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A Neural Network Decision-Making Model For Job-Shop Scheduling”, Davood Golmohammadi Phd
A Neural Network Decision-Making Model For Job-Shop Scheduling”, Davood Golmohammadi Phd
Davood Golmohammadi
Scheduling in a job-shop system is a challenging task. Simulation modelling is a well-known approach for evaluating the scheduling plans of a job-shop system; however, it is costly and time-consuming, and developing a model and interpreting the results requires expertise. As an alternative, we have developed a neural network (NN) model focused on detailed scheduling that provides a versatile job-shop scheduling analysis framework for management to easily evaluate different possible scheduling scenarios based on internal or external constraints. A new approach is also proposed to enhance the quality of training data for better performance. Previous NN models in scheduling focus …