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About

Tiago Silveira is a operations research and combinatorial optimization specialist whose work focuses predominantly on pallet building problems — a complex class of three-dimensional packing challenges with significant industrial relevance. His research bridges theoretical modeling and real-world application, addressing practical constraints that arise in automated and robotized logistics systems, including visibility and contiguity requirements that reflect genuine operational demands in modern warehousing environments. Silveira's most influential contributions include the development of a Reactive GRASP-based metaheuristic algorithm for pallet building under practical constraints, which has garnered 12 citations since its 2020 publication, alongside complementary mathematical models and heuristic frameworks that have attracted an additional 11 citations. These works collectively advance the state of the art by incorporating industry-specific constraints — such as item rotation, stackability, visibility, and contiguity — that are frequently overlooked in classical packing literature. His 2020 case study demonstrating real-world applicability at a company producing robotized pallet-building systems further underscores the translational impact of his research. With a growing body of work that blends rigorous mathematical formulation with practical, deployable heuristics, Silveira represents an emerging voice in logistics optimization research with clear relevance to industrial automation and supply chain efficiency.