Adaptive scheduling in dynamic flexible manufacturing systems: a dynamic rule selection approach

  title={Adaptive scheduling in dynamic flexible manufacturing systems: a dynamic rule selection approach},
  author={Sang-Chan Park and Narayan Raman and Michael J. Shaw},
  journal={IEEE Trans. Robotics and Automation},
This paper develops an adaptive scheduling policy for dynamic manufacturing systems. The main feature of this policy is that it tailors the dispatching rule to be used at a given point in time to the prevailing state of the system. The inductive learning methodology used for constructing this state-dependent scheduling policy also provides an understanding of the relative importance of the various system parameters in determining the appropriate dispatching rule. Experimental studies indicated… CONTINUE READING
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