Slaheddine Mestiri

Slaheddine Mestiri is a Researcher at the Chair of Material Handling and Logistics (Lehrstuhl für Fördertechnik Materialfluss Logistik) at the Technical University of Munich (TUM), located at Boltzmannstraße 15, Garching. Holding an M.Sc. degree, he actively contributes to logistics research through publications and the PlaKAT project, focusing on simulation-based solutions for transport systems and warehouse automation.

Research Profile

His work centers on discrete-event simulation, data-driven modeling, and AI applications in logistics. Key contributions include developing frameworks for material handling system modeling, transport system dimensioning, and order assignment strategies for heterogeneous fleets. Recent publications demonstrate increasing focus on warehouse AI scalability and feasibility assessment.

Publication Trends

Analysis of his 2021-2025 publications reveals consistent methodology: simulation-driven approaches applied to material flow challenges. Dominant themes include transport system optimization (43% of works), warehouse innovation (29%), and decision-support tool development (28%). His research shows progressive integration of AI concepts, particularly in 2024-2025 works addressing warehouse automation scalability.

Projects & Collaboration

• Primary contributor to PlaKAT project (funded by German Federal Ministry for Economic Affairs and Climate Action) developing a transport means selection compass
• Regular collaborator with Prof. Johannes Fottner and researchers including Soufi, David, and Küster
• Publications presented at German Material Flow Congress and in journals like Flexible Services and Manufacturing Journal

Research Infrastructure

Mestiri operates within TUM's Chair of Material Handling and Logistics, a research unit specializing in material flow systems. The chair maintains industry partnerships for applied logistics research, with Mestiri focusing on simulation model development and transport system analysis within this ecosystem.