Papers
17
Total Citations
362
H-Index
11
About
Mehdi Foumani is a prominent researcher specializing in robotic manufacturing systems, automated scheduling, and combinatorial optimization. His work sits at the intersection of operations research and intelligent automation, with a particular focus on robotic cell scheduling, automated storage and retrieval systems, and multi-robot environments. Foumani has made foundational contributions to the analysis and optimization of robotic workcells, developing novel cycle time minimization strategies for flexible, reentrant, and rotationally arranged robotic cells. His early work on two-machine robotic cells with swap ability and pickup restrictions established rigorous feasibility and optimality conditions that have become reference points in the field. Expanding into stochastic and dynamic settings, he has tackled rework scheduling with inspection systems and controllable processing times, bridging the gap between theoretical models and real-world manufacturing challenges. Among his most impactful contributions is the application of cross-entropy methods to robotic automated storage and retrieval systems, earning 55 citations, and his mixed-integer linear and constraint programming frameworks for multi-robot job shop scheduling in dynamic environments, which has garnered 59 citations. Collectively, his highly cited body of work — accumulating over 300 citations — reflects significant influence on how researchers and practitioners approach the automation and optimization of modern manufacturing and logistics systems.
Research Focus
Key Achievements
Top Papers
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- 4Cycle time analysis in reentrant robotic cells with swap ability30 citations · 2012
- 5Analysis of flexible robotic cells with improved pure cycle27 citations · 2012
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- 8Cyclic scheduling of a robotic flexible cell with load lock and swap18 citations · 2011
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