A Decision-Making tool based on historical data for service time prediction in outpatient scheduling.

Background: Appointment scheduling in outpatient settings typically uses simple classification rules to assign patients to long or short appointment slots, based on the anticipated duration of the patient-physician consultation, i.e., the service time.

Supplier selection based on a neural network model using genetic algorithm.

In this paper, a decision-making model was developed to select suppliers using neural networks (NNs). This model used historical supplier performance data for selection of vendor suppliers. Input and output were designed in a unique manner for training purposes.