Work

Production Logistics Resource Recommendation Based on ‘Look-Around’ Reasoning Mechanism in Discrete Manufacturing

Year: 2025

Type: article

Abstract: Production logistics (PL) involves high levels of complexity and unpredictability, driven by volatile resource demands and a lack of synchronicity in operational workflows. Resilient and efficient resource allocation in PL is essential for optimizing production processes and forms a foundational element in managing resources to achieve zero inventory targets in an uncertain environment. This paper introduces a recommendation-driven approach for real-time resource allocation in PL. Firstly, a resource spatial-temporal knowledge graph (RSTKG) is constructed to capture and analyze the relationships among entities and historical allocation data. Then, we propose a ‘look-around’ reasoning mechanism, which leverages the temporal and spatial attributes of material buffers on shop floors to assess the cost-effectiveness of requested nodes compared to available resources, ultimately generating a resource allocation plan. Finally, to validate our approach, a case study is conducted in an air conditioning manufacturing company, where our method demonstrates a punctuality rate exceeding 90%, outperforming previous allocation methods.

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2025.09.345

Authors: Jinpeng Li, Mingyue Sun, Zhiheng Zhao, George Q. Huang

Institution: Hong Kong Polytechnic University

Language: English

Topic: Advanced Manufacturing and Logistics Optimization

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

Funders: Impact Fund, National Natural Science Foundation of China, Innovation and Technology Fund, Basic and Applied Basic Research Foundation of Guangdong Province