Intelligent decision method based on artificial intelligence technology and ROPN technology
A technology of intelligent decision-making and artificial intelligence, applied in the direction of neural learning methods, instruments, biological neural network models, etc., can solve the problems that the POPN model cannot be realized, the granular computing cannot overcome the deadlock problem, and the real-time decision-making cannot be realized, so as to prevent The effect of system resource deadlock, improving self-learning, enhancing the ability of rapid response and self-evolution
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[0042] Taking semiconductor production as an example, see Y.Qiao, N.Q.Wu, and M.C.Zhou, “Real-time scheduling of single-arm cluster tools subject to residency time constraints and bounded activity time variation,” IEEE Transactions on Automation Science and Engineering, vol.9, no.3, pp.564-577, July 2012.
[0043] Taking the single-arm manipulator combined equipment scheduling problem with time constraints as an example, the ROPN model construction method and process are introduced, and detailed demonstration and analysis are made on the time characteristics of the scheduling process, real-time control rules, and wafer dwell time delay. Based on the analysis, four feasible scheduling algorithms under different production conditions are obtained.
[0044] For ease of understanding, the production conditions are abstracted as a, b, c, d, e, and f below, and the scheduling scheme is represented by capital letters such as A, B, C, D, E, F, and G, and the following assumptions are ...
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