Business Context
Schedule Optimization Engine optimizes the schedules automatically for dispatchers for the entire workforce and the equipment that they use. Now, you can measure how effectively the optimization engine is working, by generating the forward-looking Schedule Optimization Metrics for any scheduled job. These help you determine if your organization’s optimization goals are met both with respect to efficiency of schedules and honoring of constraints without too many violations.
Depending on Schedule Optimization efficacy as measured using Schedule Optimization Metrics, you can maintain and fine-tune your dispatch process configurations for specific outcome-based results. These help you meet your business optimization goals such as minimizing drive time, improving service-levels, and decreasing the cost of dispatch.
Following are a couple of business use cases for Schedule Optimization Metrics:
• You want to understand the benefit of using Schedule Optimization, by comparing the optimized schedules from Schedule Optimization to your own historical data.
• You want to determine the best Schedule Optimization configuration for your org, by comparing the outputs of multiple runs obtained with distinct dispatch process configurations.