Laia Soldevila

Papers

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About

Laia Soldevila is a researcher whose work lies at the intersection of additive manufacturing, distributed systems, and behavioural modelling. Her most-cited paper, "Modelling Behaviour for Distributed Additive Manufacturing" (2015), introduces a framework for understanding and simulating the decision-making processes of agents in decentralized production networks. This contribution is foundational for optimizing resource allocation, scheduling, and collaboration in environments where multiple independent 3D printing nodes operate without central control. By integrating behavioural models with manufacturing logistics, Soldevila’s work addresses key challenges in scalability and efficiency for distributed additive manufacturing. Though her citation count is modest, her research is highly relevant to the growing field of Industry 4.0 and cyber-physical production systems. Her approach bridges computational modelling and practical manufacturing, offering insights that could enable more resilient, adaptive, and autonomous production ecosystems. Soldevila’s work is particularly valuable for researchers exploring how human-like decision rules can be encoded into machine agents to improve system-level performance in decentralized manufacturing networks.