Organized by: Fatima Zahra Mhada, Mohammed V University, Morocco

The Internet of Things (IoT) is essential to Industry 4.0, whether it is in the development of intelligent and collaborative production systems through the use of sensors and tools that allow machines to communicate with one another or in the real-time tracking of products across the supply chain by providing information on the location, condition, and state of each product.

The information gathered from the equipment may be used to make decisions to enhance its performance or to anticipate breakdowns before they happen, which lowers maintenance expenses and downtime. While controlling deadlines and streamlining delivery routes while guaranteeing transit under ideal circumstances are made possible by the data gathered from the location and conditions of the delivered items.

This session's goal is to examine how Industry 4.0 uses IoT technology to save costs and provide real-time insight over shipments, inventories, and logistical operations. Thanks to items that are linked.

Topics under this session include (but not limited to) :

• Automation
• Preventive maintenance
• IoT and real-time tracking
• IoT and process optimization
• Smart factory
• Intelligent transport and logistics

Organized by:

• Ghizlane BENCHEIKH, Moulay Ismail University, Morocco; g.bencheikh@umi.ac.ma
• Ghita BENCHEIKH, CESI Ecole d’ingénieurs, France; gbencheikh@cesi.fr
• Yousra EL KIHEL, CESI Ecole d’ingénieurs, France; y.elkihel@cesi.fr

Absract :

This thematic session focuses on the combined use of intelligent multi-agent systems (MAS) and metaheuristics to enhance the operational management of supply chains. MAS provide a natural framework for modeling autonomous entities capable of perception, decision-making, and interaction in uncertain environments. When combined with powerful metaheuristic algorithms— such as genetic algorithms, ant colony optimization, or particle swarm optimization—they enable the design of robust, adaptive, and distributed problem-solving systems.

This session welcomes contributions on topics including, but not limited to:

• the modeling and simulation of logistics systems using MAS,
• the development of hybrid MAS-metaheuristic approaches,
• optimization in distribution, production planning, transportation, and warehouse management,

The session aims to foster dialogue between researchers and practitioners around intelligent and innovative solutions for operational logistics management.

Organized by:

• Prof. Dr. Evren Sahin, Université Paris Saclay - CentraleSupélec, France; evren.sahin@centralesupelec.fr
• Dr. Youssef Meliani, Université Savoie Mont Blanc, France; youssef.meliani@univ-smb.fr

Absract :

Real-time simulation, data-driven analytics, and digital-twin technologies are converging to transform supply-chain and operations management. These complementary approaches fuse live data, advanced optimisation, and immersive modelling to create cyber‑physical mirrors of entire, multi-tier networks—allowing decision-makers to test scenarios, predict disruptions, and optimise performance across the value chain. This special session welcomes research and industrial contributions that demonstrate how such adaptive models enhance planning, execution and continuous improvement across the supply-chain from strategic network design and S&OP planning through inventory and capacity management, logistics orchestration, manufacturing and reverse logistics.

We particularly encourage submissions that explore digital twins, data‑driven analytics, and real‑time simulation—individually or in combination—. Papers should provide quantitative evidence of value creation in efficiency, resilience, performance, human‑centric decision support, or environmental performance. Case studies, methodological contributions, architecture frameworks, and benchmark datasets are all in scope. Contributions that span multiple supply-chain stages or demonstrate end-to-end integration are encouraged. We likewise welcome other adaptive modelling paradigms—beyond the examples listed—that contribute to proactive, data‑driven supply-chain decision making.

Topics may include, but are not limited to

• Data-driven planning & forecasting ‒ Real‑time demand sensing, AI-powered forecasting, S&OP support, and scenario-based planning within digital-twin, data-driven, or real-time simulation environments.
• Inventory ‒ Multi-echelon inventory control, dynamic stock sizing, and capacity allocation using data driven, digital twin, or real time optimisation and simulation.
• Real-time resilience analytics ‒ Continuous risk monitoring, disruption detection, and proactive mitigation through twin-based “what-if” exploration and control.
• Coordination & collaboration via networked digital twins ‒ Interoperability standards, governance models, stakeholder roles, and decision alignment across supply-chain tiers.
• Circularity & reverse logistics ‒ Design and orchestration of end-of-life recovery, remanufacturing and recycling using data twining for the circular economy.
• Execution & operational control ‒ Real‑time scheduling, transport routing, warehouse operations and human-in-the-loop dashboards leveraging adaptive modelling environments.

Organized by:

• Pr. FIKRI MAJDA, ENCG- Agadir, Morocco; majdafikri@yahoo.fr

Absract :

Efficient supply chain management requires close coordination between production activities and distribution operations. This thematic session focuses on research and case studies addressing the joint optimization of production and distribution, aiming to reduce overall costs, improve lead times, and increase responsiveness to demand.

The session highlights integrated approaches that simultaneously handle decisions related to scheduling, production planning, resource allocation, and the organization of delivery routes. Contributions may include mathematical models, heuristic and metaheuristic methods, hybrid algorithms, as well as practical applications across various industrial sectors.

The goal is to promote systemic and innovative solutions capable of meeting today’s industrial logistics challenges and enabling smooth, optimized management of physical and informational flows.

Organized by:

• Prof.Sorin Eugen ZAHARIA, University POLITEHNICA of Bucharest, Romania ; sorin.zaharia@gmail.com

Absract :

Topics may include, but are not limited to

• Digitalisation of air transport and ground handling
• Green airport ground handling
• Passenger and cargo air transport development
• Business models for air transport and logistics
• Training and education for professionals in air transport and logistics.