülgün Alpan, Isa Nakhai Kamalabadi, Ali Husseinzadeh Kashan. Reliable cross-docking location problem under the risk of disruptions. Operational Research, Springer.
  • Hamza Bouzekri, Gülgün Alpan, Vincent Giard. Integrated Laycan and Berth Allocation Problem. International Conference on Industrial Engineering and Systems Management, Sep 2019, Shanghai, China. pp.1-6.
  • Hamza Bouzekri, Gülgün Alpan, Vincent Giard. Modélisation des problèmes de l’allocation des planches et des postes à quai 13ème Conférence internationale de CIGI QUALITA 2019, Jun 2019, Montréal, Canada
Published on  January 25, 2024
Updated on January 25, 2024