Multi-robot task allocation and scheduling (MRTAS) in aerospace manufacturing is highly challenging due to the coupled physical, logical, and resource constraints inherent in complex sequential operations. Traditional exact algorithms face scalability limitations, whereas manual constraint programming (CP) modeling req...
Zheng-Qi Shi, Xin-Yu Li, Qi-Hao Liu et al.· 2026 IEEE 22nd International...· 0 citations
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
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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