Entropy representation at cell level in computer integrated manufacturing system (CIMS)

The authors study an equivalent-machine cell with different scheduling criteria such as minimizing the make span, minimizing the average throughput time and minimizing the maximum delay, and analyzing the mathematical representations of entropy under three conditions in which probabilities are defined correspondingly. Scheduling is shown to be a decision-making problem. In an intelligent control system, minimizing the entropy in every step could minimize the overall selecting entropy.<<ETX>>