https://w3id.org/np/RAziGsdNa-891aWD1B1EU2iE8VBrclYOoh9NJF6pcHAng/Head https://w3id.org/np/RAziGsdNa-891aWD1B1EU2iE8VBrclYOoh9NJF6pcHAng http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAziGsdNa-891aWD1B1EU2iE8VBrclYOoh9NJF6pcHAng/assertion https://w3id.org/np/RAziGsdNa-891aWD1B1EU2iE8VBrclYOoh9NJF6pcHAng http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAziGsdNa-891aWD1B1EU2iE8VBrclYOoh9NJF6pcHAng/provenance https://w3id.org/np/RAziGsdNa-891aWD1B1EU2iE8VBrclYOoh9NJF6pcHAng http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAziGsdNa-891aWD1B1EU2iE8VBrclYOoh9NJF6pcHAng/pubinfo https://w3id.org/np/RAziGsdNa-891aWD1B1EU2iE8VBrclYOoh9NJF6pcHAng http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAziGsdNa-891aWD1B1EU2iE8VBrclYOoh9NJF6pcHAng/assertion https://doi.org/10.48550/arXiv.2507.17273 http://purl.org/dc/terms/title Leveraging Knowledge Graphs and LLM Reasoning to Identify Operational Bottlenecks for Warehouse Planning Assistance https://doi.org/10.48550/arXiv.2507.17273 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#iterativeReasoningLlmAgentForWarehousePlanningAssistance https://doi.org/10.48550/arXiv.2507.17273 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#directQa https://doi.org/10.48550/arXiv.2507.17273 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#directQaSr https://doi.org/10.48550/arXiv.2507.17273 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/ns/prov#Entity https://neverblink.eu/ontologies/llm-kg/methods#directQa http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#directQa http://www.w3.org/2000/01/rdf-schema#label Direct QA https://neverblink.eu/ontologies/llm-kg/methods#directQaSr http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#directQaSr http://www.w3.org/2000/01/rdf-schema#label Direct QA + SR https://neverblink.eu/ontologies/llm-kg/methods#iterativeReasoningLlmAgentForWarehousePlanningAssistance http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning https://neverblink.eu/ontologies/llm-kg/methods#iterativeReasoningLlmAgentForWarehousePlanningAssistance http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#iterativeReasoningLlmAgentForWarehousePlanningAssistance http://www.w3.org/2000/01/rdf-schema#comment The method introduces a novel LLM-based agent designed with an iterative reasoning mechanism to diagnose operational bottlenecks by interacting with a Knowledge Graph (KG) derived from Discrete Event Simulation data. 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