Maintenance is necessary, but service disruption isn’t. Some cable system repairs will impact service in ways that customers notice, but can be necessary and urgent. Fixing service while a customer is not using services is far better. But to do that without bothering the customer requires a usage forecast model.
With historical usage data of service classes, we created a simple model that predicts the amount of data being consumed by end devices in a cable plant. Using this model as an indicator of usage by customers, we can determine the best time for a repair interval of a defined duration, allowing a technician to time necessary but disruptive operations to minimize the disruption to customers. We analyzed the data, tested the model, then built a simple application based on the model which can specify the best time(s) to conduct a service disruptive repair for a defined duration, for a given set of end devices to be impacted.
The application is about to be tested in a trial. Customer call-in rate will be used to measure the effectiveness of the projected schedule, as compared to a baseline.