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
Coordinating a team of robots in aircraft skin fabrication requires allocating and sequencing tightly coupled subtasks under spatio-temporal constraints, while the fleet must react to runtime disturbances such as robot failures and urgent task arrivals. Mixed-Integer Linear Programming (MILP) yields provably optimal co...
Zhen-Dong Chen, Ming-Ming Peng, Hao Zhang et al.· IEEE Robotics and Automation...· 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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