Effective production scheduling is pivotal to intelligent manufacturing, where Mixed-Integer Linear Programming (MILP)-based exact methods remain attractive for their guarantee of global optimality. Nevertheless, their deployment is constrained by the specialized expertise required for model formulation, particularly i...
Ming-Ming Peng, Jie Yang, Jin Huang et al.· IEEE Transactions on Automat...· 0 citations
This paper proposes an Embodied System Integration Methodology (ESIM), which translates cognitive models into fielded robotic systems, and demonstrates that by applying hardware acceleration and asynchronous pipelines, the ESIM framework consistently maintains end-to-end latencies within 10–20 ms across heterogeneous h...
The dynamic job shop scheduling problem (DJSSP) is critical for optimizing production efficiency in intelligent manufacturing systems under dynamic constraints. Traditional approaches, including heuristic dispatching rules (HDRs) and evolutionary hyper-heuristics, often struggle to generalize across dynamic and unseen...
Jin Huang, Zhengqi Shi, Qi-Hao Liu et al.· IEEE Transactions on Automat...· 0 citations
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