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KAPPS architecture uses knowledge graph for circular manufacturing

Researchers have developed KAPPS, a novel knowledge-based architecture designed for circular manufacturing systems. This architecture addresses the challenges of handling heterogeneous materials and dynamic processes inherent in reusing products. KAPPS utilizes an ontology-grounded knowledge graph as its central data backbone, enabling robust integration, reasoning, and communication across diverse systems. The system also includes modules for constraint enforcement and event-driven planning to adapt execution plans under uncertainty and facilitate human-machine knowledge exchange. AI

IMPACT Introduces a new architecture for managing complex, dynamic manufacturing processes using knowledge graphs, potentially improving efficiency and adaptability in circular economy initiatives.

RANK_REASON The cluster contains an academic paper detailing a new architecture for a specific manufacturing domain. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

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KAPPS architecture uses knowledge graph for circular manufacturing

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The cluster contains an academic paper detailing a new architecture for a specific manufacturing domain. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Steffen Staab ·

    KAPPS: A knowledge-based CPPS Architecture for the Circular Factory

    While linear manufacturing relies on homogeneous materials and predefined process sequences, circular manufacturing reintroduces used products with heterogeneous and uncertain conditions. This shift demands manufacturing systems capable of handling variable product states, dynami…